JP7155992B2 - Adjusting device, adjusting method and program - Google Patents

Description

The present invention relates to an adjusting device, an adjusting method and a program.

Conventionally, there is known an adjustment device that adjusts the control voltage of a voltage control device using a set value (see Patent Documents 1 and 2, for example).
Patent Document 1: JP-A-2010-220283 Patent Document 2: JP-A-2014-027737

However, in the conventional regulating device, voltage control performance may deteriorate when the power factor changes due to the introduction of renewable energy or the voltage rises during reverse power flow.

A first aspect of the present invention is an adjusting device for setting a set value of a voltage control device and adjusting a control voltage of a distribution system, wherein the setting is performed by a first calculation method based on actual measurement data of the control voltage. an actual measurement processing unit that, after setting the set value in the voltage control device, acquires the calculated value of the actually measured distribution of the control voltage based on the actually measured data of the control voltage; a virtual processing unit that obtains a calculated value of the virtual distribution of the control voltage by the second calculation method using the system parameters after being set in the control device; An adjuster is provided that updates the setpoint based on differences from the calculated distribution.

The first calculation method may be the same calculation method as the second calculation method.

The first calculation method may be a calculation method different from the second calculation method.

The first calculation method may be multiple regression analysis, and the second calculation method may be power flow calculation.

The adjustment device may further include a difference calculator for calculating the difference between the calculated value of the actual distribution and the calculated value of the virtual distribution. The setting value calculation unit may determine whether or not to update the setting value according to the difference calculation result by the difference calculation unit.

The setting value calculator may update the setting value by adding a voltage according to the difference calculation result to the control target voltage _Vref of the voltage control device set to the setting value.

The setting value calculator may adjust the allowable upper and lower limit values of the control voltage for each calculation method according to the difference calculation result by the difference calculator.

The adjustment device may further include a communication processing unit for communicating with the voltage control device. The communication processing unit may start adjusting the control voltage when the time for which the control voltage is out of the allowable range is longer than a predetermined period.

The regulator may communicate with multiple voltage controllers in series to set a target point for each of the multiple voltage controllers. The setting value calculation unit may calculate the setting value of the upstream voltage control device based on the control voltage distribution at the target point of each of the plurality of voltage control devices.

According to a second aspect of the present invention, there is provided an adjustment method for setting a setting value of a voltage control device and adjusting a control voltage of a distribution system, wherein the setting is performed by a first calculation method based on actual measurement data of the control voltage. After calculating the value and setting the set value in the voltage control device, obtaining a calculated value of the measured distribution of the control voltage based on the measured data of the control voltage, and setting the set value in the voltage control device. Obtaining the calculated value of the virtual distribution of the control voltage by the second calculation method using the later system parameters, and updating the setting value based on the difference between the calculated value of the actually measured distribution and the calculated value of the virtual distribution. and .

A third aspect of the present invention provides a program for causing a computer to execute the adjustment method according to the second aspect of the present invention.

It should be noted that the above summary of the invention does not list all the features of the invention. Subcombinations of these feature groups can also be inventions.

1 shows an example of a configuration of a voltage control system 300 according to an embodiment; 4 shows a flow chart of the operation of the voltage control system 300 according to the embodiment. FIG. 5 shows voltage changes in a line between an SVR installation point and a control target point according to a comparative example; FIG. 10 shows the relationship between the SVR ideal voltage V _s and the active power P _svr of the power flow passing through the SVR and the regression equation in Comparative Example 3. FIG. 10 shows the relationship between the SVR ideal voltage V _s and the reactive power Q _svr of the power flow passing through the SVR and the regression equation in Comparative Example 3. FIG. An example of a scatter diagram of the _SVR ideal voltage Vs when nonlinearity is strong is shown. An example of a scatter diagram of the _SVR ideal voltage Vs when nonlinearity is strong is shown. An example of the measured distribution of the control voltage in the embodiment is shown. 1 shows an example of a virtual distribution of control voltages in an embodiment. An example of the configuration of a voltage control system 300 according to another embodiment is shown. An example of the hardware configuration of a computer 1900 that functions as the adjustment device 100 is shown.

Hereinafter, the present invention will be described through embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Also, not all combinations of features described in the embodiments are essential for the solution of the invention.

FIG. 1A shows an example configuration of a voltage control system 300 according to an embodiment. The voltage control system 300 includes a regulating device 100 , a voltage control device 200 , a load 310 , a voltage measuring device 320 and distributed power sources 330 .

The voltage control device 200 controls the voltage _{Vr at the control target point in the wiring system of the voltage control system 300 to the control target voltage Vref .} A control target point indicates a position at which the voltage control device 200 should compensate for the voltage value. For example, the voltage control device 200 is a voltage control device such as a load tap changer (LRT: Load Ratio Control Transformer) or an automatic voltage regulator (SVR: Step Voltage Regulator) provided in a distribution system. Voltage control device 200 includes measurement section 210 , control section 220 , and communication section 230 .

Measurement unit 210 measures actual measurement data in voltage control device 200 . The measured data includes the voltage, current, phase, etc. measured by the voltage control device 200 . The measurement unit 210 may measure the secondary voltage of the voltage control device 200 and the passing power flow (that is, active power and reactive power) of the voltage control device 200 . Control unit 220 controls the operation of voltage control device 200 based on a set value, which will be described later. Communication unit 230 transmits and receives measurement data and setting values to and from adjusting device 100 .

Adjustment device 100 includes communication processing unit 10 , storage unit 20 , actual measurement processing unit 30 , difference calculation unit 40 , set value calculation unit 50 , system parameter estimation unit 60 , and virtual processing unit 70 . The adjustment device 100 functions as a line drop compensator (LDC) so as to maintain the voltage _{Vr at the control target point within a certain range from the control target voltage Vref .} The adjustment device 100 sets the setpoint of the voltage control device 200 and adjusts the voltage _{Vr at the control target point of the distribution system to the control target voltage Vref .}

A set value is a control parameter for voltage control by the voltage control device 200 . For example, the settings are the settings parameters x, r, V _ref . x and r are respective coefficients for active current and reactive current. After setting the setting value in the voltage control device 200, the adjustment device 100 of the present example updates the setting value based on the comparison between the first calculation method and the second calculation method.

Communication processing unit 10 communicates with voltage control device 200 . The communication processing unit 10 of this example communicates with the communication unit 230 . In one example, communication processing unit 10 receives actual measurement data from voltage control device 200 . The communication processing unit 10 may acquire measured data (for example, control voltage) from the voltage measuring device 320 on the distribution line. Communication processing unit 10 also transmits the set value set by adjusting device 100 to voltage control device 200 .

The storage unit 20 stores the measured data received by the communication processing unit 10 . The storage unit 20 may store the data acquired by the communication processing unit 10 in chronological order for a predetermined period. For example, the storage unit 20 stores the secondary-side voltage of the voltage control device 200, the control voltage, and the passing power flow of the voltage control device 200 for each designated time. The predetermined period of time may be one day, weeks, or months. The storage unit 20 transmits the stored measured data to the measured data processing unit 30 .

The measurement processing unit 30 acquires a calculated value of the measurement distribution based on the measurement data. After setting the setpoint in the voltage control device 200, the actual measurement processing unit 30 acquires the calculated value of the actual measurement distribution of the control voltage. For example, the calculated value of the measured distribution is at least one of the upper limit deviation amount, the lower limit deviation amount, the margin to the upper limit deviation, the margin to the lower limit deviation, and the voltage average value for the control voltage measured data for a predetermined period. including one.

The setting value calculation unit 50 calculates a setting value based on the calculated value of the measured distribution acquired by the measured processing unit 30 . In one example, the setting value calculator 50 calculates the setting value by the first calculation method based on the actually measured data of the control voltage. For example, the setting value calculator 50 calculates the setting value by multiple regression analysis. The setting value calculation unit 50 uses data accumulated for a certain period of time to calculate a setting value such that the control voltage after the secondary voltage control of the voltage control device 200 is within the allowable range for the passing power flow. Also, the setting value calculation unit 50 may calculate a setting value that makes the control voltage approach the center voltage within the allowable range. For example, the setting value calculator 50 calculates r, x, and V _ref as setting values. Adjusting device 100 sets the setting value calculated by setting value calculating section 50 in voltage control device 200 .

The system parameter estimation unit 60 estimates system parameters of the distribution system based on the measured data stored in the storage unit 20 . System parameters include power flow, impedance, magnitude of load 310, and the like. For example, the system parameter estimating unit 60 estimates the load on the distribution line based on the measured data, and uses the set value of the voltage control device 200 set in advance to simulate the control voltage by power flow calculation for a predetermined period. to run. Note that the magnitude of the load 310 may be an actual value measured by a sensor.

The virtual processing unit 70 obtains the calculated value of the virtual distribution of the control voltage by the second calculation method using the system parameters after setting the set values in the voltage control device 200 . The virtual processing unit 70 may calculate the calculated value of the virtual distribution using the second calculation method, which is more accurate than the first calculation method. In one example, the virtual processing unit 70 calculates the virtual distribution of the control voltage by simulation such as power flow calculation. For example, the calculated value of the virtual distribution is at least one of the upper limit deviation amount, the lower limit deviation amount, the margin to the upper limit deviation, the margin to the lower limit deviation, and the voltage average value for the measured data for a predetermined period. including one.

The difference calculator 40 compares the calculated values of the actual distribution and the calculated values of the virtual distribution. The difference calculator 40 compares the calculated value from the actual measurement processor 30 and the calculated value from the virtual processor 70, and calculates the difference between the calculated values of the actual control data and the calculated data. That is, the difference calculator 40 detects the deviation between the virtual distribution and the measured distribution. For example, in the case of voltage, it is the deviation of the middle point between the maximum voltage value and the minimum voltage value in a predetermined period, or the deviation of the average voltage value for one day.

The setting value calculator 50 updates the setting value based on the difference between the calculated value of the actual distribution and the calculated value of the virtual distribution. The setting value calculation unit 50 reflects the calculated value from the difference calculation unit 40 as a correction amount of the setting value calculation, and corrects the setting value calculation. After that, the setting value calculation unit 50 transmits the setting value to the voltage control device 200 via the communication processing unit 10 . For example, the setting value calculation unit 50 calculates the setting value so that the calculated setting value corrects the difference by shifting the voltage management upper and lower limit values necessary for calculation to reflect the difference.

Note that the setting value calculation unit 50 may determine whether or not to update the setting value according to the difference calculation result by the difference calculation unit 40 . For example, the setting value calculator 50 updates the setting value when the calculated value of the virtual distribution is preferable to the calculated value of the actual distribution. That is, the setting value calculation unit 50 does not need to update the setting value when the calculated value of the virtual distribution is less favorable than the calculated value of the actual distribution. The case where the calculated value of the virtual distribution is preferable to the calculated value of the actual distribution refers to the case where the voltage control performance of the adjusting device 100 is improved by updating the set value. For example, when the voltage control performance is improved, there are cases where the voltage deviation is small, and cases where the margin from the voltage upper and lower limit values is large.

Note that the first calculation method may be the same calculation method as the second calculation method. For example, both the first calculation method and the second calculation method are multiple regression analysis. Both the first calculation method and the second calculation method may be power flow calculations. In one example, multiple regression analysis uses actual data and linearly assumes a voltage drop, resulting in lower accuracy but faster processing.

Also, the first calculation method may be a different calculation method from the second calculation method. In one example, the setting value calculator 50 calculates the setting value using the first calculation method, which is faster than the second calculation method. For example, the first calculation method is multiple regression analysis, and the second calculation method is power flow calculation. However, the first calculation method may be power flow calculation and the second calculation method may be multiple regression analysis.

As described above, the adjusting device 100 calculates the difference between the virtual calculated value and the measured calculated value. The adjustment device 100 updates the setting value based on the difference between the virtual calculated value and the measured calculated value in order to correct the difference between the virtual calculated value and the measured calculated value. In addition, in order to correct the difference between the virtual calculated value and the actually measured calculated value, the adjusting device 100 calculates a value (for example, , control target voltage V _ref , voltage control width, etc.) may be updated. Thereby, the adjusting device 100 can reduce the difference between the virtual calculated value and the measured calculated value thereafter.

Adjusting device 100 can prevent voltage deviation of the control voltage by updating the set value. Note that the timing of updating the setting value may be every day, every month, or every year.

FIG. 1B shows a flowchart of the operation of voltage control system 300, according to an embodiment. Adjusting device 100 sets the setpoint of voltage control device 200 and adjusts the control voltage of the distribution system by executing steps S100 to S106. However, the operation of the adjustment device 100 is not limited to this example.

In step S100, a set value is calculated by the first calculation method based on the actually measured data of the control voltage. The first calculation method in this example is multiple regression analysis. In step S102, after the set value is set in the voltage control device 200, the calculated value of the measured distribution of the control voltage is acquired based on the measured data of the control voltage. In step S104, using the system parameters after setting the set values in the voltage control device 200, the calculated value of the virtual distribution of the control voltage is obtained by the second calculation method. The second calculation method in this example is power flow calculation. In step S106, the set value is updated based on the difference between the calculated value of the actual distribution and the calculated value of the virtual distribution.

Note that the adjusting device 100 may repeat updating of the set value. Adjusting device 100 may update the set value of voltage control device 200 at a predetermined timing. For example, the communication processing unit 10 starts adjusting the control voltage when the control voltage is out of the allowable range for longer than a predetermined period. That is, the adjustment device 100 does not need to update the set value of the voltage control device 200 when the control voltage is within the allowable range. As a result, power consumption can be reduced because the adjustment device 100 does not operate unnecessarily.

FIG. 2 shows voltage changes in the line between the SVR installation point and the control target point according to the comparative example. FIG. 2 shows voltage changes when the load on the line is large (that is, when the load is heavy) and when the load on the line is small (that is, when the load is low) for Comparative Examples 1 and 2. FIG.

Comparative Example 1 shows voltage changes without a line drop compensator (LDC). Comparative Example 2 shows the voltage change with an LDC. The LDC maintains the control target point voltage _Vr at the control target voltage _Vref . In one example, the control target voltage _Vref is 6600V. For example, the LDC controls the voltage at the control target point so that the error is in the range of 2% to 5% of the control target voltage _Vref . Errors include simulation errors, measurement errors, parameter errors, and the like.

Since Comparative Example 1 does not have an LDC, the voltage at the installation point of the SVR (for example, the SVR secondary voltage) drops toward the control target point. In Comparative Example 1, the voltage at the control target point has a deviation of _Vd1 from the control target voltage _Vref at light load, and a deviation of _Vd2 from the control target voltage _Vref at heavy load. Since the deviation under heavy load is larger than the deviation under light load, V _d1 <V _d2 .

On the other hand, in Comparative Example 2, the LDC raises and lowers the voltage at the installation point according to the load on the line. As a result, the voltage _Vr at the control target point can be controlled within a predetermined range with respect to the control target voltage _Vref under both light load and heavy load conditions.

However, in the comparative example, the voltage change is calculated by linear analysis using multiple regression analysis or the like. In the comparative example, using multiple regression analysis, actual measurement data accumulated for a certain period of time was used to calculate a setting value that would keep the control voltage within the allowable range after controlling the SVR secondary voltage for passing power flow. there is However, the adjusting device according to the comparative example cannot cope with the case where the power factor changes or the voltage rises during the reverse power flow.

Here, an example of voltage control by LDC will be described. Let V be the SVR secondary voltage, I be the passing current of the SVR (I=I _re +jI _im ), and Z be the impedance of the control target point (Z=r+jx). In this case, the voltage _Vr at the control target point is approximately calculated from the equation (1).

where _Ire is the real part of the through current and denotes the effective current. I _im is the imaginary part of the through current and represents the reactive current. Moreover, j represents the unit of an imaginary number. Also, r represents resistance and _jx represents reactance. Moreover, all the units are pu values based on the reference voltage [kV] and the reference capacity [kVA]. The SVR secondary voltage is controlled such that the voltage _{Vr at the control target point calculated by the equation (1) becomes the control target voltage Vref .}

The SVR adjusts the voltage of the distribution line on the load side by controlling the transformation ratio on the secondary side of the built-in transformer by tapping. The voltage _Vr at the control target point may vary from the voltage output from the SVR due to voltage fluctuations caused by line impedance and load current. In this case, even if the SVR secondary voltage is maintained at a constant value, the voltage _Vr at the control target point fluctuates due to load fluctuations.

The SVR controls the SVR secondary voltage so that the voltage _{Vr at the control target point calculated by Equation (1) becomes the control target voltage Vref .} Therefore, the LDC controls the transformation ratio such that the SVR secondary voltage V satisfies the following equation (2) so that _Vr = _Vref .

3A and 3B show the relationship between the SVR ideal voltage _Vs and the power of the SVR passing power flow and the regression equation in Comparative Example 3. FIG. FIG. 3A shows the relationship between the SVR ideal voltage V _s and the active power P _svr of the SVR passing power flow and the regression equation in Comparative Example 3. FIG. Regression formula 1 is a straight line with intercept=V _ref and slope=r. FIG. 3B shows the relationship between the SVR ideal voltage V _s and the reactive power Q _svr of the SVR passing power flow and the regression equation in Comparative Example 3. FIG. Regression equation 2 is a straight line with intercept=V _ref and slope=x. The SVR ideal voltage _Vs is a voltage when the SVR is ideally controlled so that the midpoint between the maximum value and the minimum value of the control voltage is the midpoint of the voltage control range.

In this example, the regression formula is set on the assumption that the voltage changes linearly with respect to the power flow. However, in Comparative Example 3, since it is assumed that the voltage change linearly changes with respect to the power flow in the target data, when the nonlinearity is strong, the voltage control result does not necessarily become the voltage control range. . Therefore, in Comparative Example 3, voltage excursion may occur even though there is control margin.

FIGS. 4A and 4B show an example of a scatter plot of the _SVR ideal voltage Vs when nonlinearity is strong. 4A and 4B show scatter plots and regression equations of SVR ideal voltage V _s and active power P _svr .

The scatter diagram of FIG. 4A shows the case where the power factor change and the power flow change are large. For example, it is a case where the power factor change and the power flow change during the PV power generation on the distribution line feeder and the load power reception during the day are large.

The scatter plot of FIG. 4B is an example with reactive power regulation. For example, there is a device such as a static capacitor that adjusts the reactive power according to the voltage in the control range of the SVR.

The range enclosed by the dotted frame in FIGS. 4A and 4B is a region where errors are likely to occur in the linear regression, and this corresponds particularly to heavy tidal currents. When the nonlinearity is strong like this, the voltage control is different from the case of linear regression, so voltage control errors occur, and voltage deviation is likely to occur. Therefore, when a voltage deviation occurs in the result of control by linear regression, it is necessary to calculate a set value for correcting the voltage deviation.

FIG. 5A shows an example of the measured distribution of the control voltage in the example. The vertical axis indicates control voltage, and the horizontal axis indicates time. In FIG. 5A, the measured data of the control voltage are plotted. The voltage average value refers to the voltage average value of the plotted measured data. The voltage upper limit value and the voltage lower limit value refer to the upper limit value and the lower limit value of the control voltage. From FIG. 5A, it is possible to calculate the upper limit deviation amount, the lower limit deviation amount, the margin amount to the upper limit deviation, the margin amount to the lower limit deviation, the voltage average value, and the like of the control voltage.

FIG. 5B shows an example of a virtual distribution of control voltages in an embodiment. The vertical axis indicates control voltage, and the horizontal axis indicates time. In FIG. 5B, the simulated hypothetical distribution of the control voltage is plotted. The voltage mean value refers to the mean value of the voltage plotted in the simulation results. The voltage upper limit value and the voltage lower limit value refer to the upper limit value and the lower limit value of the control voltage. From FIG. 5B, it is possible to calculate the upper limit deviation amount, the lower limit deviation amount, the margin amount to the upper limit deviation, the margin amount to the lower limit deviation, the voltage average value, and the like of the control voltage.

Although voltage excursion occurs in FIG. 5A, voltage excursion does not occur in FIG. 5B. That is, even if there is no voltage deviation in the simulation, the voltage deviation may occur in the actual data. Here, adjustment device 100 updates the set value so that voltage deviation does not occur during actual operation.

The difference calculator 40 calculates the difference between the calculated value of the actual distribution shown in FIG. 5A and the calculated value of the virtual distribution shown in FIG. 5B. Then, the setting value calculation section 50 can calculate a setting value according to the difference calculated by the difference calculation section 40 . In this way, when updating the setting value based on the data obtained in the predetermined period, the adjustment device 100 reflects the difference calculated by the difference calculation unit 40, so that the difference between the simulation result and the actual data is It is possible to reflect the deviation and improve the voltage control performance.

For example, the adjustment device 100 adds a difference to the control target voltage _Vref , which is the bias component of the setting value, so that the control target voltage _Vref is not optimal in multiple regression analysis when calculating the setting value, but the actual measurement data is considered. Optimal voltage control can be realized in the case.

Further, the setting value calculation unit 50 may update the setting value by adding a voltage according to the calculation result of the difference to the control target voltage _Vref of the voltage control device 200 set to the setting value. As a result, the set value calculator 50 shifts the entire control voltage and adjusts the control voltage so that it falls within the allowable range. The setting value calculator 50 may adjust the allowable upper and lower limit values of the control voltage for each calculation method according to the difference calculation result by the difference calculator 40 .

In addition, the adjustment device 100 adds the difference calculated by the difference calculation unit 40 to the upper limit voltage or the lower limit voltage of the voltage control range in the multiple regression analysis, so that the voltage distribution assumed during the setting value calculation is reduced by the difference. You can shift. In this manner, even if an error based on nonlinearity occurs in the setting value set by linear regression, the adjustment device 100 updates the setting value with the error based on nonlinearity taken into consideration, thereby performing the setting value. Value precision can be improved. Therefore, the adjustment device 100 can reflect the discrepancy from the actual measurement data, and can improve the voltage control performance.

FIG. 6 shows an example configuration of a voltage control system 300 according to another embodiment. A voltage control system 300 of this example includes a plurality of voltage control devices 200 .

A plurality of voltage control devices 200 are provided in series. The adjustment device 100 communicates with the plurality of voltage control devices 200 and sets a target point for each of the plurality of voltage control devices 200 . The adjustment device 100 adjusts the set value of the upstream voltage control device 200 based on each control voltage distribution. The adjustment device 100 may adjust the set values of the plurality of voltage control devices 200 in order from the downstream side. For example, after calculating the setting value of the voltage control device 200b one step downstream, the adjustment device 100 calculates the setting value of the voltage control device 200a one step upstream based on the system parameter after updating the setting value of the voltage control device 200b. to adjust.

As described above, the adjustment device 100 calculates the difference between the virtual calculated value and the measured calculated value, and updates the setting value based on the difference between the virtual calculated value and the measured calculated value. As a result, the adjustment device 100 can improve the voltage control performance. Therefore, the adjustment device 100 can cope with a change in power factor due to the introduction of renewable energy and a voltage increase during reverse power flow. Adjustment device 100 can be applied not only to the case of calculating the LDC parameters of voltage control device 200 by a linear method such as multiple regression analysis, but also to the case of a nonlinear calculation method. For example, power flow calculation is used as a simulator, and decision variables (LDC parameters) are updated by PSO (Particle Swarm Optimization). Such a technique is particularly effective when the voltage controller (SVC, etc.) has a nonlinear element. Even in this case, adjusting device 100 can update the set value based on the difference between the virtual calculated value and the actually measured calculated value to improve the voltage control performance.

FIG. 7 shows an example of the hardware configuration of a computer 1900 that functions as the adjustment device 100. As shown in FIG. Also, a plurality of computers may work together to function as the adjustment device 100 .

The exemplary computer 1900 includes a CPU peripheral comprising a CPU 2000, a RAM 2020, a graphics controller 2075, and a display device 2080 interconnected by a host controller 2082, and an input/output controller 2084 connected to the host controller 2082. an input/output unit having a communication interface 2030, a hard disk drive 2040, and a DVD drive 2060, and a legacy input/output unit having a ROM 2010, a flexible disk drive 2050, and an input/output chip 2070 connected to an input/output controller 2084. Prepare.

Host controller 2082 connects RAM 2020 with CPU 2000 and graphics controller 2075 which accesses RAM 2020 at a high transfer rate. The CPU 2000 operates based on programs stored in the ROM 2010 and RAM 2020, and controls each section. The graphic controller 2075 acquires image data generated by the CPU 2000 or the like on a frame buffer provided in the RAM 2020 and displays it on the display device 2080 . Alternatively, the graphics controller 2075 may internally include a frame buffer for storing image data generated by the CPU 2000 or the like.

The input/output controller 2084 connects the host controller 2082 with the communication interface 2030, hard disk drive 2040, and DVD drive 2060, which are relatively high-speed input/output devices. Communication interface 2030 communicates with other devices over a network. Hard disk drive 2040 stores programs and data used by CPU 2000 in computer 1900 . DVD drive 2060 reads programs or data from DVD-ROM 2095 and provides them to hard disk drive 2040 via RAM 2020 .

Also connected to the I/O controller 2084 are the ROM 2010 , the flexible disk drive 2050 and the I/O chip 2070 , which are relatively low-speed I/O devices. The ROM 2010 stores a boot program executed by the computer 1900 at startup and/or a program depending on the hardware of the computer 1900, and the like. Flexible disk drive 2050 reads programs or data from flexible disk 2090 and provides them to hard disk drive 2040 via RAM 2020 . Input/output chip 2070 connects floppy disk drive 2050 to input/output controller 2084 and inputs/outputs various input/output devices via, for example, parallel ports, serial ports, keyboard ports, mouse ports, and the like. Connect to controller 2084 .

A program provided to hard disk drive 2040 via RAM 2020 is stored in a recording medium such as flexible disk 2090, DVD-ROM 2095, or an IC card and provided by the user. The program is read from the recording medium, installed in hard disk drive 2040 in computer 1900 via RAM 2020, and executed in CPU 2000. FIG. The program is installed in the computer 1900 and causes the computer 1900 to function as each component of the adjustment device 100. FIG.

The information processing described in the program is read by the computer 1900, and the communication processing unit 10, the storage unit 20, and the actual measurement processing unit 30, which are concrete means in which the software and the various hardware resources described above cooperate with each other. , the difference calculator 40 , the set value calculator 50 , the system parameter estimator 60 and the virtual processor 70 . Then, by realizing calculation or processing of information according to the purpose of use of the computer 1900 in this embodiment, the specific adjustment device 100 is constructed according to the purpose of use.

As an example, when communicating between the computer 1900 and an external device or the like, the CPU 2000 executes a communication program loaded on the RAM 2020, and based on the processing content described in the communication program, the communication interface. 2030 is instructed to perform communication processing. Under the control of the CPU 2000, the communication interface 2030 reads transmission data stored in a transmission buffer area or the like provided on a storage device such as the RAM 2020, the hard disk drive 2040, the flexible disk 2090, or the DVD-ROM 2095, and transmits the transmission data to the network. It transmits or writes received data received from a network into a receive buffer area or the like provided on a storage device. In this way, communication interface 2030 may transfer data to and from a storage device using a DMA (direct memory access) method. The transmission/reception data may be transferred by reading the data from and writing the data to the communication interface 2030 or storage device of the transfer destination.

In addition, the CPU 2000 selects all or necessary parts from files or databases stored in external storage devices such as the hard disk drive 2040, the DVD drive 2060 (DVD-ROM 2095), the flexible disk drive 2050 (flexible disk 2090), and the like. is read into the RAM 2020 by DMA transfer or the like, and various processes are performed on the data on the RAM 2020 . Then, the CPU 2000 writes the processed data back to the external storage device by DMA transfer or the like. In such processing, the RAM 2020 can be regarded as temporarily holding the contents of the external storage device. Therefore, in this embodiment, the RAM 2020 and the external storage device are collectively referred to as a memory, a storage unit, or a storage device. Various kinds of information such as various programs, data, tables, databases, etc. in this embodiment are stored in such a storage device, and are subject to information processing. Note that the CPU 2000 can also hold part of the RAM 2020 in cache memory and perform reading and writing on the cache memory. Even in such a form, the cache memory is responsible for part of the functions of the RAM 2020, so in this embodiment, the cache memory is also included in the RAM 2020, memory, and/or storage device unless otherwise indicated. do.

In addition, the CPU 2000 performs various operations, including various calculations, information processing, condition determination, information search/replacement, etc., which are specified by the instruction sequence of the program, on the data read from the RAM 2020, and which are described in the present embodiment. and write it back to the RAM 2020 . For example, when the CPU 2000 makes a conditional judgment, whether or not the various variables shown in this embodiment satisfy conditions such as being larger, smaller, greater than or equal to, less than or equal to other variables or constants. is determined, and if the condition is met (or not met), branch to a different instruction sequence or call a subroutine.

The CPU 2000 can also search for information stored in a file, database, or the like in the storage device. For example, when a plurality of entries in which attribute values of a first attribute are respectively associated with attribute values of a second attribute are stored in the storage device, the CPU 2000 performs processing of the plurality of entries stored in the storage device. An entry whose attribute value of the first attribute matches the specified condition is searched from among the entries, and the attribute value of the second attribute stored in that entry is read out to associate it with the first attribute that satisfies the predetermined condition. It is possible to obtain the attribute value of the given second attribute.

The programs or modules described above may be stored in an external recording medium. As the recording medium, in addition to the flexible disk 2090 and DVD-ROM 2095, optical recording media such as DVD, Blu-ray (registered trademark), or CD, magneto-optical recording media such as MO, tape media, and semiconductors such as IC cards. A memory or the like can be used. Alternatively, a storage device such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet may be used as a recording medium to provide the program to the computer 1900 via the network.

Although the present invention has been described above using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is obvious to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the description of the scope of claims that forms with such modifications or improvements can also be included in the technical scope of the present invention.

The execution order of each process such as actions, procedures, steps, and stages in the devices, systems, programs, and methods shown in the claims, the specification, and the drawings is particularly "before", "before etc., and it should be noted that they can be implemented in any order unless the output of the previous process is used in the subsequent process. Regarding the operation flow in the claims, the specification, and the drawings, even if the description is made using "first," "next," etc. for the sake of convenience, it means that it is essential to carry out in this order. not a thing

Reference Signs List 10 Communication processing unit 20 Storage unit 30 Actual measurement processing unit 40 Difference calculation unit 50 Set value calculation unit 60 System parameter estimation unit 70 Virtual processing unit 100 Adjustment device 200 Voltage control device 210 Measurement unit 220 Control unit 230 Communication unit 300 Voltage control system , 310... Load, 320... Voltage measuring device, 330... Distributed power supply, 1900... Computer, 2000... CPU, 2010... ROM, 2020... RAM, 2030... Communication interface 2040 Hard disk drive 2050 Flexible disk drive 2060 DVD drive 2070 Input/output chip 2075 Graphic controller 2080 Display device 2082 ... host controller, 2084 ... input/output controller, 2090 ... flexible disk, 2095 ... DVD-ROM

Claims (11)

A regulating device for setting a setpoint value of a voltage control device and regulating a control voltage of a distribution system,
a setting value calculation unit that calculates a setting value by a first calculation method based on the measured data of the control voltage;
a measurement processing unit that obtains a calculated value of the measured distribution of the control voltage based on the measured data of the control voltage after setting the set value in the voltage control device;
a virtual processing unit that obtains a calculated value of the virtual distribution of the control voltage by a second calculation method using system parameters after setting the set value in the voltage control device,
The adjustment device, wherein the setting value calculation unit updates the setting value based on a difference between the calculated value of the actual distribution and the calculated value of the virtual distribution. The adjustment device according to claim 1, wherein the first calculation method is the same calculation method as the second calculation method. The adjustment device according to claim 1, wherein the first calculation method is a calculation method different from the second calculation method. The first calculation method is multiple regression analysis,
The adjustment device according to claim 3, wherein the second calculation method is power flow calculation. Further comprising a difference calculation unit for calculating the difference between the calculated value of the actual distribution and the calculated value of the virtual distribution,
The adjustment device according to any one of claims 1 to 4, wherein the setting value calculation unit determines whether or not to update the setting value according to a difference calculation result by the difference calculation unit. 6. The setting value calculation unit updates the setting value by adding a voltage according to the calculation result of the difference to the control target voltage _Vref of the voltage control device set to the setting value. Adjusting device according to . The adjustment device according to claim 5, wherein the setting value calculator adjusts the allowable upper and lower limit values of the control voltage for each calculation method according to the difference calculation result by the difference calculator. further comprising a communication processing unit for communicating with the voltage control device,
The adjusting device according to any one of claims 1 to 7, wherein the communication processing unit starts adjusting the control voltage when the control voltage is out of the allowable range for a period longer than a predetermined period. . The adjustment device communicates with a plurality of voltage control devices provided in series, sets a target point for each of the plurality of voltage control devices,
9. The setting value calculation unit calculates the setting value of the upstream voltage control device based on the control voltage distribution at the target point of each of the plurality of voltage control devices. Adjusting device according to . An adjustment method for setting a setpoint value of a voltage control device and adjusting a control voltage of a distribution system, comprising:
calculating a setting value by a first calculation method based on the measured data of the control voltage;
obtaining a calculated value of the measured distribution of the control voltage based on the measured data of the control voltage after setting the set value in the voltage control device;
obtaining a calculated value of the virtual distribution of the control voltage by a second calculation method using system parameters after setting the set value in the voltage control device;
and updating the setting value based on the difference between the calculated value of the actual distribution and the calculated value of the virtual distribution. A program for causing a computer to execute the adjustment method according to claim 10.

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