JP5192425B2 - Control device and control method for automatic voltage regulator - Google Patents

Description

  The present invention relates to a control device and a control method for an automatic voltage regulator for setting a setting parameter of the automatic voltage regulator.

  The voltage of the distribution system is controlled by tap switching of a transformer (LRT: Load Ratio Tap-changer) of a distribution substation and tap switching of an automatic voltage regulator (SVR). These devices are provided with an LDC (Line Drop Compensator) which is a control device that determines the secondary voltage (output voltage) of the LRT and SVR so as to compensate for the voltage drop of the system. As a method for determining the parameters of the LDC, the following method is shown.

  For example, Non-Patent Document 1 discloses a method for obtaining an LDC parameter by a calculation formula from the maximum and minimum values of the SVR passing current and the power factor. Patent Document 1 discloses a technique for limiting the settling range of LDC parameters and obtaining a settling value that optimizes an evaluation index by means of power flow calculation and a reactive tab search technique (optimization technique).

“Progress and application of line voltage regulators”, modern distribution technology, Denki Sho pp. 128-134 (1972) Kenichi Adachi "Introduction to Multivariate Analysis-From Linear Algebra to Multivariate Analysis" Shinohara Publishing Shinsha (2005/12)

JP 2002-51466 A JP 2008-154418 A

  In the method described in Non-Patent Document 1, the case where the power factor of the system changes with time is not assumed. For this reason, for example, in a ferrant phenomenon generating system in which the phase voltage of the night increases (the power factor increases and the system voltage increases), the LDC cannot properly compensate the voltage, and the SVR The voltage adjustment function may not work sufficiently.

  Moreover, in the method described in Patent Document 1, it is necessary to perform enormous power flow calculation and parameter search for parameter determination, and calculation time and calculation function are required to obtain a good solution.

  As described above, in a power distribution system in which ferrant phenomenon occurs and a power distribution system in which the power factor changes with time, a practical method for appropriately setting SVR parameters has not been established, and in particular, SVR parameters are set. It is a situation that remains as a difficult problem for practitioners. On the other hand, with the advancement of information and communication technology, the measurement data of the distribution system is in the direction of being collected sequentially. By using the measurement value database, the problem of parameter setting of SVR is solved, and by the more advanced use of SVR, The aim was to enable high-efficiency operation of the power distribution system and operational efficiency of practitioners.

  An object of the present invention is to provide a control device for an automatic voltage regulator that can set a settling parameter of the automatic voltage regulator appropriately in a short time using measurement information of a distribution system.

  Another object of the present invention is to provide a control method for an automatic voltage regulator that can set the setting parameters of the automatic voltage regulator in a short time and appropriately using measurement information of the distribution system.

  In one aspect, the present invention stores a measurement database that stores measured values of the amount of electricity at each time of the distribution system, and an ideal value of the secondary voltage (hereinafter referred to as output voltage) of the voltage automatic regulator of the distribution system. An ideal voltage database for the automatic voltage regulator and a settling parameter database for the automatic voltage regulator that stores the settling parameters of the automatic voltage regulator, and the ideal value of the output voltage of the automatic voltage regulator is the measurement of the electric quantity The settling parameter of the automatic voltage regulator is calculated from the ideal value of the output voltage of the automatic voltage regulator and the measured value of the electric quantity.

  In another aspect of the present invention, the settling parameter of the voltage automatic regulator is subjected to a multiple regression analysis of the correlation between the ideal value of the output voltage of the voltage automatic regulator and the measured value of the electrical quantity of the distribution system. It is to ask by.

  In another aspect of the present invention, the output voltage ideal value of the automatic voltage regulator is such that the settling parameter of the automatic voltage regulator is within the voltage upper and lower limit range of the analysis target node of the distribution system in the analysis target period. And the relationship between the ideal value of the output voltage of the automatic voltage regulator and the current real part and current imaginary part passing through the automatic voltage regulator is obtained by multiple regression analysis.

  In another aspect of the present invention, the output voltage ideal value of the automatic voltage regulator is such that the settling parameter of the automatic voltage regulator is within the voltage upper and lower limit range of the analysis target node of the distribution system in the analysis target period. And the relationship between the ideal value of the output voltage of the automatic voltage regulator and the active power and reactive power passing through the automatic voltage regulator is obtained by multiple regression analysis.

  In another aspect of the present invention, state estimation or power flow calculation results are used in place of the measured value of the electrical quantity of the distribution system.

  Further, the measured values of the amount of electricity in the distribution system are the current passing through the automatic voltage regulator, the current power factor, the terminal voltage, and the voltage of the distribution system node.

  In another aspect of the present invention, the measured value of the electrical quantity of the distribution system is a current real part, a current imaginary part, a terminal voltage, and a voltage of the distribution system node that pass through the automatic voltage regulator. .

  In another aspect of the present invention, the measured value of the electric quantity of the distribution system is active power, reactive power, terminal voltage, and voltage of the distribution system node that pass through the automatic voltage regulator.

  According to another aspect of the present invention, the setting parameter of the voltage automatic regulator is transmitted to a control unit of the voltage automatic regulator via a communication network.

  In another aspect of the present invention, the settling parameter determination device for the automatic voltage regulator is provided as a function of a control unit of the automatic voltage regulator.

  According to another aspect of the present invention, the settling parameter determination device for the automatic voltage regulator has a database having a plurality of settling parameters for each condition such as season, day of the week, time zone, or difference in system configuration. .

  In another aspect of the present invention, the controller of the automatic voltage regulator has a database having a plurality of settling parameters for each condition such as season, day of the week, time zone, or difference in system configuration, The settling parameter is switched according to the command.

  According to a preferred embodiment of the present invention, an LDC is determined by an algorithm for determining LDC parameters based on voltage measurement data of sensors in a distribution system and measurement data corresponding to SVR output voltage Vsvr, SVR passing active power Psvr, and reactive power Qsvr. By determining the parameters, it is possible to appropriately set the parameters even in a system in which the power factor changes.

  In addition, according to the preferred embodiment of the present invention, it is not necessary to perform tidal current calculation or parameter search, so that the calculation amount is small and the calculation can be performed at high speed. In addition, the parameters are determined in consideration of the system status of multiple sections over the course of the year, week, and 24 hours based on actual measurement data history instead of two sections such as heavy load and light load. There is an effect that it is possible to determine a parameter that enables voltage control in conformity.

  Furthermore, according to a preferred embodiment of the present invention, measurement data such as voltage, current, active power, reactive power, etc. of sensors in the distribution system, and measurement corresponding to SVR output voltage Vsvr, SVR passing active power Psvr, and reactive power Qsvr. By determining the LDC parameter based on the data, it is possible to appropriately set the parameter even in a system in which the power factor changes.

  Moreover, the voltage of each node of the power distribution system can be taken into account by power flow calculation and state estimation calculation, and it is possible to reduce the number of sensors and communication network equipment installed in the power distribution system.

  In addition, by determining parameters by multiple regression analysis, it is not necessary to perform parameter search, so the amount of calculation such as tidal current calculation required at the time of search is reduced, and the calculation load can be reduced and at high speed. There is an effect that parameters can be obtained.

  According to a preferred embodiment of the present invention, the LDC parameter determination device is provided as a function of the control unit of the SVR, so that the LDC parameter can be reduced with a small number of sensors and communication networks, such as when the point where the voltage is most severe is narrowed down in advance. Can be calculated, and the amount of accumulated database can be reduced.

  According to a preferred embodiment of the present invention, when the LDC parameter determination device has a plurality of representative LDC parameter sets and the LDC has a plurality of sets, and is used by switching appropriately, the load situation and the system situation change greatly. In addition, the SVR can operate appropriately, and there is an effect that voltage maintenance, system voltage margin expansion, and high-efficiency operation are possible.

  Other objects and features of the present invention will be clarified in the embodiments described below.

It is a distribution system schematic diagram provided with the parameter determination apparatus of the automatic voltage regulator by one Example of this invention. It is explanatory drawing which shows the structure of the voltage automatic regulator SVR by one Example of this invention. It is a block diagram of the LDC parameter determination apparatus by one Example of this invention. 4 is a flowchart illustrating an LDC parameter determination algorithm according to an embodiment of the present invention. It is a process image figure of the flowchart which shows the LDC parameter determination algorithm by one Example of this invention. It is an example systematic diagram explaining the settling parameter determination procedure of the automatic voltage regulator SVR according to another embodiment of the present invention. It is a data example figure of passage effective power of SVR in FIG. 6, reactive power, and a power factor. FIG. 7 is a data example diagram of an ideal output voltage Vs and a terminal voltage Vr ′ of the SVR in FIG. 6. It is a figure which shows the result of having set the parameter shown in FIG. 8 to LDC of SVR, and having determined the SVR voltage according to Formula (1). 6 is a flowchart illustrating an LDC parameter determination algorithm according to another embodiment of the present invention. It is an example of the database of the parameter set for every season, day of the week, and time slot | zone by one Example of this invention. It is a database example figure of the parameter set for every system | strain structure by one Example of this invention. It is the graph which plotted the ideal value of Vs with respect to the observed value Psvr of the multiple regression analysis. It is the graph which plotted the predicted value of Vs with respect to the observed value Psvr of the multiple regression analysis. It is the graph which plotted the ideal value of Vs with respect to the observed value Qsvr of multiple regression analysis. It is the graph which plotted the predicted value of Vs with respect to the observed value Qsvr of the multiple regression analysis.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a schematic diagram of a power distribution system provided with a parameter determination device for an automatic voltage regulator according to an embodiment of the present invention, and shows a configuration of a power distribution system 100, an LDC parameter determination device 10 and a communication network 190 connecting them. ing. The distribution system 100 includes a distribution substation 110, a node (bus) 120, a distribution line 140 connecting them, a load 150 connected to the node 120, a generator 130, and a sensor 170 installed in the distribution line. The sensor 170 measures line current, flow power factor, active power P, reactive power Q, node voltage V, and the like, and sends information to the LDC parameter determination device 10 via the communication terminal station 180 and the communication network 190. A voltage regulator SVR 300 is installed in series on the distribution system 100 line. A control device 310 is connected to the SVR 300, and the LDC is also included in this control device. The control device 310 is connected to the communication terminal station 180 and receives information from the LDC parameter determination device 10 via the communication network 190.

  The sensor 171 measures the measured voltage Vsvr of the output of the active power Psvr, the reactive power Qsvr, the current Isvr, and the SVR that pass through the SVR 300.

FIG. 2 shows a configuration of an automatic voltage regulator SVR300 according to an embodiment of the present invention. The SVR 300 includes a single-turn transformer 301, a tap changer 302, and a control device 310. Sensor 311 for measuring line current Isvr and sensor 312 for measuring voltage Vsvr are connected to measuring unit 320 of control device 310. The LDC 330 calculates active power Psvr, reactive power Qsvr, and power factor cos θ from the current and voltage measured by the measurement unit 320. In the LDC 330, parameters R, X, and Vref (or Ap, Aq, and Vref) determined by the LDC parameter determination device 10 are set. R is a coefficient for the real part Ir of the passing current of SVR, X is a coefficient for the imaginary part Ix of the passing current of SVR, and Vref is a reference voltage. (Ap is a coefficient for the active power Psvr of the SVR, and Aq is a coefficient for the reactive power Qsvr of the SVR.)
Next, calculation processing of the LDC 330 will be described. First, the ideal value Vs is calculated according to the equation (1). When the SVR output voltage Vsvr is lower than the ideal value Vs by a certain value or more, a certain time elapses, the SVR tap 302 is changed in the upward direction to increase the output voltage. On the contrary, when the SVR output voltage Vsvr is larger than the ideal value Vs by a certain value or more, a certain time elapses, the tap 302 of the SVR 300 is changed in the downward direction, and the output voltage is lowered. As described above, the LDC 330 controls the output voltage based on the passing power information of the SVR 300 and the LDC parameters. Vs = Vref + R · Ir + X · Ix
= Vref + Ap · Psvr + Aq · Qsvr ……………………………… (1)
A detailed configuration example of the SVR is also described in detail in Non-Patent Document 1.

  FIG. 3 is a configuration diagram of the LDC parameter determination apparatus 10 according to an embodiment of the present invention. A display device 11, an input unit 12 such as a keyboard and a mouse, a computer (CPU) 13, a communication unit 14, a RAM 15, and various databases are connected to the bus line 30. As the database, there are tidal current calculation data 21, measurement data 22, control device settling data 23, SVR ideal voltage data 24, and program data 25. A computer (CPU) 13 executes a calculation program to instruct image data to be displayed, search for data in various databases, and the like. The RAM 15 is a memory for temporarily storing calculation result data such as display image data, power flow calculation results, measurement data list, settling parameter calculation results, and SVR ideal voltage calculation results. Based on these data, the CPU 13 generates necessary image data and displays it on the display device 11 (for example, a display screen).

  The memory in the LDC parameter determination device is roughly divided into five databases. The tidal current calculation data 21 stores system configuration data representing the line constant Z (= R + jX) indicating the impedance of the line 140, the load / power generation amount, and the connection status of the system lines and nodes. The measurement data 22 includes information such as line current, current power factor, active power P, reactive power Q, load and power generation amount, and node voltage V measured by the sensor 170 in the distribution system 100 for each time section. Is stored. These data are transmitted via the communication network 190 and the communication means 14 of the LDC parameter determination device 10. In addition to this, the measurement data 22 includes line current, current power factor, active power P, reactive power Q, load and power generation amount, and node voltage V for each time section obtained by power flow calculation and state estimation calculation. Such information is also stored. The controller settling data 23 stores RDC settling parameter values R, X, Vref, Ap, Aq, and the like, which are calculation results. R is a coefficient for the real part Ir of the SVR passing current, X is a coefficient for the imaginary part Ix of the SVR passing current, Vref is a reference voltage, Ap is a coefficient for the active power Psvr of the SVR, and Aq is a coefficient for the reactive power Qsvr of the SVR. It is. The SVR ideal voltage data 24 stores the calculation result of the ideal value of the SVR output voltage at each time. The program data 25 stores a tidal current calculation program, a state estimation calculation program, and a multiple regression analysis program, which are calculation programs. These programs are read by the CPU 13 as necessary, and calculation is executed.

  FIG. 4 is a flowchart illustrating an LDC parameter determination algorithm according to an embodiment of the present invention. The calculation processing contents of the LDC parameter determination apparatus 10 shown in this figure will be described. In the figure, an example of a procedure for determining LDC parameters based on voltage measurement data of sensors in the distribution system, measurement data corresponding to SVR output voltage Vsvr, SVR passing active power Psvr, and reactive power Qsvr is shown. . Hereinafter, the flow of processing will be described.

  First, in step S1, data necessary for processing is read. The period to be analyzed is determined (for example, the user may specify the past one week or the like), and the SVR output voltage Vsvr, the current Isvr passing through the SVR and the power factor cos θ for each time of the target period are read. Instead of the power factor cos θ, measurement data (Psvr, Qsvr) corresponding to SVR passing active power and reactive power may be read. The real part Ir and the imaginary part Ix of the current are calculated from Isvr, cos θ (or Psvr, Qsvr) and the system reference voltage (for example, 6.6 [kV]). Also, values corresponding to the SVR passing active power and reactive power of the line are calculated from the rated voltage of the system (for example, 6.6 [kV]).

  Next, in step S2, an SVR output voltage ideal value Vs is obtained such that the minimum value of the voltage margin up to the voltage upper and lower limit values of each node is maximized. This is performed for each time of the target period, and a data set of the ideal output voltage Vs of the SVR and the passing currents Ir and Ix (or P, Q) is created. Here, Vs for each time may be calculated as shown in, for example, Expression (2).

Vs = Vsvr + ΔVsvr
= Vsvr + (VU + VL-Vmax-Vmin) / 2 (2)
Here, VU is a node voltage upper limit value (high voltage conversion), VL is a node voltage lower limit value (high voltage conversion), Vmax is a voltage maximum value for each node, and Vmin is a voltage minimum value for each node.

  Next, in step S3, a relationship between the SVR output voltage ideal value Vs and the current real part and imaginary part (or P, Q) passing through the SVR is obtained by multiple regression analysis. Specifically, the relationship between the ideal SVR output voltage Vs and the SVR passing currents Ir and Ix is defined as shown in Equation (3), and the parameters R, X, and Vref are obtained by multiple regression analysis.

Vs = Vref + R · Ir + X · Ix
= Vref + R · Icosθ + X · Isinθ ………………………… (3)
In the multiple regression analysis, R is calculated as the correlation coefficient between Vs and Ix, X is calculated as the correlation coefficient between Vs and Ix, and Vref is calculated as the offset. A specific calculation method of the multiple regression analysis may be calculated according to an algorithm described in Non-Patent Document 2, for example.

  FIG. 5 is a processing image diagram of the flowchart showing the LDC parameter determination algorithm of FIG. 4 as described above. FIG. 5A shows an image of the measurement value captured in step S1. In this case, the node voltage values are the SVR output voltage Vsvr and the terminal voltages V1 and V2. Further, FIG. 5B shows a calculation result image of the ideal SVR output voltage Vs for a certain time. Here, among Vsvr, V1, and V2, Vsvr is the highest and V2 is the lowest. Here, assuming that the voltage adjustment of SVR is possible continuously (not discretely), Vsvr is set to about ΔVsvr so that the difference between Vsvr and the upper limit voltage and the difference between the voltage lower limit and V2 are equal (SVR In this case, V1 and V2 can also be regarded approximately when ΔVsvr changes in the same manner. The SVR output voltage at this time corresponds to the ideal voltage Vs. By performing this calculation for each time, the Vs for each time is obtained as shown in FIG. With this and Ir and Ix for each time as shown in FIG. 5D, the respective correlations are obtained by multiple regression analysis. An image of the result of the multiple regression analysis is shown in FIG. R is obtained as the slope of the approximate straight line of Vs and Ir (as a correlation coefficient), X is obtained as the slope of the approximate straight line of Vs and Ix (as the correlation coefficient), and Vref is obtained as the Y-axis intercept of the straight line (as an offset). .

  As described above, in the processing flow described with reference to FIGS. 4 and 5, the method of obtaining R, X, and Vref as the LDC parameters has been described. However, when Ap, Aq, and Vref are used as parameters, Ir, By using Psvr and Qsvr instead of Ix, the same is obtained. For example, in step S3, as shown in the latter half of the equation (1), the relationship between the ideal SVR output voltage Vs and the SVR passing currents Psvr and Qsvr is defined, and the parameters Ap, Aq, and Vref are obtained by multiple regression analysis. . In the multiple regression analysis, Ap is calculated as the correlation coefficient between Vs and Psvr, Aq is calculated as the correlation coefficient between Vs and Qsvr, and Vref is calculated as the offset.

  By determining the parameters of the LDC by such an algorithm, it is possible to appropriately set the parameters even in a system in which the power factor changes. In addition, since it is not necessary to perform tidal current calculation or parameter search, the calculation amount is small and the calculation can be performed at high speed. In addition, the parameters are determined in consideration of the system status of multiple sections over the course of the year, week, and 24 hours based on actual measurement data history instead of two sections such as heavy load and light load. It is possible to determine a parameter that enables voltage control in accordance with the parameter.

  Next, an example in which the relationship between the ideal SVR output voltage Vs and the SVR passing currents Psvr and Qsvr is defined and the parameters Ap, Aq, and Vref are obtained by multiple regression analysis will be described.

  FIG. 6 is an example system diagram illustrating a setting parameter determination procedure of the automatic voltage regulator SVR according to another embodiment of the present invention. Here, it is the system | strain structure which supplies electric power to load via a distribution line from SVR. For the measurement data, an LDC parameter is obtained for one day (24 hours).

  FIG. 7 is a data example diagram of the passing effective power, reactive power, and power factor of the SVR in FIG. 6, and the passing effective power Psvr, reactive power Qsvr, and power factor cos θ of the SVR are shown in FIGS. 7 (a) and 7 (b). Show. Within a day, Psvr, Qsvr, and cos θ also change greatly.

  FIG. 8 shows the ideal output voltage Vs and the terminal voltage Vr ′ of the SVR of FIG. It can be seen that Vs is calculated so that the difference between the larger Vs and Vr 'and the upper voltage limit and the difference between the smaller Vs and Vr' and the lower voltage limit are equal at each time.

  The correlation coefficients of Vs and Psvr and Qsvr of FIG. 7 were obtained by multiple regression analysis. As a result, the correlation coefficients Ap, Aq, and Vref were obtained as follows.

Ap = 0.2
Aq = 0.1
Vref = 6543 [V]
13 (a) to 13 (d) show the observed values of the multiple regression analysis (Vs against Psvr, Qsvr: plotted as “ideal value of Vs”) and the predicted values (results of regression equation) based on the multiple regression analysis results. The graph of predicted value: plotted as “predicted value of Vs” is shown. The observed and predicted values are within a certain range, indicating that the analysis results are valid.

  FIG. 9 is a diagram showing a result of determining the SVR voltage according to the equation (1) by setting the parameter shown in FIG. 8 to the SVR LDC. Here, the tap width of SVR is 100V. It can be seen that both the SVR output voltage and the system end voltage are within the voltage upper and lower limits.

  FIG. 10 is a flowchart illustrating an LDC parameter determination algorithm according to another embodiment of the present invention. LDC parameters are determined based on measurement data such as sensor voltage, current, active power, and reactive power in the distribution system, and measurement data corresponding to SVR output voltage Vsvr, SVR passing active power Psvr, and reactive power Qsvr. An example of the procedure to do is shown. Hereinafter, the flow of processing will be described.

  First, in step S1, data necessary for processing is read. The period to be analyzed is determined (for example, the user may specify the past one week, etc.), the SVR output voltage Vsvr for each time of the target period, the current Isvr passing through the SVR, the power factor cos θ, and each measurement point Also reads information such as voltage, active power, reactive power, current, and power factor. Alternatively, measurement data (Psvr, Qsvr) corresponding to SVR passing active power and reactive power may be read instead of the current Isvr passing through the SVR and the power factor cos θ. Based on these data, the state of the system is estimated and the voltage of each node is obtained.

  The state estimation algorithm may be calculated using, for example, the algorithm disclosed in Patent Document 2. Alternatively, the passages P and Q of the SVR may be prorated according to the ratio of the contracted capacity of the load connected to each node, and the voltage value of each node may be obtained from the load data and SVR output voltage data by power flow calculation.

  What is necessary is just to calculate also about the algorithm of a tidal current calculation, for example using the algorithm shown by patent document 2. FIG.

  Further, the real part Ir and the imaginary part Ix of the current are calculated from Isvr, cos θ or Psvr, Qsvr, and the magnitude of the SVR output voltage (for example, 6.6 [kV]).

  Thus, since the voltage of each node was calculated | required, the voltage value of each node is considered as a voltage measurement value. After that, as in FIG. 4, the processing of step 2 and step 3 may be performed.

  By determining the parameters of the LDC by such an algorithm, it is possible to appropriately set the parameters even in a system in which the power factor changes. Moreover, the voltage of each node of the power distribution system can be taken into account by power flow calculation and state estimation calculation, and it is possible to reduce the number of sensors and communication network equipment installed in the power distribution system. In addition, by determining parameters by multiple regression analysis, it is not necessary to perform parameter search, so the amount of calculation such as tidal current calculation required at the time of search is reduced, and the calculation load can be reduced and at high speed. Parameters can be obtained.

  In this way, each parameter of the LDC is calculated by the LDC parameter determination device 10, sent to the LDC 330 of the SVR 300, and set as a setting parameter.

  The LDC parameter determination device 10 may be provided as a function of the control device 310 of the SVR 300. That is, the LDC parameter determination device 10 may be installed in the SVR 300.

  With this configuration, it is possible to calculate LDC parameters with a small number of sensors and a communication network, for example, when a point with the severest voltage is narrowed in advance. In addition, the amount of database to be stored can be reduced.

  The LDC parameters calculated by the LDC parameter determination apparatus 10 can be set in the LDC 330 at any time, but a typical parameter set may be given to the LDC 330 in advance. For example, a parameter for weekdays and a parameter set for holidays may be provided in the two patterns LDC 330, and the parameters may be switched in the LDC 330 depending on the day of the week. Moreover, you may change for every season, and you may change by day and night. Or you may switch for every system | strain structure.

  Hereinafter, a method for obtaining LDC parameters for each season, day of the week, and time zone will be described.

  In the power distribution system, there are provided measuring instruments that continuously measure power factor, active power, reactive power and voltage over 24 hours, and the measurement data as shown in FIGS. Obtained through. From this data, an ideal control value of the secondary voltage of the SVR such as Vs shown in FIG. 8 is obtained. The LDC parameters are determined by multiple regression analysis based on these measurement data and calculated values. Actually, in order to enable voltage control in accordance with the actual situation to determine the parameters in consideration of the system state of multiple cross sections over a period of 24 hours a year, a week, for example, as shown in FIG. It is desirable to determine the LDC parameters for each season, day of the week, and time zone. The example of FIG. 11 is a database example diagram of a parameter set for each season, day of the week, and time zone provided to the LDC 330 according to an embodiment of the present invention, where one year is from November to April (including the winter season), May. (Including Golden Week), June to October (including summer), and the day of the week is divided into weekdays and holidays, and the day is divided into 8 o'clock to 18 o'clock and 18 o'clock to 8 o'clock. Show.

  Next, a procedure for determining LDC parameters in the case of weekdays from 8:00 to 18:00 in the uppermost stage of FIG. 11 will be described. As analysis target data, active power, reactive power, SVR secondary voltage, and system voltage measured value data in the distribution system are prepared from 8:00 to 18:00 on weekdays from November to April. For this data, for example, data from 8:00 to 18:00 is extracted from time series data as shown in FIGS. 7A and 7B, and data arranged in time series for weekdays from November to April are valid. The measured values of power, reactive power, SVR secondary voltage, and voltage at each point in the system may be created and used as measured value data. By performing the processing described above with reference to FIGS. 4, 5, and 10 on this data, the values of R0.21, X0.14, and Vref6500, which are LDC parameters, can be determined.

  By sequentially performing such a procedure, the LDC parameters for the three seasons shown in FIG. 11 can be determined.

  FIG. 12 is a database example diagram of parameter sets for each system configuration according to an embodiment of the present invention. For these parameters, values determined by the LDC parameter determination device 10 may be set as needed, or an operator may set in advance based on the output display of the LDC parameter determination device 10. The LDC 330 is provided with a calendar and timer function, and the LDC parameters may be changed when the corresponding time is reached. The system configuration pattern may be set by the operator as needed in the LDC 330, or may be switched by a remote command from a distribution system monitoring control system such as a distribution automation system.

  By doing so, the SVR can operate properly even when the load status or the system status changes greatly, and the voltage maintenance, the system voltage margin expansion, and the high-efficiency operation become possible. There is.

  Based on the measurement information measurement data of the distribution system, it can be used as a support system for determining the LDC parameters of the SVR and distribution substation LRT installed in the distribution system. Moreover, it can utilize as an automatic settling system which sets the parameter of LDC automatically. It can also be used as a function of an automation system that takes voltage quality into consideration. In addition, it can be used as a high-performance LDC of an SVR or an LDC of a distribution substation.

  DESCRIPTION OF SYMBOLS 10 ... LDC parameter determination apparatus, 11 ... Display apparatus, 12 ... Input means, such as a keyboard and a mouse, 13 ... Computer (CPU), 14 ... Communication means, 15 ... RAM, 21 ... Tidal current calculation data, 22 ... Measurement data, 23 ... Control device setting data, 24 ... SVR ideal voltage data, 25 ... program data, 100 ... distribution system, 110 ... distribution substation, 120 ... node, 130 ... generator, 140 ... distribution line, 150 ... load, 170 ... sensor , 180 ... communication terminal station, 190 ... communication network, 300 ... automatic voltage regulator (SVR), 301 ... autotransformer, 302 ... tap changer, 310 ... control device, 311 ... current sensor, 312 ... voltage sensor, 320 ... Measurement unit of control device.

Claims (13)

A control device for an automatic voltage regulator installed in a power distribution system,
Measurement database for storing the measured value of the electrical quantity at each time of the distribution system,
Wherein based on the measured value of the electrical quantity including an output voltage of said automatic voltage regulator, which is stored in the measurement database, the output voltage ideal value calculating means for calculating an ideal value of the output voltage of said automatic voltage regulator,
Ideal voltage database for storing the ideal value of the voltage output voltage of the automatic regulator of the distribution system obtained by said output voltage ideal value calculating means,
Settling database that stores settling parameters of the automatic voltage regulator, and
Parameter determining means for obtaining the settling parameter of the automatic voltage regulator by performing multiple regression analysis on the correlation between the ideal value of the output voltage of the automatic voltage regulator and the measured value of the electric quantity of the distribution system. A control device for an automatic voltage regulator characterized by the above. The parameter determination means according to claim 1,
Ideal value determining means for determining an output voltage ideal value of the automatic voltage regulator such that it is within the voltage upper and lower limit value range of the analysis target node of the distribution system within the analysis target period;
It is characterized by comprising means for obtaining the settling parameter of the automatic voltage regulator by performing multiple regression analysis on the relationship between the ideal value of the output voltage and the current real part and the current imaginary part passing through the automatic voltage regulator. Control device for automatic voltage regulator. The parameter determination means according to claim 1 or 2,
Ideal value determining means for determining an output voltage ideal value of the automatic voltage regulator such that it is within the voltage upper and lower limit value range of the analysis target node of the distribution system within the analysis target period;
A voltage automatic device comprising means for determining the settling parameter of the automatic voltage regulator by performing multiple regression analysis on the relationship between the ideal value of the output voltage and the active power and reactive power passing through the automatic voltage regulator. Regulator control device. 4. The ideal value determining means according to claim 2 , wherein the ideal value determining means is configured to determine an output voltage ideal value of the automatic voltage regulator so that a minimum value of a voltage margin to a voltage upper and lower limit value of each node is maximized. A control device for an automatic voltage regulator characterized by the above. The control apparatus for an automatic voltage regulator according to any one of claims 1 to 4 , wherein a state estimation or a power flow calculation result is used instead of a measured value of an electric quantity of a distribution system. The voltage according to any one of claims 1 to 4 , wherein the measured value of the electrical quantity of the distribution system is a current passing through the automatic voltage regulator, a current power factor, a terminal voltage, or a voltage of the distribution system node. Control device for automatic regulator. In any one of Claims 1-4 , the measured value of the electric quantity of a distribution system is the electric current real part which passes an automatic voltage regulator, an electric current imaginary part, a terminal voltage, or the voltage of a distribution system node, It is characterized by the above-mentioned. Control device for automatic voltage regulator. The voltage according to any one of claims 1 to 4 , wherein the measured value of the electric quantity of the distribution system is active power, reactive power, terminal voltage, or voltage of the distribution system node that passes through the automatic voltage regulator. Control device for automatic regulator. The control of an automatic voltage regulator according to any one of claims 1 to 8 , wherein the setting parameter of the automatic voltage regulator is configured to be transmitted to a control unit of the automatic voltage regulator via a communication network. apparatus. In any of the claims 1-8, said parameter determining means automatic voltage regulator, the control device of the automatic voltage regulator, characterized in that provided in the control unit of the automatic voltage regulator. In any of claims 1-10, wherein the parameter determining means automatic voltage regulator, characterized seasons, days of the week, further comprising a database having a plurality of different settling parameters by the difference in the time zone, or system configuration Control device for automatic voltage regulator. 12. The control device for an automatic voltage regulator according to claim 11 , further comprising parameter switching means for switching a setting parameter in accordance with a date and time or an external command. A method for controlling an automatic voltage regulator installed in a power distribution system,
Storing the measured value of electricity at each time of the distribution system in the measurement database;
Wherein based on the measured value of the electrical quantity including an output voltage of said automatic voltage regulator, which is stored in the measurement database, the output voltage ideal value calculating step of calculating an ideal value of the output voltage of said automatic voltage regulator,
Storing the ideal value of the voltage output voltage of the automatic regulator calculated the distribution system in the output voltage ideal value calculation step to the ideal voltage database,
Storing the settling parameters of the automatic voltage regulator settling database, and
By multiple regression analysis the correlation between the measured value of the ideal value and the electric quantity of the power distribution system of the output voltage of said automatic voltage regulator, comprising a parameter determination step of determining the settling parameters of the automatic voltage regulator A method for controlling an automatic voltage regulator, comprising:

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