Power system control evaluation device and power system control evaluation method

Abstract

To evaluate system operation, system control, individual operation, operational control, and selective control of a power system by using dynamic ratings, etc., thereby achieving stable and efficient system planning, operation, monitoring, and control in a power system in which reproducible energy sources and distributed energy resources are multiplied.SOLUTION: A power system control evaluation device includes a control selection unit 31 that selects the state of a power system, a condition setting unit 32 that selects a condition using control selection data and set value data, a prior analysis unit 33 that performs prior analysis to acquire prior analysis data by using condition set result data by the condition setting unit, equipment data of the power system, and measurement data of the power system, a prior analysis evaluation unit 34 that obtains evaluation data obtained by evaluating the prior analysis data using the prior analysis data, static rating data of the power system, and dynamic rating data of the power system, and an output unit that outputs at least one of the respective data.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a power system control evaluation device and a power system control evaluation method. [Background technology]

[0002] Conventionally, a technology for monitoring a power system using a power transmission line monitor is known, as described in Patent Document 1. Patent Document 1 describes a technology for dynamically determining a power transmission line rating using a power transmission line monitor in order to make greater use of the transmission capacity of existing power transmission infrastructure. Specifically, the technology describes a technology that not only monitors power lines, but also predicts available capacity based on predicted environmental conditions for a certain period of time in the future in combination with data on environmental conditions such as ambient temperature, wind direction, and wind speed.

[0003] Furthermore, Patent Document 2 describes a technology for reducing the workload of an operator, preventing human error, and maintaining good power quality when controlling the tap of a transformer.Specifically, the technology describes a technology for automatically and continuously switching the tap of a transformer to a target tap by providing a tap switching operation setting means for setting the mode of tap switching operation according to the purpose of the work, and a tap switching control means for automatically switching the tap of the transformer to a target tap based on the mode of the tap switching operation that has been set. Furthermore, Non-Patent Document 1 describes an example of a power system monitoring system that uses a dynamic line rating (DLR) and a predictive DLR. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] US Patent 2014 / 0180616 A1 [Patent Document 2] JP 2012-170227 A [Non-patent literature]

[0005] [Non-Patent Document 1] ELES, “Use of Dynamic Line Rating System in System Operation and Planning”, CIGRE 2020 Paris, C2-143 (2020) Summary of the Invention [Problem to be solved by the invention]

[0006] Conventionally, the operating capacity of each line, route (a bundle of multiple lines), and transformer used in monitoring power systems has been set based on a fixed value (Static Line Rating: SLR) or seasonal value (Seasonal Line Rating: SLR), and system planning, operation, monitoring, and control are carried out so as not to exceed this operating capacity. On the other hand, suitable locations for power sources whose output fluctuates depending on the weather (variable power sources), including renewable energy sources such as solar power generation and wind power generation, are unevenly distributed, and as the introduction of renewable energy continues to expand in the future, there is a possibility that the capacity of transmission and transformation facilities will become insufficient. In addition to renewable energy, the introduction of distributed energy resources (DERs) such as power storage facilities, electric vehicles (EVs), water heaters, and thermal storage facilities may also expand in the future power grid. These distributed resources are expected to provide adjustment power through the storage / discharge of electricity and the storage / release of heat, but they may also cause fluctuations and a shortage of transmission and transformation facility capacity. In response to these issues, it takes a lot of time and money to expand transmission and transformation facilities, so there is a demand for effective use of existing facilities.

[0007] One of the countermeasures is the introduction of variable values ​​(Dynamic Line Rating (DLR), Dynamic Transformer Rating (DTR), and Dynamic Rating (DR)). There are two methods for calculating dynamic line ratings: a direct calculation method that calculates from sensor information installed on the line, and an indirect calculation method that estimates and calculates the ambient temperature from weather data. As shown in Patent Document 1 and Non-Patent Document 1, some systems plan, operate, monitor, and control systems by calculating and using not only fixed values, seasonal values, and current dynamic line ratings, but also predicted values ​​of future dynamic line ratings.

[0008] However, traditionally, planners and operators have used fixed values ​​or seasonal values ​​for system planning, operation, monitoring, and control. Therefore, if dynamically changing variable values ​​are used, the remaining time for which the rated value can be maintained varies depending on the weather, which requires a lot of effort to make decisions about each of the operations of system planning, operation, monitoring, and control, and there is a risk that the work will become complicated. Patent Document 2 discloses a pre-evaluation method for tap control in which an advance simulation is performed when performing transformer tap control to confirm that continuous tap control is possible, that the primary and secondary circuit breakers of the transformer are shut off or the secondary circuit breaker is shut off, and that there is no load current, and if any of the conditions of the advance simulation are not met, an advance simulation error is notified and processing is terminated.

[0009] Conventionally, the various operational capacities used in advance evaluations of such advance simulations have been fixed values ​​or seasonal values, and evaluations have not been performed taking into account fluctuating values. When fluctuating values ​​are used to evaluate system operation, system control, individual operation, operational control, and selective control, even if they are within the rated value range at a certain time, the weather may change at another time and they may go outside the rated value range. In such cases, there is a risk that the stability of the system cannot be maintained or reliability improved.

[0010] The present invention has been made in consideration of the above circumstances, and has an object to provide a power system control evaluation device and a power system control evaluation method that use dynamic ratings, etc. to evaluate system operation, system control, individual operation, operational control, and selective control of a power system in an electric power system with an increased amount of renewable energy and distributed energy resources, and that realizes stable and efficient system planning, operation, monitoring, and control. [Means for solving the problem]

[0011] In order to solve the above problems, for example, the configurations described in the claims are adopted. The present application includes multiple means for solving the above problems. One example is a power system control evaluation device that performs an evaluation when a power system is controlled, and includes a control selection unit that selects a state of the power system, a condition setting unit that selects conditions using control selection data obtained by the control selection unit and set value data, an advance analysis unit that performs advance analysis to obtain advance analysis data using condition setting result data by the condition setting unit, equipment data of the power system, and measurement data of the power system, an advance analysis evaluation unit that obtains evaluation data by evaluating the advance analysis data using the advance analysis data, static rating data of the power system, and dynamic rating data of the power system, and an output unit that outputs at least one of the respective data. Effect of the Invention

[0012] According to the present invention, in a power system with an increased amount of renewable energy and distributed energy resources, system operation of the power system can be evaluated using dynamic rating, etc. Therefore, stable and efficient operation and planning of the power system can be realized. Problems, configurations and effects other than those described above will become apparent from the following description of the embodiments. [Brief description of the drawings]

[0013] [Figure 1] 1 is a diagram illustrating a hardware configuration of a power system control evaluation device according to an embodiment of the present invention and an example of a power system. [Diagram 2]1 is an overall configuration diagram showing an example of a power system control evaluation device according to an embodiment of the present invention; [Diagram 3] 4 is a flowchart showing an example of processing performed by a power system control evaluation device according to an embodiment of the present invention. [Figure 4] FIG. 13 is a diagram showing an example of a power system control evaluation condition setting screen according to an embodiment of the present invention. [Diagram 5] 1A and 1B are diagrams showing examples of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention; [Figure 6] FIG. 1 is a diagram showing a display example (example 1-1) of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention. [Figure 7] FIG. 13 is a diagram showing a display example (example 1-2) of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention. [Figure 8] FIG. 11 is a diagram showing a display example (example 2) of advance analysis result data and advance analysis evaluation result data according to an embodiment of the present invention. [Figure 9] FIG. 3 is a diagram showing a display example (example 3-1) of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention. [Figure 10] FIG. 13 is a diagram showing a display example (example 3-2) of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention. [Figure 11] FIG. 13 is a diagram showing a display example (example 3-3) of prior analysis result data and prior analysis evaluation result data according to an embodiment of the present invention. [Figure 12] FIG. 11 is an overall configuration diagram of an example of a power system control evaluation device according to another embodiment of the present invention. [Figure 13] FIG. 13 is an overall configuration diagram of an example of a power system control evaluation device according to still another embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] A power system control evaluation device and a power system control evaluation method according to an embodiment of the present invention will be described below with reference to Figures 1 to 13. Note that the embodiment described below does not limit the invention according to the claims, and all of the elements and combinations thereof described in the embodiment are not necessarily essential to the solution of the invention.

[0015] [Configuration of power system control evaluation device] In this embodiment, an operator uses a power system control evaluation device 10 shown in Fig. 1 to evaluate in advance the effects of controls implemented in a power system 100 for various purposes, such as improved stability, improved reliability, improved economy, and emergency operation, using SLR (static line rating) and DLR (dynamic line rating). The controls here include system operation, system control, individual operation, operational control, selection control, and selective control. In the following description, the term "control" refers to the implementation of at least one of system operation, system control, individual operation, operational control, selection control, and selective control.

[0016] FIG. 1 is a diagram showing a hardware configuration of a power system control evaluation device 10 connected to a power system. In FIG. 1, a power system control evaluation device 10 is configured, for example, by a computer system. The power system control evaluation device 10 includes a display unit 11, an input unit 12, a communication unit 13, a processor 14, a memory 15, and storage devices (DB10, DB20, DB30). The display unit 11, the input unit 12, the communication unit 13, the processor 14, the memory 15, and the storage devices are connected via a bus 16.

[0017] The display unit 11 is an output unit that outputs processing result data and the like, and displays input data handled by the power system control evaluation device 10 and processing result data in the power system control evaluation device 10. The display unit 11 may be a display device, or a printer device or an audio output device may be used together with the display device. The input unit 12 inputs various conditions for operating the power system control evaluation device 10. The input unit 12 can use a keyboard and a mouse, and may also include at least one of a touch panel or a voice instruction device.

[0018] The communication unit 13 includes a circuit and a communication protocol for connecting to the communication network 300. The communication network 300 may be a WAN (Wide Area Network) such as the Internet, or a LAN (Local Area Network) such as WiFi or Ethernet (registered trademark). The communication network 300 may be a mixture of a WAN and a LAN. The processor 14 executes computer programs, searches for data in various databases stored in the storage device, issues instructions to display processing results, and performs processing related to the calculation of the renewable energy correction factor, predicted frequency, and stabilization control amount of the power system 100. The processor 14 may be a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The processor 14 may be a single-core processor or a multi-core processor.

[0019] Processor 14 may include hardware circuitry (e.g., a Field-Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC)) that performs some or all of the processing. Processor 14 may include a neural network. Processor 14 may also be configured as one or more semiconductor chips, or as a computing device such as a computing server. The memory 15 is configured as, for example, a RAM (Random Access Memory), and stores computer programs and calculation result data, and provides the processor 14 with a work area necessary for each process.

[0020] Each data is temporarily stored in the memory 15 or stored in a storage device. The storage device here is a storage device having a large storage capacity, such as a hard disk drive or a solid state drive (SSD). The storage device can be configured as an input database DB20 and a result database DB30 that hold executable files for various programs and data used in executing the programs. The storage device can also be configured as a program database DB10 that holds programs. The program database DB10 may be software that can be installed in the power system control evaluation device 10, or may be incorporated in the power system control evaluation device 10 as firmware.

[0021] The power system control evaluation device 10 can access measurement information of the power system 100 through a measurement device 101 via a communication network 300. The measurement device 101 may be a communication device for communicating with devices installed in the power system 100. The power system 100 is a system in which a plurality of generators and loads are interconnected via buses (nodes), transformers, and transmission lines (branches). The generators referred to here are, for example, thermal power generators, hydroelectric power generators, pumped-storage power generators, nuclear power generators, and renewable energy power sources. The renewable energy power sources are, for example, power sources that are interconnected to the system via inverters, such as photovoltaic power generators, solar thermal power generators, wind power generators, wind farms, and tidal power generation. The loads and generators also include distributed energy resources such as power storage facilities, EVs, water heaters, and thermal storage facilities. FIG. 1 shows a state in which various generators G, a wind power generator WF, a solar power generator PV, and the like are connected as a power system 100. At the node, various measuring instruments, circuit breakers, switches, disconnecting switches (hereinafter, the word circuit breaker will include switches and disconnecting switches), and phase modifying equipment are installed for protecting, controlling, and monitoring the power system 100. In addition, a storage battery may be connected to each node.

[0022] The power system control evaluation device 10 accesses signals detected by measuring instruments via the communication network 300 as necessary, and acquires one or more of SV (Super Vision) data indicating the on / off states of power transmission and transformation facilities and phase modifying facilities, TM (Telemeter) data indicating active power P, reactive power Q, voltage V, and current I, and the state of each facility. Examples of the state of each facility here include the tap position of a transformer, the control mode of a generator, and the lock state of each device. Then, the power system control evaluation device 10 stores the acquired data in the measurement value data D24 (FIG. 2) of the input data D20. The processor 14 reads the program database DB10 into the memory 15 and executes each calculation by executing the program database DB10.

[0023] The program database DB10 stores a control selection program, a condition setting program, a prior analysis program, a prior analysis evaluation program, and an output program. The processor 14 may distribute the execution of the program database DB10 among a plurality of processors or computers. Alternatively, the processor 14 may instruct a cloud computer or the like to execute all or a part of the program database DB10 via the communication network 300 and receive the execution results. 1 shows an example in which the power system control evaluation device 10 holds the input database DB20, the result database DB30, and the program database DB10, but all or a part of these databases may be held in a cloud server (not shown). The cloud server communicates with the power system control evaluation device 10 via a communication network 300.

[0024] Fig. 2 is a block diagram showing the functional configuration of the power system control evaluation device 10. Note that each processing unit described in the following description is a function that is realized after the processor 14 shown in Fig. 1 reads a program for executing the process and loads the program into a DRAM (Dynamic Random Access Memory). 2, the power system control evaluation device 10 includes input data D20 held in an input database DB20, a calculation unit 41, result data D30 held in a result database DB30, and a display unit 11.

[0025] The input data D20 includes control selection candidate data D21, set value data D22, system equipment data D23, measured value data D24, static line rating data D25, dynamic line rating data D26, weather forecast data D27, and system stabilization device data D28. These data D21 to D28 are stored in databases DB21 to DB28 for the respective data. The calculation unit 41 includes a control selection unit 31, a condition setting unit 32, an advance analysis unit 33, an advance analysis evaluation unit , and a prediction error calculation unit . The result data D30 includes control selection result data D31, condition setting result data D32, advance analysis result data D33, and advance analysis evaluation result data D34. These data D31 to D34 are stored in respective data databases DB31 to DB34.

[0026] The control selection candidate database DB21 stores candidates for control targets. For example, this includes system control, individual operation, operation control, and selection control in various system operations for various purposes such as work stoppage, overload avoidance, voltage adjustment, maintaining and improving reliability, and improving economy, such as turning on and off circuit breakers (CBs) installed on necessary lines and phase modifying equipment, changing tap positions, changing target voltages of control systems for voltage adjustment equipment and generators, paralleling off power sources, and changing target phases of phase adjusters.

[0027] The set value database DB22 stores set values ​​set by the condition setting unit 32, calculation parameters used by the antecedent analysis unit 33, and calculation parameters used by the antecedent analysis evaluation unit . The calculation parameters used in advance analysis unit 33 include specifications necessary for performing state estimation, power flow calculation, simplified power flow calculation using branch ratio and power flow sensitivity, voltage stability calculation processing, and the like. The calculation parameters used by the prior analysis evaluation unit 34 include a threshold value for determining whether or not to output a warning (alarm). The specifications required to perform a voltage stability calculation process include, for example, a slack node for power flow calculation and a convergence determination threshold.

[0028] The system equipment data D23 stores information on the power system configuration, line impedance (R+jX), capacitance to earth (admittance: Y), and power source, as well as information on loads, renewable energy power sources, DERs, transformers, phase modifying equipment, etc. The power system configuration includes, for example, one or more connection relationships between the system busbars, lines, power sources, loads, transformers, and each control device. In addition, the system model data includes information on synchronous machines, renewable energy sources, DERs, and load models that are necessary for numerical analysis of power systems using computers (state estimation, power flow calculations, voltage stability calculations, etc.).

[0029] The measurement value database DB24 stores measurement value data including SV (Super Vision) data indicating the on / off state of the power transmission and transformation equipment, TM (Telemeter) data indicating the active power P, reactive power Q, voltage V, current I, etc., and the state of each facility (e.g., the tap position of a transformer, the control mode of a generator, the lock state of each device, etc.). The TM data may be time-stamped data or PMU (Phasor Measurement Unit) data. The static line rating database DB25 stores fixed values ​​(static line ratings; SLR) and seasonal values ​​(seasonal line ratings; SLR) of each section, line, route, and transformer as static line rating data D25. The static line rating data D25 is calculated from the most severe values ​​of, for example, the past ambient temperatures for each year or month.

[0030] The dynamic line rating database DB26 stores dynamic line rating data obtained by a known method. For the process of obtaining the dynamic line rating data, the methods disclosed in, for example, Patent Document 1 and Non-Patent Document 1 can be applied. Specifically, the dynamic line rating data can be DLR, DTR, or other dynamic line rating data, and it is also possible to obtain the dynamic line rating data as a predicted value using an indirect method rather than a direct method. In addition, although the dynamic line rating data calculated for the line is used here, when the calculation target is not the line but a route, the dynamic rating data calculated for that is used. The static line rating data D25 is also static line rating data calculated for a line, but when the calculation target is not a line but a route, etc., the static rating data is calculated for that. In the following explanation, the dynamic rating data and static rating data are taken as examples of dynamic line rating data and static line rating data.

[0031] The weather forecast data D27 stores future (for example, several days ahead) weather forecast data for each day and each time period in the area where the power system 100 is installed. This weather forecast data is obtained, for example, from a weather forecasting site. The weather forecast data includes weather such as sunny or rainy, as well as data on temperature and humidity. The power system stabilization device data D28 includes data on the power system stabilization devices that the power system 100 includes.

[0032] Each data of the input database DB20 may be obtained in cooperation with a monitoring control device, a central load dispatching center, a SCADA / EMS, a core load dispatching center, a DLR system, or the like, or may be input manually. When each data of the input database DB20 is input manually, it is input by the input unit 12 and stored in each database DB21 to DB28. When inputting from the input unit 12, the processor 14 generates necessary image data and displays it on the display unit 11. When inputting from the input unit 12, the processor 14 may also input semi-manually using a complement function so that a large amount of data can be set.

[0033] A control selection result database DB31 of the result database DB30 stores control selection result data D31 which is the selection result of the control selection section 31. A condition setting result database DB32 of the result database DB30 stores condition setting result data D32 which is the setting result of the condition setting section 32. An antecedent analysis result database DB33 of the result database DB30 stores antecedent analysis result data D33 which is the calculation result of the antecedent analysis section 33. An antecedent analysis evaluation result database DB34 of the result database DB30 stores antecedent analysis evaluation result data D34 which is the calculation result of the antecedent analysis evaluation section 34.

[0034] The control selection unit 31 selects from the control selection candidate data D21 the system control, individual operation, operation control, and selection control in various system operations for various purposes such as work stoppage, overload avoidance, voltage adjustment, maintaining and improving reliability, and improving economy, which include turning on and off circuit breakers (CBs) for necessary lines and phase modifying equipment, changing tap positions, changing target voltages of control systems for voltage regulators and generators, paralleling power sources, and changing target phases of phase adjusters. The target equipment can be selected from a GUI (Graphical User Interface) screen of a single-line diagram (single-line diagram, skeleton) of the power system or a list of control targets of the system. This has the effect of allowing the user to intuitively select the required control target. The selection results in the control selection unit 31 can be confirmed on the display unit 11. The control selection result data D31 is stored in a control selection result database DB31. The control selected control selection result data is passed to a condition setting unit 32. Instead of performing the selection in the control selection unit 31, the control selection result data D31 selected in a selection processing unit of another system may be passed to the condition setting unit 32.

[0035] The condition setting unit 32 allows a planner or operator to set set values ​​for system control, individual operation, operation control, and selection control from the set value data D22. For example, the condition setting unit 32 sets whether to turn on or off circuit breakers (CBs) for lines and phase modifying equipment, the change value for tap position, the change value for target voltage of the control system for voltage regulators and generators, the parallel-off state value of power sources, the change value for the target phase of a phase adjuster, and the like. The condition setting results can be confirmed on the display unit 11. The condition setting result data D32 is stored in a condition setting result database DB32. The condition setting unit 32 also passes the condition setting result data D32 to the advance analysis unit 33.

[0036] The advanced analysis unit 33 performs, for example, a power flow calculation before control under post-control conditions based on the control selection result data D31, the condition selection result data D32, the set value data D22, the system equipment data D23, and the measurement value data D24 to analyze the post-control state of the power system, and outputs the analysis result to the display unit 11. Here, state estimation may be performed before the power flow calculation to improve accuracy. Furthermore, the advanced analysis unit 33 performs a power flow calculation of the state before control in order to evaluate the effect of the advanced analysis in the advanced analysis evaluation unit 34 described later. Here, if the state of the transmission and substation equipment in the pre-control section and the current section is N (i.e., the N state is the current state of the power system), the state before control is N, and the state after control is N+M, NM, or N'. The pre-control section and current section state of N is calculated as reflecting the SV and TM states and the work stoppage plan data. Here, +M indicates a state where a piece of equipment has been added by turning on the circuit breaker (CB), and -M indicates a state where a piece of equipment has been removed by turning off the circuit breaker (CB). N' indicates a state where the equipment's ON / OFF state remains the same, but the control mode, etc. has changed.

[0037] The power flow calculation may be a simplified power flow calculation using power flow sensitivity such as PTDF (Power Transfer Distribution Factor) or OTDF (Outage Transfer Distribution Factor). Here, PTDF indicates the MW change in the power line flow for a 1 MW exchange between a bus and a point or a distribution reference bus. This may also be used when the control is a generator output change. OTDF indicates the MW change in the power line flow after the occurrence of a hypothetical event for a 1 MW exchange between a bus before the hypothetical event and a reference bus, but it can calculate the change when a circuit breaker (CB) on a line is turned OFF.

[0038] Incidentally, the cross sections of the states of N+M, NM, and N' after control are basically calculated based on the cross section of the current N state, but it is also possible to change and specify which cross section to use as the base in the condition setting unit 32. For example, during operation, future cross sections may be based on pinpoint cross sections of 5 minutes ahead, 10 minutes ahead, 30 minutes ahead, 1 hour ahead, etc. In this case, a cross section prediction processing unit and planned values ​​and predicted value data or cross section prediction data as input thereto are required. Furthermore, this future cross section may be set as multiple points to evaluate the impact when the current cross section changes after control, or it may be evaluated across multiple cross sections.

[0039] However, since the number of base cross sections increases, the amount of calculation increases. For example, when speed needs to be emphasized in operation, the selection of a single cross section is set as the initial (default) setting. That is, the display unit 11 initially displays only the state of one cross section, such as the cross section of the current N state. The time point of the one cross section displayed in this initial setting can be changed by an operation by the operator. In addition, the time point of the cross section or the period to be displayed can be changed so that multiple cross sections are displayed by an operation by the operator. This enables evaluation with emphasis on calculation speed. Furthermore, during planning, actual cross sections may be used as base cross sections in addition to future cross sections.

[0040] Basically, a state in which one unit of a system (such as a transmission line) cannot transmit electricity due to a work stoppage or breakdown is called N-1. That is, when one transmission line is composed of multiple sections, if a failure or accident occurs in one section, the transmission line cannot transmit power, resulting in N-1. In addition, if a failure or accident occurs in a substation, power cannot be transmitted from there to the transmission line beyond, resulting in N-1. Expected events are set by assuming such failures and accidents. In addition to failures and accidents, expected events include various events such as power supply dropouts, load dropouts, and renewable energy output fluctuations. These failures and accidents become expected events. In addition, one of two parallel circuits may be lost, resulting in N-1. If one of the two parallel circuits is considered as one unit, and two of the two parallel circuits are lost, it becomes N-2. However, two parallel circuits are called one route, and when looking at the failure on a route basis, if there is some kind of failure in the two parallel circuits, it becomes N-2. The change to the N-1 state here refers to a change due to system control.

[0041] The antecedent analysis result data D33 is stored in an antecedent analysis result database DB33. The antecedent analysis unit 33 also passes the antecedent analysis result data D33 to the antecedent analysis evaluation unit . The advance analysis evaluation unit 34 evaluates the advance analysis result using the advance analysis result data D33, the static line rating data D25, and the dynamic line rating data D26 described above, and outputs the evaluation result to the display unit 11. Here, evaluation means calculating and evaluating the difference between the power flow value, the voltage value, and the current value of the pre-control base cross section and the post-control base cross section, or calculating and evaluating the difference between the post-control base cross section value and the static line rating value or the dynamic line rating value. The power flow value, voltage value, and current value difference here may simply refer to the difference (amount) of the value, or may calculate in addition to the difference, an index such as the frequency, the location where the excess occurred, the amount of the excess being absolutely the largest in either or both space and time, the largest on average, or the largest in frequency. The number of differences that are the basis for these depends on the number of base cross sections specified. This difference refers to one or more of the power system states, such as power flow, current, and voltage.

[0042] In addition, since this dynamic line rating includes a prediction error in the case of a predicted DLR value, it is possible to display the difference from the rating taking into account that error ±σ. In this case, the extent to which the standard deviation σ is to be considered can be set in advance. Also, multiple stages of σ may be prepared. This allows a conservative excess alarm to be issued, and also allows an excess alarm to be issued to avoid a crisis during proactive operation. This has the effect of enabling planners and operators to make evaluations in line with operational guidelines.

[0043] Here, when the dynamic line rating data D26 exceeds the switching threshold of the set value data D22, the prior analysis evaluation unit 34 may switch the operating capacity from the static line rating data D25 to the dynamic line rating data D26. The switching between SLR and DLR can also be performed automatically / semi-automatically / manually. It is also possible to set a dead band to prevent frequent switching. By performing the display in this manner and switching between SLR and DLR, the operator can reduce the effort required to decide to switch to DLR. Moreover, the advanced analysis evaluation unit 34 may evaluate overloads and the like, taking into account the operation of a grid stabilizer. In this case, grid stabilizer data is required, and information such as an overload relay (OLR) is stored. If the advanced analysis result exceeds the threshold of this relay, it is assumed that the overload relay will operate, and the power flow value when the relay operates at that time is recalculated. By displaying the fact that this relay has been executed and its results, planners and operators can evaluate the grid state with even greater accuracy. However, since performing this calculation increases the amount of calculations, this function should be able to be turned on and off. The prior analysis evaluation result data D34 is stored in a prior analysis evaluation result database DB34.

[0044] The prediction error calculation unit 35 calculates the prediction error included in the dynamic line rating, and supplies the calculated prediction error to the advance analysis evaluation unit 34 . The display unit 11 displays various input data, calculation result data, and the contents of each database.

[0045] [Processing performed by the power system control evaluation device] Fig. 3 is a flowchart showing the overall processing performed by the power system control evaluation device 10 of this embodiment. Fig. 3 shows the procedure for performing and outputting control selection, condition setting, advance analysis, and advance analysis evaluation at any timing selected by a planner or an operator. The detailed processing of each step will be described below.

[0046] As shown in Fig. 3, first, the processor 14 reads the control selection candidate data D21 into memory and performs a control selection process (step S30). In the control selection process of step S30, a control selection step is executed in the control selection unit 31, in which a planner or an operator selects a desired control on the screen. Then, the selection result of step S30 is output to the display unit 11. The control selection result data D31 is stored in a control selection result database DB31.

[0047] The control selection result data that was selected in step S30 is passed to the condition setting unit 32, and a condition setting step for setting conditions is executed (step S40). In step S40, the condition setting unit 32 reads the control selection result data D31 and the setting value data D22 selected for control into memory, and performs condition setting processing. In the condition setting processing of step S40, the condition setting unit 32 executes a condition setting step in which a planner or operator selects desired advance analysis conditions on screen. Then, the condition setting results of step S40 are output to the display unit 11. The condition setting result data D32 is stored in a condition setting result database DB32.

[0048] The condition setting result data in which the conditions are set in step S40 is passed to the advance analysis unit 33, and an advance analysis step for carrying out an advance analysis is executed (step S50). In step S50, the advance analysis unit 33 reads the control selection result data D31, the condition selection result data D32, the set value data D22, the system equipment data D23, and the measurement value data D24 into memory, and performs analysis processing under the post-control conditions. In the advance analysis processing in step S50, the advance analysis unit 33 executes an advance analysis step in which advance analysis is performed under the conditions selected and set in steps S30 and S40. Then, the advance analysis result in step S50 is output to the display unit 11. The advance analysis result data D33 is stored in the advance analysis result database DB33. The advance analysis result data obtained in step S50 is transferred to the advance analysis evaluation unit 34, and an advance analysis evaluation step for performing advance analysis evaluation is executed (step S60).

[0049] Here, the control selection process, the condition setting process, and the execution process of the advance analysis will be described with reference to the power system control evaluation condition setting screen of FIG. Fig. 4 shows an example of the display screen 11a of the display unit 11 when a wiring diagram of a power system is displayed, a control object is selected by clicking on any circuit breaker (CB) that is a control object on the system diagram, a control selection process is performed by switching this "on" circuit breaker (CB) to "off" on the control evaluation screen by clicking on it, and then a target cross section is selected and set, condition setting process is completed, and an "execute" button is clicked to execute advance analysis. The locations marked "ON" and "OFF" on the display screen 11a are the installation locations of the circuit breakers (CB), with "ON" indicating "on" and "OFF" indicating "off."

[0050] The control selection area on the control evaluation condition setting screen 11c is made easy to understand by having the area clicked by the operator blink or change color. If the operator wishes to cancel this control selection, the operator can click the "Cancel" button. If the operator wishes to stop the preliminary analysis while it is in progress, the calculation can be stopped by clicking "Interrupt." The analysis can be performed with changed conditions by changing the target cross section, etc., and clicking "Execute" again. It is also possible to change the operational capacity. In this FIG. 4, "Dynamic Rating" is initially set as the operational capacity display 11b, but "Static Rating" or "Seasonal Rating" may also be selected and set.

[0051] In the example of Figure 4, since a circuit breaker is selected, the target value column, which is the voltage target value of the generator's AVR (Automatic Voltage Regulator), is a bar. For example, if you click on the generator symbol, the currently set target value is displayed, but you can change the voltage target value of the generator's AVR by directly entering a numerical value. In addition, although not shown on this screen, you may also be able to change the control mode of AVR or AQR (Automatic reactive power (Q) Regulator). You may also change the tap position, the target voltage of the control system of the voltage regulator, the parallel-off state of the power source, the target phase of the phase regulator, and so on. When changing a circuit breaker from "off" to "on," the control selection is the N+1 state of one device, but you may add a process that allows you to select multiple circuit breakers and change to a state such as N+M, or you may link the selection so that it can be canceled. You may also change the cross section to change to the N' state. This figure shows an example of performing a power flow calculation as a preliminary analysis process. The results of the analysis are displayed in the analysis results column. Here, the line with the most severe power flow after this control is displayed for the dynamic rating of the target cross section. The line is also highlighted in the system diagram. The status of other lines is displayed in detail as a system diagram or list on a separate screen. Note that the example of control selection described with reference to Fig. 4 is just one example, and the selection of the control mode, the target value, the on / off of the circuit breaker, and the control timing may be performed by a different process. At least one of the control mode, the target value, the on / off of the circuit breaker, and the control timing may be selected while the wiring diagram is displayed. Also, as shown in Fig. 4, setting the control amount by the target value and the on / off of the circuit breaker is just one example, and the control amount may be set by other items.

[0052] Returning to the explanation of the flowchart in Fig. 3, in step S60, the prior analysis evaluation unit 34 reads the prior analysis result data D33, the static line rating data D25, and the dynamic line rating data D26 into memory, and performs an evaluation process of the prior analysis result. In the prior analysis evaluation process of step S60, the prior analysis evaluation unit 34 executes a prior analysis evaluation step for evaluating the prior analysis calculated in step S50. Then, the prior analysis evaluation result of step S60 is output to the display unit 11. The prior analysis evaluation result data D34 is stored in the prior analysis evaluation result database DB34. The result data of the prior analysis evaluation performed in step S60 is transferred to the display unit 11, and an output step is executed (step S70).

[0053] Here, the results of the advance analysis process and the advance analysis evaluation will be described with reference to FIG. FIG. 5 is an example of the display on the display unit 11 when the static line rating (SLR) and the dynamic line rating (DLR) are displayed together with the preliminary analysis results and the preliminary analysis evaluation results. In Fig. 5, the maximum operating capacity α1 of the selected line, the static limit α2, the dynamic limit α3, the switching state of SLR and DLR, and the associated operating capacity αa and operating point αb are shown in time series. The horizontal axis of the graph in Fig. 5 is the time, and the vertical axis is the current value of the system. The operational capacity αa shown in FIG. 5 (the thickest solid line in the figure) is limited by the dynamic limit α3, but when the dynamic limit α3 exceeds the maximum operational capacity α1 during operation at the dynamic limit α3, it is limited to the maximum operational capacity α1. In addition, in the example shown in Figure 5, for each section, numerical values ​​(%) β1, β2, β3, β4, and β5 indicating the current value of the line (actual value in the past, predicted value in the future) are displayed on the graph. The display of the numerical value (%) indicating the actual value or the predicted value for each section is performed in the same manner as in the example of Fig. 6 described later. Note that, in addition to the numerical value indicating the actual value or the predicted value, a numerical value taking into account the prediction error may be displayed at the same time as in the example of Fig. 7 described later. In the example display in Figure 5, the sections operated at the static limit are displayed as "Static," and the sections operated at the dynamic limit are displayed as "Dynamic." However, in the example display in Figure 5, all sections are displayed as "Dynamic," which means they are operated at the dynamic limit.

[0054] The operating point αb not only shows the operating point at the current time, but also displays a line showing the actual operating value up to the present (solid line) and the predicted value from the present (dashed line). A switching process may be performed between static and dynamic as shown in Fig. 5. However, DLR may not be implemented on the entire system, and DLR may be available only on specific lines, transformers, or routes, and switching process between SLR and DLR may be performed. Furthermore, the decision to switch between SLR and DLR may be made based on whether to switch for each line, transformer, or route.

[0055] The white circle indicates the result of the advance analysis αc, and shows the line if that analysis result continues as is. This makes it easier to determine whether the value will violate the operational capacity in the subsequent DLR. In the case of Figure 5, at the previous time, the static limit is not violated, but the dynamic limit α3 is equal to or less than the advance analysis result αc, and it is clear that a violation will occur. In this case, a warning is displayed on the display screen indicating when and to what extent the dynamic limit may be violated. This allows operators to evaluate stability based on the predicted DLR state, even with a simple one-point advance analysis.

[0056] Here, the display unit 11 also displays a warning as to how close the current value of the line (the actual value in the past, or the predicted value in the future) is to the dynamic line rating α3 or whether it has exceeded it. In other words, the system is basically operated so that the current does not exceed the dynamic line rating, and a warning is issued if the current approaches or exceeds the dynamic line rating. This has the effect of alerting the operator to the necessary caution.

[0057] When such a warning display is given, in addition to when the maximum operating capacity is exceeded or when the capacity falls below the static limit, the display form such as color may be changed when the capacity approaches the maximum operating capacity or when the capacity approaches the static limit. For example, the warning may be given in a deep red color for the 96% range, which is an area approaching the maximum operating capacity of 100%, and in a yellow color for the range between 90% and less than 95%. In addition to changing the display form, such warnings may be given by various warning processes such as turning on a warning light, outputting some kind of warning sound, or outputting the warning content by voice synthesis.

[0058] In the explanation of Fig. 5 so far, a warning is given when the current value of the line's current flow approaches the dynamic line rating or exceeds it, but it is also possible to judge the situation in which the dynamic line rating changes and predict a situation in which the flow becomes extremely difficult (for example, when the dynamic limit falls below the static limit) or when the maximum operating capacity is exceeded and limited by the maximum operating capacity, and to give a warning. In other words, a warning may be given when an inappropriate situation is predicted based on the dynamic limit and static limit. Moreover, the curves of the various characteristics such as the dynamic limit α3 shown in FIG. 5 may be filtered to suppress sudden changes.

[0059] Figures 6 and 7 are diagrams showing examples (example 1) of displaying the results of advance analysis data and the results of advance analysis evaluation data. By graphically showing the conditions before and after control at a glance, it has the effect of making it easier to grasp changes in condition. Figure 6 is an example of a screen showing the actual value, present value, future value (value after control) and the ratio to the operating capacity at that time. As shown in Figure 7, the severity using past, present, and future DLRs can also be displayed in multiple time increments. Time t is the current state, and in Figure 7, the state is displayed from three units before to three units after time t. The units here can be 1 minute, 10 minutes, 15 minutes, 30 minutes,...1 hour, etc. The increments do not have to be equal intervals. Also, instead of multiple time increments as shown in Figure 7, it can be displayed in a single time increment.

[0060] The display of Figs. 6 and 7 is actually performed in color on the display unit 11, and a gradation display is performed in which the higher the numerical value, the darker the color that warns. For example, a 96% interval is displayed in dark red. On the other hand, an interval less than 50% is displayed in an inconspicuous color such as light green, and an interval between 50% and less than 90% is displayed in dark green. Also, an interval between 90% and less than 95% is displayed in a color that requires attention such as yellow. Displaying in multiple stages such as a gradation display on a color screen is one example, and a monochrome display screen may be used to indicate whether or not a portion requires attention by displaying the background of the displayed portion in multiple stages. Also, instead of changing the display in multiple stages according to the numerical value, only the section with the highest numerical value may be displayed in a manner that is distinguished from other portions, so that the portion requiring attention can be clearly identified. By performing such a display, it is possible to avoid a sudden severe state and improve the operator's predictability. Also, it is easy to understand how severe the state has continued and how long it will continue in the future.

[0061] 6 and 7, the solid waveforms indicate the actual results, the black circles indicate the current time, and the white circles indicate the results of the prior analysis. Although not shown here, the dashed lines may indicate the predicted values ​​from the current time onwards if no control is applied. In Figures 6 and 7, time is shown in increments of one unit, but this increment can be changed arbitrarily by the operator, and the operator may operate a slider (not shown) on the screen to focus on the future. Also, in Figures 6 and 7, the percentage (%) display is used, but the actual ampere value or other numerical value may be displayed, or these numerical values ​​may be combined with the percentage (%) display.

[0062] Here, in order to display the SLR and DLR gradations, the multi-stage monitoring values ​​are pre-stored in the set value data. However, if these values ​​are stored as ampere values, etc., they must be converted to percentages. In particular, the percentages (%) of the DLR values ​​that change from moment to moment and the DLR values ​​that have been selected for control are automatically calculated. Note that, in addition to calculating these values ​​using formulas, a conversion table may be prepared in advance and used to convert the values. This reduces the effort required by operators to set up grid monitoring and control. In other words, operators can recognize the severity of the grid without being aware of changes in operational capacity due to SLR, DLR, etc., and can reduce the effort required for grid monitoring and control.

[0063] The example in Fig. 7 is an example in which the forecast error is further added and displayed. That is, in Fig. 7, the ratio of the error to the operating capacity when an error occurs is additionally displayed. By displaying this, it is possible to perform an evaluation taking into account the forecast error of the operating capacity, which has the effect of further improving predictability and supporting the decision-making of the operator.

[0064] Here, the prediction error may be calculated based on, for example, the prediction error width of the weather prediction data. In cases where the outside temperature or the like changes abruptly, the prediction error width becomes large, and the prediction error of the dynamic line rating decreases. As another method of calculating the prediction error of the dynamic line rating using the indirect method, a method may be used in which the actual past DLR and the predicted DLR value are stored for a certain period of time, and the validity of the predicted DLR at each prediction time is checked from the difference between them, to obtain a distribution of the degree of DLR error that occurs under what weather (prediction). This has the effect of allowing the user to check the validity by themselves by comparing the future DLR value with the most recent DLR value with good accuracy. Basically, the more recent the error, the smaller the prediction error (reliability) will be, so that the prediction error will be larger in the future. In addition, the DLR value of the direct method may be used as the true value to calculate the prediction error.

[0065] Here, the weather forecast data is stored as weather forecast data as one or more predicted values ​​and actual values ​​of the amount of solar radiation, outside temperature, humidity, wind speed, cloud cover, rainfall, snowfall, lightning, and weather for each section. The predicted values ​​and actual values ​​of these weather are numerical values ​​such as respective measured values. However, in the case of lightning, it is the number of occurrences (occurrence amount) and the predicted number of occurrences (predicted amount) in the section. The predicted values ​​and actual values ​​of this weather forecast data are obtained and stored by the weather forecast database from a certain period of the past. In addition, information similar to prediction errors such as standard deviations of 1σ, 2σ, and 3σ is added to the predicted values ​​of these weather forecast data. In addition, the result of predicting the fluctuation range using linear regression or machine learning may be included, or this calculation may be performed by the condition setting unit 32. In addition, the result of calculation for each quantile (each percentile point) using quantile regression may be used. In addition, the result of ensemble prediction may be used. Ensemble prediction is a probabilistic prediction that takes uncertainty into account, in which multiple slightly different numerical predictions are made and the results are statistically processed. This ensemble prediction makes it possible to obtain a base prediction value and a prediction value that takes into account, for example, an ensemble 50% range error (a prediction value of the fluctuation range).

[0066] Here, an example of the calculation result of the prediction error and a method of using the result will be described with reference to FIG. 6 and FIG. Specifically, in the example of FIG. 7, a value predicted as a future predicted value, a higher predicted value taking into account an error, and a lower predicted value are displayed. This has the effect of improving the operator's predictability. When there are few error factors, such as on a fine day, and there is almost no error, the display in FIG. 7 may be eliminated and the display may be automatically or manually switched to the form shown in FIG. 6. In other words, depending on the value of the error, the display may be automatically switched between the display of the actual value, present value, and future value and their ratio to the operating capacity at that time shown in FIG. 6 and the display with the forecast error added shown in FIG. 7. Alternatively, the display in FIG. 6 and the display in FIG. 7 may be manually switched by the operator.

[0067] Conversely, in a situation where the forecast error is very low, such as sunny with occasional clouds, the color of the numerical value may be changed. This makes it possible to more effectively alert the operator. The displays in Figs. 6 and 7 show examples of displaying a fixed period from the past to the future. However, it is also possible to display only specific points on the vertical and horizontal axes shown in Figs. 6 and 7. For example, when it is desired to focus only on ±1 unit from the present (t), the operator can operate the display to change to one unit before the present to one unit after. Alternatively, it is also possible to display any interval, such as one unit after the present. By changing the display in this way, it is possible to display in detail the part that the operator wishes to focus on.

[0068] FIG. 8 is a diagram showing a display example (example 2) of the advance analysis result data and the advance analysis evaluation result data. In this FIG. 8, the vertical axis shows the monitored lines, etc., in list format, and the horizontal axis shows how each line changes from the N state with which control (+XX or -YY). The current ratio to the operational capacity of each line is shown, as well as the actual performance, present, and future (after control). Displaying the list as shown in FIG. 8 allows the operator to understand the severe lines, their state, and the target control at a glance, which has the effect of improving operability. Note that in the example of FIG. 8, as in FIG. 6 and FIG. 7, a gradation display according to the numerical values ​​of SLR and DLR is used.

[0069] Returning to the explanation of FIG. 3, when the prior analysis result data D33 and the prior analysis evaluation result data D34 are stored, the display unit 11 displays the data stored as the result data D30 as an output process (output step) (step S70).

[0070] In the power system control evaluation device of this embodiment, steps S30 to S70 are performed at any timing of the planner / operator, so that the control of the power system can be evaluated and then executed / commanded. Note that, in the flowchart of Fig. 3, the output process of step S70 is performed in the final stage, but the output process (display process) of the data obtained in each step may be reflected in the display at the time when the calculation result is obtained in each step.

[0071] [Another example of displaying the results of a preliminary analysis] Figures 9, 10, and 11 are examples (example 3) of displaying the data of the results of the preliminary analysis and the data of the results of the preliminary analysis. In these examples, the N (base state), N+XX state, and N-YY state in Figure 9 are displayed in separate system diagrams, and the capacity (%) of each point in the system is displayed. For +XX and -YY controls, the selected one is displayed as a basic rule, but candidates may be registered in advance, or the history may be saved. Also, in the case of the on / off operation of a circuit breaker of a substation, line, or transformer, the on / off of a circuit breaker that is close in distance may be displayed as a candidate. In addition, if you want to change the on / off operation of a circuit breaker, you can display a dialog box and change the on / off state by selecting the circuit breaker again on the system diagram or wiring diagram as shown in Figure 4. In this way, by being able to easily change the contents of the control, seamless control study is possible. The system diagrams of each state in Figures 9, 10, and 11 can be switched by selecting the tabs in the upper left. 9, 10, and 11 show the display of the current time t, and by selecting the tabs at the bottom, it is possible to display any time, such as t-2, t-1, t+1, or t+2.

[0072] The example in Figure 9 shows the overload rate of the base power flow. To explain the display example in Figure 10, for example, the numerical values ​​shown in the middle of the system in Figure 10 show, for example, the overload rate of each line, transformer, etc. when N+XX control (operation) is carried out. The most severe points (points with an overload rate of 90% or more) where the overload rate is approaching 100% are displayed in a different manner (display color, etc.) from the overload rates of other points to make them stand out.

[0073] In FIG. 10, the display mode of the background of the numerical values ​​of the 96% and 90% lines is different from other parts. Similarly, the numerical values ​​displayed in the example of FIG. 11 indicate, for example, the overload rate of each line and transformer when the N-YY control (operation) is performed. In the example of FIG. 11, the parts where the overload rate is approaching 100% or exceeding 100% are displayed in a different manner from the overload rates of other parts to make them stand out. The parts where the overload rate is approaching 100% (parts between 90% and 100%) and the parts where the overload rate exceeds 100% may be displayed in different manners so that they can be distinguished from each other. By performing such displays shown in FIG. 10 and FIG. 11, it is possible to grasp which line is the most severe, as in the display example shown in FIG. 9. By displaying the screens shown in Figs. 9, 10, and 11, planners and operators can understand the effects and influences of control at a glance, which is expected to improve operability.

[0074] [Configuration with control command unit] FIG. 12 shows an example of a configuration in which a control command unit 36 ​​is added to the power system control evaluation device 10 of the present embodiment shown in FIG. That is, as shown in FIG. 12, the power system control evaluation device 10 includes, as a calculation unit 41, a control command unit 36 ​​that issues a control command using a control selected and subjected to advance analysis evaluation. The control command unit 36 ​​commands each part of the power system to operate with the selected control amount. Instead of the control command unit 36 ​​outputting a command to each part of the power system (or simultaneously with the process of issuing a command), the control command unit 36 ​​may output the selected control amount to each part of the power system. The control content commanded by the control command unit 36 ​​is displayed on the display unit 11, for example. The control content commanded by the control command unit 36 ​​may be saved in the result data D30.

[0075] The configuration other than the control command unit 36 ​​is the same as that of the power system control evaluation device 10 shown in FIG. In this way, the selected control is analyzed and evaluated in advance, and based on the results, a control command is issued and displayed, enabling highly reliable system control, which can effectively stabilize the system. Also, the operability for the operator can be improved.

[0076] [Configuration with work stoppage planning unit] FIG. 13 shows an example of a configuration in which a work suspension planning unit 37 is added to the power system control evaluation device 10 of the present embodiment shown in FIG. That is, as shown in FIG. 13, the power system control evaluation device 10 includes, as a calculation unit 41, a work suspension planning unit 37 that uses the control-selected advance analysis evaluation result. The work suspension planning unit 37 implements a work suspension plan for each part of the power system. Furthermore, the control (operation) contents planned by the work suspension planning unit 37 are displayed, for example, on the display unit 11. Furthermore, the work suspension contents planned by the work suspension planning unit 37 may be stored in the result data D30.

[0077] The components other than the work stoppage planning unit 37 are basically configured in the same way as the power system control evaluation device 10 shown in FIG. 2, but other information may be included. For example, a work stoppage plan created in another system serving as a base may be stored in a work stoppage plan database DB (not shown), and control (operation) may be selected, changed, and evaluated based on the work stoppage plan. The work stoppage plan data includes each item data of the work stoppage plan formulated for the maintenance of transmission and transformation facilities and protection devices, and the like, and the parallel-off timing of generators. The work stoppage plan data may reflect the latest current state based on the SV data. In addition, detailed data of each item data of the work stoppage plan and the parallel-off timing of generators may be arbitrarily selected, and the data may be displayed based on the work stoppage plan data.

[0078] In this way, the selected control items are analyzed and evaluated in advance while taking DLR into consideration, and the results are used to create and display a work stoppage plan, which enables a reliable and economical work stoppage plan to be created, making it possible to create an effective work stoppage plan. Also, the ease of planning for the planner can be improved.

[0079] [Variations] The embodiments described above have been described in detail to make the present invention easier to understand, and are not necessarily limited to those having all of the configurations described. Furthermore, the configurations and processes described in the above-mentioned embodiments can be modified or changed in various ways. Furthermore, the above-mentioned embodiments do not limit the invention related to the claims, and all of the elements and combinations thereof described in each embodiment are not necessarily essential to the solution of the invention.

[0080] In the above-described embodiment, the output of the calculation results is acquired and displayed on the display unit 11, but a transmission unit (output unit) for transmitting the calculation results to the outside may be provided instead of the display unit 11, and the calculation results may be displayed on an external terminal. The displays of the display unit 11 shown in Figs. 4 to 11 are merely examples, and the present invention is not limited to these display examples. In the above-mentioned embodiment, the advance analysis unit 33 uses the system equipment data and the measurement value data, but the work stoppage plan data may also be used to create a future base section and perform advance analysis. By using the work stoppage plan data, it becomes possible to perform system analysis of a section based on a more actual work stoppage plan. However, for the current section, the SV state and TM value of the measurement value data are set to positive, thereby eliminating the discrepancy between the work stoppage plan and the actual work situation.

[0081] In addition, in the configuration shown in FIG. 1, the power system control evaluation device 10 configured as a computer is configured as a device that performs the processing of the above-mentioned embodiment, but a program implemented in an existing power system control evaluation device may be modified to perform the same processing. In this case, the program may be prepared in the memory within the computer shown in FIG. 2, or may be stored in an external memory, an IC card, an SD card, an optical disk, or other recording medium and transferred. Furthermore, a part or the whole of the power system control evaluation device 10 may be realized by dedicated hardware such as a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). In addition, in the configuration diagrams shown in Figures 1, 2, 12, and 13, only control lines and information lines that are considered necessary for explanation are shown, and not all control lines and information lines are necessarily shown in the product. In reality, it may be considered that almost all components are connected to each other. In addition, in the flowchart shown in Figure 3, the processing order may be changed or multiple processes may be executed simultaneously as long as the processing results are the same. [Explanation of symbols]

[0082] 10...power system control evaluation device, 11...display unit, 11a...display screen, 11b...operation capacity display, 11c...control evaluation condition setting screen, 12...input unit, 13...communication unit, 14...processor, 15...memory, 16...bus, 31...control selection unit, 32...condition setting unit, 33...advance analysis unit, 34...advance analysis evaluation unit, 35...prediction error calculation unit, 36...control command unit, 37...work stoppage planning unit, 41...calculation unit, 100...power system, 101...measuring device, 300...communication network

Claims

1. A power system control evaluation device that evaluates a case where a power system is controlled, A control selection unit for selecting a state of the power system; a condition setting unit that selects a condition using control selection data obtained by the control selection unit and setting value data; a prior analysis unit that performs prior analysis using condition setting result data by the condition setting unit, facility data of the power system, and measurement data of the power system to obtain prior analysis data; an advance analysis evaluation unit that obtains evaluation data by evaluating the advance analysis data using the advance analysis data, static rating data of the power system, and dynamic rating data of the power system; and an output unit that outputs at least one of the data. Power system control evaluation device.

2. The control selection unit is configured to select a control evaluation target by selecting from a single-line diagram, a single-line diagram, a skeleton, a system diagram, or a list of system equipment, and by selecting at least one of a control mode, a controlled variable, a target value, an on / off state of a circuit breaker, and a control timing. The power system control evaluation device according to claim 1 .

3. The condition setting unit is configured to set and select prior analysis conditions for one or more control evaluation targets selected by the control selection unit. The power system control evaluation device according to claim 2 .

4. The output unit displays on a screen the severity of power and / or current for one or more of the dynamic and static ratings in the past, present, and future at a single or multiple time intervals, the state of the power system at a certain point in time, and the state in which at least one control has been implemented from that state. The power system control evaluation device according to claim 1 .

5. The advance analysis evaluation unit calculates a ratio indicating the severity, and displays the calculated ratio indicating the severity on a screen displayed by the output unit. The power system control evaluation device according to claim 4.

6. The output unit displays the severity on a system diagram or in a list format. The power system control evaluation device according to claim 4.

7. The output unit displays the state of the power system at one cross section on the screen as an initial setting, and switches the screen display to the state of the power system at a certain time and a state in which at least one control has been implemented from that state by a subsequent operation. The power system control evaluation device according to claim 4.

8. The evaluation of the advance analysis data by the advance analysis evaluation unit is to calculate one or more differences in power value, voltage value, and current value between the pre-control base cross section and the post-control base cross section. The power system control evaluation device according to claim 1 .

9. Furthermore, the preceding analysis evaluation unit evaluates the calculated value based on at least one of the following indices: frequency of the calculated value, the location where the excess occurred, and whether the amount of the excess is the absolute largest, the average largest, or the frequency largest in either or both of space and time. The power system control evaluation device according to claim 8.

10. Furthermore, a control command unit is provided that outputs a control command for the power system using the control evaluated by the advance analysis evaluation unit. The power system control evaluation device according to claim 1 .

11. Furthermore, a work stoppage planning unit is provided that uses the results of the advance analysis evaluation by the advance analysis evaluation unit to implement a work stoppage plan for each part of the power system. The power system control evaluation device according to claim 1 .

12. The advance analysis unit also uses work stoppage plan data to create a future base cross section and perform advance analysis. The power system control evaluation device according to claim 1 .

13. A power system control evaluation method for monitoring a power system using a computer, The computer includes: a control selection step of selecting a state of the power system; a condition setting step of selecting a condition using the control selection data obtained in the control selection step and setting value data; a prior analysis step of obtaining prior analysis data using condition setting result data obtained by the selection in the condition setting step, facility data of the power system, and measurement data of the power system; an advance analysis evaluation step of evaluating advance analysis data using the advance analysis data, static rating data of the power system, and dynamic rating data of the power system; and an output step of outputting at least one of the data. Power system control evaluation methods.

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