Power system data evaluation device, power system data evaluation method, and power system data evaluation program

Abstract

To solve the problem in which it is difficult to correct errors for all of a large number of facilities due to the labor and cost involved even with differences from the current situation in facility parameters.SOLUTION: A power system data evaluation device has a processing unit and a recording unit. The recording unit maintains environmental state data including measurement values of a plurality of measurement points in the power system, equipment state data including the state of electrical equipment that changes the state of the power current in the power system, and power system configuration data including parameter values of facilities constituting the power system. The processing unit calculates a degree of performance change indicating the degree of change in the performance of the power system with respect to the amount of change in the parameter values of the facilities, calculates a degree of error content indicating the likelihood that the parameter values of the facilities contain errors, and calculates the correction priority, which indicates the priority of correction of the parameter values of the facilities, on the basis of the degree of performance change and the degree of error content.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a technique for evaluating data on a power system, and is suitable for application to, for example, a power system. [Background technology]

[0002] Conventionally, the entire set of facilities that handle everything from the production to consumption of electricity, including power generation facilities, transmission facilities, substation facilities, distribution facilities, and consumer facilities (hereinafter referred to as "power systems"), has been known. Power system monitoring and control systems exist to maintain a high-quality power supply in power systems. Power system operators use power system monitoring and control systems to measure voltage, frequency, power, etc. at specific measurement points in the power system, and monitor and control power system equipment to ensure that voltage, frequency, power flow, etc. remain at predetermined appropriate values ​​in response to fluctuating consumer power consumption. Furthermore, in recent years, there have been attempts to determine control values ​​that provide high satisfaction based on power system analysis such as optimization calculations (optimal power flow calculations).

[0003] To analyze a power system using power system analysis, it is necessary to accurately grasp the state of the power system and the flow of power (power flow). In a power system, the flow of power changes depending on the amount of power consumed, the amount of power generated, and changes in switches such as circuit breakers. To accurately grasp these, the amount of power and the state of equipment are measured and recorded, and the power flow is calculated. However, the measured data contains errors, and techniques have been proposed to reduce the impact of these errors. Japanese Patent Laid-Open Publication No. 2013-74639 (Patent Document 1) discloses a technique for identifying sensors that show anomalous trends, and using more reliable sensors and data instead of the anomalous sensors, thereby estimating the state using data excluding the anomalous sensors. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2013-74639 Summary of the Invention [Problem to be solved by the invention]

[0005] However, while the technology described in Patent Document 1 can correct sensor errors, it is premised on the accuracy of electrical circuit parameters such as the impedance of the power transmission lines that make up the power system, and correcting errors in these parameters has been a challenge. These equipment parameters are first measured through various tests when the equipment is installed, and even if errors from the actual conditions occur due to human error or changes over time, re-measurement requires labor and cost, which creates the problem of making it difficult to correct errors for all of the numerous pieces of equipment.

[0006] The present invention has been made in consideration of the above points, and proposes a power system data evaluation device that enables efficient correction of equipment parameters when there is an error from reality in parameters such as the electrical circuit characteristics of the equipment in a power system control system that determines control values ​​with high satisfaction based on power system analysis. [Means for solving the problem]

[0007] In order to solve the above problem, for example, the present invention employs a configuration as set forth in the claims. For example, one aspect of the present invention is a power system data evaluation device including a processing unit and a recording unit, wherein the recording unit holds environmental state data including measurement values ​​of a plurality of measurement points in the power system, equipment state data including states of electric equipment that change a state of power flow in the power system, and power system configuration data including parameter values ​​of equipment that constitutes the power system, and the processing unit calculates a performance change rate indicating a degree of change in performance of the power system with respect to a fluctuation in a parameter value of the equipment based on the equipment state data and the power system configuration data, calculates an error content rate indicating a likelihood that an error is contained in the parameter value of the equipment based on the environmental state data, the equipment state data, and the power system configuration data, and calculates a correction priority indicating a priority of correction of the parameter value of the equipment based on the performance change rate and the error content rate. [Effects of the Invention]

[0008] According to one aspect of the present invention, in a power system control system that determines control values ​​with high satisfaction based on power system analysis, the need for correction of equipment parameters is determined by using an index based on control performance and parameter estimation error, etc., to provide information on parameters that are likely to improve the performance of the control system, thereby supporting efficient correction of equipment parameters. Problems, configurations, and effects other than those described above will become clear from the description of the following examples. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a block diagram showing a configuration of a power system data evaluation system according to an embodiment of the present invention; [Figure 2] FIG. 2 is an explanatory diagram illustrating an example of environmental state data at a specific measurement point in the power system according to the embodiment of the present invention. [Figure 3] FIG. 2 is an explanatory diagram illustrating an example of device setting data of an electrical device connected to a power system according to an embodiment of the present invention. [Figure 4]FIG. 3 is an explanatory diagram illustrating an example of device status data of an electric device connected to a power system according to an embodiment of the present invention. [Figure 5] FIG. 2 is an explanatory diagram illustrating an example of power system configuration data of a power transmission line in the power system according to the embodiment of the present invention. [Figure 6] 10 is a flowchart illustrating an example of a process performed by a performance change degree calculation unit to calculate a performance change degree in an embodiment of the present invention. [Figure 7] FIG. 2 is an explanatory diagram illustrating an example of performance change degree data held by the data evaluation device according to the embodiment of the present invention. [Figure 8] 10 is a flowchart showing an example of a process in which an error content calculation unit calculates an error content in an embodiment of the present invention. [Figure 9] FIG. 3 is an explanatory diagram showing an example of error content data held by the data evaluation device in the embodiment of the present invention. [Figure 10] FIG. 3 is an explanatory diagram illustrating an example of correction priority data held by the data evaluation device according to the embodiment of the present invention. [Figure 11] FIG. 10 is an explanatory diagram showing an example of a correction priority display screen output by the data evaluation device according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0010] An embodiment of the present invention will now be described in detail with reference to the drawings.

[0011] FIG. 1 is a block diagram showing the configuration of a power system data evaluation system 1 according to an embodiment of the present invention.

[0012] The power system data evaluation system 1 includes a data evaluation device 2 and a power system 3, and the data evaluation device 2 and the power system 3 are connected via a communication network 4 so as to be able to communicate with each other.

[0013] The data evaluation device 2 is a circuit, printed circuit board, server, or information processing device that includes a controller such as a CPU (Central Processing Unit) or a microprocessor, a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), and a communication device. The data evaluation device 2 includes a processing unit 10 that performs various processes, a recording unit 20 that records (stores) various information, an optimum calculation unit 30 that calculates an optimum solution under predetermined conditions, a communication unit 40 that communicates with various devices via a communication network 4, an input unit 50 that inputs various information, and an output unit 60 that outputs various information.

[0014] The processing unit 10 and the optimization calculation unit 30 may be realized by software in which a controller performs processing according to various programs stored in a storage device, or may be realized by hardware such as a circuit. Furthermore, the functions of the processing unit 10 and the optimization calculation unit 30 are not limited to those realized by a single device, but may be realized by multiple devices connected to each other so as to be able to communicate with each other.

[0015] The recording unit 20 is realized by a storage device. The recording unit 20 of this embodiment holds power system state data 201, power system configuration data 202, performance change degree data 203, error content data 204, and correction priority data 205. These will be described in detail later.

[0016] The communication unit 40 is realized by a communication device. The input unit 50 is realized by including at least one of a keyboard, a pointing device such as a mouse, a touch panel, a voice instruction device, etc. The output unit 60 is realized by including at least one of a display device, a printer, a voice output device, etc.

[0017] The data evaluation device 2 can acquire measurement data of the power system 3 from the measuring instruments 5 of the power system 3 via a communication network 4 connected to a communication unit 40 .

[0018] The power system 3 includes power generation facilities (e.g., power plants) that generate electricity using power generation equipment, consumer facilities that consume the electricity generated by the power generation equipment, power distribution facilities (power transmission facilities, substation facilities, distribution facilities, etc.) that transmit the electricity from the power generation facilities to the consumer facilities, and measuring devices 5 that measure the status of these facilities. The power generation facilities are devices that generate electricity using thermal power, hydroelectric power, nuclear power, geothermal power, solar power, wind power, etc., but may also be devices that generate electricity using various other power generation methods. The power distribution facilities include overhead transmission lines, underground transmission lines, transformers, circuit breakers, switches, phase modifying equipment, and bus bars, but may also include various other facilities related to power transmission and distribution.

[0019] The measuring devices 5 represent multiple measuring devices that measure the state at specific measurement points in the power grid 3. Measurement items include power items such as the voltage, phase, and power of the power grid 3, weather items such as temperature, wind speed, wind direction, precipitation, and solar radiation, settings and operating states of the electrical devices 6, and operating states of devices that change the state of power flow, such as power distribution equipment and power generation equipment, and various other items are also possible measurement items. Measurement points include power generation equipment busbars, substation equipment busbars, power distribution equipment, consumer equipment, etc., and one measurement point may have one or more measuring devices.

[0020] The values ​​measured by the measuring device 5 are transmitted to the data evaluation device 2 via the communication network 4. At this time, the measuring device 5 may transmit information on the date and time of measurement together with the measured values. Furthermore, although the following describes a configuration in which the data evaluation device 2 acquires measurement data from the measuring device 5 via the communication network 4, the measurement data may also be stored in the recording unit 20 via a separate, different route rather than via the communication network 4, as long as equivalent measurement data can be acquired.

[0021] The electrical equipment 6 is a device that changes the power flow state of the power system 3, such as a power generation device, a transformer, a circuit breaker, and a phase modifying device, among the devices that make up the power system 3, but may also include various other devices.

[0022] The processing unit 10 of the data evaluation device 2 includes a main processing unit 101 , a power system state acquisition unit 102 , a performance change degree calculation unit 103 , an error content calculation unit 104 , and a correction priority calculation unit 105 .

[0023] The power system status acquisition unit 102 acquires various data transmitted by the measuring equipment 5 periodically (for example, at 5-minute intervals) or when instructed by the processing unit 10 (for example, at a time desired by the user), via the communication unit 40, and records the data in the recording unit 20 as power system status data 201 together with the measurement date and time.

[0024] As shown in FIG. 1, the power system status data 201 includes environmental status data 211 , equipment setting data 212 , and equipment status data 213 .

[0025] The environmental state data 211 includes information such as the active power and reactive power flowing to the load (electrical equipment that consumes power in the power system 3), the active power and reactive power generated by the power generation device, and the temperature at the device installation location.

[0026] FIG. 2 is an explanatory diagram showing an example of environmental state data 211 at a specific measurement point in the power system 3 according to the embodiment of the present invention.

[0027] 2, the environmental condition data 211 includes information such as a serial number D101, measurement date and time D102, temperature D103, active power D104, and reactive power D105. The environmental condition data 211 stores values ​​(measured values) at specific measurement points in chronological order. Note that the measurement date and time D102, temperature D103, active power D104, and reactive power D105 are items related to measurement, and the values ​​of each item are changed as appropriate depending on the measurement at the measurement point.

[0028] The device setting data 212 includes information on the setting state of the electric device 6 .

[0029] FIG. 3 is an explanatory diagram showing an example of the device setting data 212 of the electric device 6 connected to the power system 3 according to the embodiment of the present invention.

[0030] 3, the device setting data 212 includes information such as a serial number D201, a measurement date and time D202, an input amount D203 of the phase modifying equipment R1, an input amount D204 of the phase modifying equipment R2, a tap position D205 of the transformer T1, and a tap position D206 of the transformer T2. The device setting data 212 stores information (setting values) indicating the settings of the electric devices 6 in chronological order. The input amount D203 of the phase modifying equipment R1, the input amount D204 of the phase modifying equipment R2, the tap position D205 of the transformer T1, and the tap position D206 of the transformer T2 are examples of items related to the settings of the electric devices 6, and any combination of items that can be acquired from the measuring device 5 can be used as the information included in the device setting data 212.

[0031] The device state data 213 includes information (operation state information) indicating the operation state of the electric devices 6, such as power distribution facilities and power generation equipment, that change the state of the power flow.

[0032] FIG. 4 is an explanatory diagram showing an example of the device status data 213 of the electric device 6 connected to the power system 3 according to the embodiment of the present invention.

[0033] 4 , the equipment status data 213 includes information such as a serial number D301, a measurement date and time D302, an operation status D303 of the phase modifying equipment R1, an operation status D304 of the phase modifying equipment R2, an operation status D305 of the transformer T1, and an operation status D306 of the transformer T2. The equipment status data 213 stores operation status information of the electrical equipment 6 in chronological order. The operation status D303 of the phase modifying equipment R1, the operation status D304 of the phase modifying equipment R2, the operation status D305 of the transformer T1, and the operation status D306 of the transformer T2 may include items such as the open / closed state of switchgear such as a circuit breaker or a switch, the power transmission status of a power transmission line, etc. The items of the equipment status data 213 may also be a combination of items of the operation status of equipment that changes the power flow state, such as power distribution equipment and power generation equipment, and items of the operation status of other equipment acquired from the measuring equipment 5.

[0034] In this embodiment, the device setting data 212 and the device status data 213 are described separately as above, but the data evaluation device 2 may store these together as information indicating the status of the electrical device 6.

[0035] The power system configuration data 202 is pre-recorded in the recording unit 20. The power system configuration data 202 includes information relating to the configuration of the power system 3.

[0036] FIG. 5 is an explanatory diagram showing an example of the power system configuration data 202 for the power transmission lines in the power system 3 according to the embodiment of the present invention.

[0037] The power system configuration data 202 includes information such as a serial number D401, a name D402, a rated voltage D403, a reference capacitance D404, a line length D405, a resistance D406, and a reactance D407, and is stored for each transmission line. The power system configuration data 202 includes information necessary for analyzing the power system 3, such as the electrical characteristics of the devices that make up the power system 3, operational conditions such as transmission capacity and voltage range, and the electrical connection configuration of the devices, which do not usually change over a short period of time. While FIG. 5 illustrates the case of a transmission line, different items may be provided for other devices.

[0038] FIG. 6 is a flowchart showing an example of a process in which the performance change degree calculation unit 103 calculates the performance change degree in the embodiment of the present invention.

[0039] The performance change degree calculation unit 103 acquires the amount of variation of the equipment parameters from the performance change degree data 203, and generates, for each parameter, power system configuration data 202 in which the corresponding part has been changed according to the specified amount of variation of each parameter (S101). For example, the power system configuration data generated in step S101 may include the power system configuration data 202 shown in Fig. 5 as data before the variation is applied, and may further include data in which the value of each parameter of the power system configuration data 202 has been varied within a specified amount of variation (for example, ±10%, based on a variation amount D505 described later) as data to which the variation has been applied.

[0040] Next, the performance change degree calculation unit 103 provides the power system configuration data generated in step S101 and the power system state data 201 at one or more pre-specified time points to the optimization calculation unit 30, and acquires the performance index value (e.g., transmission loss) of the optimal power system state for all combinations of each system configuration and the system state at the time of provision (S102).

[0041] Finally, the performance change degree calculation unit 103 adds the difference between the performance index value when there is a change in the value of each equipment parameter and the performance index when there is no change in the value of the equipment parameter to the performance change degree data 203 as the performance change degree.

[0042] The performance change degree data 203 includes the relationship between the equipment parameters and the degree of performance change due to control.

[0043] FIG. 7 is an explanatory diagram showing an example of the performance change data 203 held by the data evaluation device 2 in the embodiment of the present invention.

[0044] 7, the performance change data 203 includes, for example, a serial number D501, equipment D502, a parameter D503, a value D504, a variation D505, and a performance change degree D506, and values ​​of these items are stored for each equipment parameter that is the subject of calculation of a correction priority, which will be described later. For the equipment parameter specified by the serial number D501 to the parameter D503, the value is stored as value D504, and the variation used in step S101 is stored as variation D505. The values ​​of the serial number D501 to variation D505 may be set in advance. At the time step S101 of FIG. 6 is executed, the values ​​of the serial number D501 to variation D505 have been stored, but the value of the performance change degree D506 has not yet been stored. The value calculated in steps S102 and S103 is stored as the performance change degree D506.

[0045] The amount of variation D505 may be set to a uniform value, such as 10%, but if a typical value of the amount of variation relative to the amount of error in the parameter is already known, that value may be used.

[0046] The performance change degree D506 may be calculated according to the flowchart shown in FIG. 6. However, if the optimization calculation unit 30 has a function of providing the gradient of each parameter for the objective function in the system state at each time point, the performance change degree calculation unit 103 may calculate the performance change degree by acquiring the gradient of each of the above parameters at a certain time point or multiple time points and averaging the gradients at multiple time points, without generating system configuration data after applying equipment parameter variations in step S101 and providing it to the optimization calculation unit 30 in step S102.

[0047] The performance change rate D506 may be the average value of the absolute values ​​of the performance changes at multiple time points for the same parameter variation in steps S102 and S103, but may also be calculated using a different calculation formula, such as the mean square error. Furthermore, if there is a particularly important time point among the multiple time points, the value of the performance change rate D506 may be calculated using a weighted average in which the important time point is given a large weight.

[0048] FIG. 8 is a flowchart showing an example of a process in which the error content calculation unit 104 calculates the error content in the embodiment of the present invention.

[0049] The error content calculation unit 104 acquires the power system state data 201 and the power system configuration data 202, and performs a state estimation calculation, which is a known technique, to generate corrected measurement data (S201). Next, the error content calculation unit 104 acquires the error content data 204 (S202), and applies the amount of fluctuation of each equipment parameter specified in the error content data 204 to the power system configuration data 202 to perform each state estimation calculation (S203). Finally, the error content is calculated, and the calculated error content is added to the error content D607 of the error content data 204 (S204).

[0050] The error content data 204 includes data necessary to calculate an estimate of whether an error is likely to exist in a parameter.

[0051] FIG. 9 is an explanatory diagram showing an example of the error content data 204 held by the data evaluation device 2 in the embodiment of the present invention.

[0052] The error content data 204 includes, for example, a serial number D601, an equipment name D602, a parameter name D603, parameter variations D604 to D606, and an error content D607, and the values ​​of these items are stored for each equipment parameter that is the subject of calculation of the correction priority, which will be described later. The values ​​of the serial number D601 to the parameter variation D606 may be set in advance. The parameter variation D604 to D606 may be the same value regardless of the parameter, or may be different values ​​for each parameter.

[0053] For example, the parameter variation D604 etc. in the row having the serial number D601 of No. 1 indicates the variation in the resistance value of power line A identified by the equipment name D602 and parameter name D603 in that row. That is, the parameter variation D604, D605, and D606 in the row having the serial number D601 of No. 1 indicate a parameter variation pattern of a 10% decrease, a 10% increase, and a 20% increase in the resistance value of power line A, respectively. Similarly, the parameter variation D604 etc. in the row having the serial number D601 of No. 2 indicates the variation in the reactance of power line A, and the parameter variation D604 etc. in the row having the serial number D601 of No. 3 indicates the variation in the resistance value of power line B.

[0054] For example, the error content calculation unit 104 refers to the row with the serial number D601 No. 1 in the error content data 204, and first calculates the error at each measurement point when the resistance value of power line A is decreased by 10% according to the parameter variation D604 (step S203), and then calculates the error content based on the error (step S204). Next, the error content calculation unit 104 calculates the error at each measurement point when the resistance value of power line A is increased by 10% according to the parameter variation D605 (step S203), and then calculates the error content based on the error (step S204). After the calculation corresponding to the parameter variation No. 1 is completed, the error content calculation unit 104 moves on to the parameter variation No. 2, and the reactance of power line A is varied to perform the same calculation as above. While the example of the error content data 204 shows a case where only a specific parameter varies, the error content calculation unit 104 may also include a pattern in which multiple parameters vary simultaneously.

[0055] In step S204, the error content calculation unit 104 calculates the error content R of a certain parameter fluctuation amount j. e j When calculating, it may be calculated as in the following formula (1), for example.

[0056]

number

[0057] In addition, the error index r e j may be calculated, for example, as in the following formula (2).

[0058]

number

[0059] where u i r is the actual measurement data at measurement point i, and u i e is the measurement data corrected by the state estimation calculations in steps S201 and S203.

[0060] The function f in equation (2) is the error at each measurement point (i.e., u i r -u i e ) is small, the value is small, and the value is large when it is large. For example, a calculation may be performed by multiplying by a coefficient according to the magnitude or importance of the numerical value, or the least square error may be calculated as the error amount.

[0061] Error content R e j In a power transmission monitoring system, state estimation (step S201 in the above example) is usually performed to correct the measurement data. This generates more likely estimated data (i.e., corrected measurement data) from raw data (i.e., actual measurement data) that contains errors. If the estimated data differs from the raw data, it can be assumed that the raw data contains errors.

[0062] There are two possible causes of errors: (A) an error in the measurement sensor due to insufficient calibration, etc., and (B) an error in the electrical parameters of the equipment due to measurement errors or human error, etc. In this embodiment, an attempt is made to detect the occurrence of an error due to the above-mentioned cause (B), but it is not possible to determine which of the above causes the error is due to only the error value calculated by state estimation (= raw data - estimated data). Furthermore, if the error is due to cause (B), it is not possible to determine which parameter error is the cause.

[0063] While errors due to factor (A) above are generally likely to occur regardless of the circuit configuration, errors due to factor (B) will occur constantly unless erroneous parameter values ​​are corrected. If we consider the error due to state estimation calculation = error due to factor (A) + error due to factor (B), we can expect the magnitude of the error to decrease by correcting erroneous parameter values.

[0064] Therefore, in this embodiment, for the equipment for which the error content data 204 is to be calculated, the parameter values ​​are varied according to the parameter fluctuation amounts D604 to D606, etc., and then state estimation is performed for each of them, and the error content is calculated for the obtained estimation results using formula (1).

[0065] R e j The value of is calculated for each parameter variation, and the maximum value is used as the error content. A larger error content indicates a higher possibility that the target parameter value contains an error.

[0066] The value of C in the formula (1) may be a constant such as 1, but the error index calculated by the normal state estimation calculation in step S201 may also be used. e j The formula may be in a different form as long as it becomes smaller as .

[0067] When the error content calculation unit 104 calculates the error content, it is possible to use only data from sensors whose measurement values ​​are likely to satisfy a predetermined standard of reliability, rather than using data from all sensors (measuring instruments 5). For example, if it is known that the reliability of the measurement value of any sensor is lower than a predetermined standard, the measurement value data of that sensor may be excluded from the calculation of the error content.

[0068] Alternatively, sensors with low measurement reliability may be estimated based on the following criteria, and their measurement data may be excluded from the error content calculation. For example, when measuring the power flowing at both ends of a power transmission line, the reliability of the measurement value of a sensor whose measurement values ​​differ greatly can be considered low. When measuring the power flowing on two parallel power transmission lines with the same characteristics, the reliability of the measurement value of a sensor whose measurement values ​​differ greatly can be considered low. When measuring voltage on the same bus using multiple sensors, the reliability of the measurement value of a sensor whose measurement values ​​differ greatly can be considered low. When a sensor's value remains constant regardless of time, the reliability of the measurement value of that sensor can be considered low.

[0069] The correction priority data 205 includes the degree of satisfaction of control based on the system analysis of the power system, or the priority of correction of equipment parameters based on performance.

[0070] FIG. 10 is an explanatory diagram showing an example of the correction priority data 205 held by the data evaluation device 2 in the embodiment of the present invention.

[0071] The correction priority data 205 includes, for example, a serial number D701, an equipment name D702, a parameter name D703, a performance variation coefficient D704, an error content coefficient D705, a correction priority D706, a correction cost D707, a correction cost coefficient D708, and a correction priority for each piece of equipment D709. The correction priority D706 and the correction priority for each piece of equipment D709 are data items stored by the correction priority calculation unit 105, and the others may be data items stored in advance. A method for calculating the correction priority Aj stored in the correction priority for each piece of equipment D709 will be described later. The serial number D701 to the parameter name D703 may specify an equipment parameter for which the correction priority is to be calculated, and the performance variation coefficient D704 to the correction priority D706 of the specified equipment parameter may be stored, respectively. Furthermore, an equipment may be specified by the serial number D701 and the equipment name D702, and the correction cost D707 to the correction priority for each piece of equipment D709 corresponding to the specified equipment may be stored. Furthermore, the corrected cost D707 and the corrected cost coefficient D708 may be stored as individual equipment parameters.

[0072] The correction priority calculation unit 105 calculates, for example, correction priority A j may be calculated as follows:

[0073]

number

[0074] where W j p is the performance change coefficient, W j e is the error content coefficient, pj is the degree of performance change, R e j is the error content. However, other calculation formulas may be used in which an increase in the performance change coefficient and the error content coefficient results in an increase in the correction priority. In this way, by calculating a high correction priority for equipment parameters that are significantly related to performance and are likely to actually cause errors, it is possible to present parameters that are more effective in implementing correction.

[0075] Furthermore, a calculation formula may be used in which the product of the inverse of the correction cost and the correction cost coefficient is further added so that the higher the correction cost, the lower the correction priority becomes. By taking into account the cost in addition to the effect of correction, it is possible to present more cost-effective equipment parameters.

[0076] Furthermore, in cases where there are multiple parameters in the same equipment and the correction of the parameters and the cost burden are collectively borne by the equipment, it is possible to present parameter correction targets with even higher cost-effectiveness by calculating the maximum value or integrated value of the correction priority of each parameter as the correction priority for each equipment.

[0077] Next, the calculation by the optimization calculation unit 30 will be described. The optimization calculation unit 30 calculates the state of the power system 3 that is optimal for a given objective, such as reducing power loss or improving voltage stability. The optimization calculation unit 30 determines the variables of the power system 3 so as to improve an index representing the objective. For example, the optimization calculation unit 30 provides an objective function that expresses power loss reduction, and calculates a combination of variables that minimizes or maximizes the objective function from among combinations of variables that satisfy the constraints of the power flow equation of the power system 3 and other equality and inequality constraints, such as voltage range and whether or not equipment control is possible. Examples of variables that are used include the voltage of each bus, the input amount of phase modifying equipment, and the tap position of a transformer.

[0078] The calculations of the optimization calculation unit 30 can be performed using known techniques such as optimal power flow calculation, but any other method may be used as long as it is a method for calculating the optimal state of the power system 3 for the desired purpose. The optimization calculation unit 30 can provide index values ​​when the calculated variables are applied. The optimization calculation unit 30 may also be capable of calculating and providing the gradient of the equipment parameters of the objective function.

[0079] The processing unit 10 and the optimum calculation unit 30 may be realized by independent hardware (for example, a dedicated logic circuit) or by the same hardware. In the latter case, for example, one or more processors constituting the data evaluation device 2 may execute programs for realizing the main processing unit 101, the power system state acquisition unit 102, the performance change degree calculation unit 103, the error content calculation unit 104, the correction priority calculation unit 105, and the optimum calculation unit 30, thereby realizing the functions of each of these units.

[0080] FIG. 11 is an explanatory diagram showing an example of a correction priority display screen output by the data evaluation device 2 in the embodiment of the present invention.

[0081] The correction priority display screen 1100 is called from a menu screen (not shown) and displays the contents of the correction priority data 205. The contents of the correction priority data 205 displayed on the correction priority display screen 1100 are the same as those described in FIG. 10, and therefore detailed description will be omitted. The correction priority display screen may display part of the correction priority data 205, or may also display data not included in the correction priority data 205. The correction priority display screen 1100 may include a [Change] button (not shown) that allows the user to change part of the correction priority data 205, and a [Back] button (not shown) that closes the screen and returns to the menu screen from which it was called.

[0082] According to the above-described embodiment, in a power system control system that determines control values ​​with high satisfaction based on power system analysis such as optimization calculation, it is possible to support efficient correction of equipment parameters by providing information on parameters that are likely to improve the performance of the control system using indices based on control performance, parameter estimation errors, correction costs, etc. regarding the need for equipment parameter correction.

[0083] Furthermore, the system according to the embodiment of the present invention may be configured as follows.

[0084] (1) A power system data evaluation device (e.g., data evaluation device 2) includes a processing unit (e.g., at least one of processing unit 10 and optimal calculation unit 30) and a recording unit (e.g., recording unit 20). The recording unit holds environmental state data (e.g., environmental state data 211) including measurement values ​​of a plurality of measurement points in the power system, equipment state data (e.g., at least one of equipment setting data 212 and equipment state data 213) including the state of an electric device that changes the state of the power flow in the power system, and power system configuration data (e.g., power system configuration data 202) including parameter values ​​of equipment that constitutes the power system. The processing unit Based on the equipment status data and power system configuration data, a performance change degree indicating the degree of change in the performance of the power system relative to the amount of fluctuation in the parameter value of the equipment is calculated (for example, processing by the performance change degree calculation unit 103, steps S101 to S103), and based on the environmental status data, equipment status data and power system configuration data, an error content degree indicating the likelihood that the parameter value of the equipment contains an error is calculated (for example, processing by the error content degree calculation unit 104, steps S201 to S203), and based on the performance change degree and the error content degree, a correction priority indicating the priority of correction of the parameter value of the equipment is calculated (for example, processing by the correction priority calculation unit 105).

[0085] This can assist in efficient correction of equipment parameters.

[0086] (2) In the above (1), the processing unit calculates the error content based on estimated values ​​of errors in the measured values ​​at a plurality of measurement points.

[0087] This allows the equipment parameters containing errors to be properly estimated.

[0088] (3) In the above (2), the recording unit holds a plurality of patterns of fluctuations in the parameter values ​​of the equipment (for example, parameter fluctuations D604 to D606 of the error content data 204), and the processing unit corrects the errors in the measurement values ​​of each measurement point by performing a state estimation calculation based on the environmental state data, the equipment state data, and the power system configuration data (for example, step S201), corrects the errors in the measurement values ​​of each measurement point corresponding to each pattern by performing a state estimation calculation when the parameter values ​​of the equipment are varied based on the fluctuations of each pattern (for example, steps S202 and S203), and calculates the error content based on the corrected measurement values ​​of each measurement point (for example, step S204, formulas (1) and (2)).

[0089] This allows the equipment parameters containing errors to be properly estimated.

[0090] (4) In (3) above, the processing unit calculates the degree of error based on the corrected measurement value of each measurement point so that the smaller the error in the measurement value of each measurement point, the larger the degree of error (e.g., formulas (1) and (2), paragraph

[0066] ).

[0091] This allows the equipment parameters containing errors to be properly estimated.

[0092] (5) In (2) above, the processing unit excludes from the calculation of the error content any measurement value obtained by a measuring instrument that is estimated to have low reliability based on a predetermined standard, among the measurement values ​​obtained at a plurality of measurement locations.

[0093] This makes it possible to improve the accuracy of estimation of equipment parameters that contain errors.

[0094] (6) In the above (1), the processing unit calculates the performance change degree by calculating the performance index value of the power system when the parameter value of the equipment changes through the optimal power flow calculation of the power system (for example, processing of the performance change degree calculation unit 103, steps S101 to S103).

[0095] This allows for an appropriate estimation of the magnitude of the effect that a change in parameter value has on performance.

[0096] (7) In the above (1), the processing unit calculates the degree of performance change based on the gradient of the objective function corresponding to the performance index value of the power system obtained by the optimal power flow calculation of the power system with respect to the parameter value of the equipment.

[0097] This allows for an appropriate estimation of the magnitude of the effect that a change in parameter value has on performance.

[0098] (8) In the above (1), the processing unit calculates a weighted sum in which a predetermined weighting factor is applied to each of the performance change degree and the error content degree as the correction priority (for example, equation (3)).

[0099] This allows the system to appropriately calculate the priority for correcting the values ​​of equipment parameters by taking into account both the likelihood that the equipment parameters contain errors and the extent to which the errors will affect the performance of the power system, thereby supporting efficient correction of the values ​​of equipment parameters.

[0100] The present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail to facilitate a better understanding of the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0101] Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in storage devices such as nonvolatile semiconductor memory, hard disk drives, and solid-state drives (SSDs), or in computer-readable, non-transitory data storage media such as IC cards, SD cards, and DVDs.

[0102] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and not all control lines and information lines in the product are necessarily shown. In reality, it can be considered that almost all components are interconnected. [Explanation of symbols]

[0103] 1. Power system data evaluation system 2 Data evaluation device 3 Power system 4. Communication Network 5. Measuring equipment 6. Electrical Equipment 10 Control Unit 20 Recording Section 30 Optimal Calculation Unit 40 Communications Department 50 Input section 60 Display section

Claims

1. A power system data evaluation device, comprising: A processing unit and a recording unit, the recording unit holds environmental state data including measurement values ​​of a plurality of measurement points in the power system, equipment state data including states of electrical equipment that change the state of power flow in the power system, and power system configuration data including parameter values ​​of equipment that constitutes the power system; The processing unit calculating a performance change degree indicating a degree of change in performance of the power system relative to a fluctuation amount of a parameter value of the facility based on the equipment status data and the power system configuration data; calculating an error content indicating a likelihood that an error is included in the parameter value of the facility based on the environmental state data, the equipment state data, and the power system configuration data; A power system data evaluation device, comprising: a power system data evaluation unit that calculates a correction priority indicating a priority for correcting parameter values ​​of the equipment based on the performance change degree and the error content degree.

2. 2. The power system data evaluation device according to claim 1, The power system data evaluation device is characterized in that the processing unit calculates the error content based on estimated values ​​of errors in measured values ​​at a plurality of measurement points.

3. 3. The power system data evaluation device according to claim 2, The recording unit holds a plurality of patterns of fluctuation amounts of the parameter values ​​of the equipment, The processing unit performing a state estimation calculation based on the environmental state data, the equipment state data, and the power system configuration data to correct errors in the measurement values ​​at the respective measurement points; performing a state estimation calculation when a parameter value of the equipment is varied based on the variation amount of each of the patterns, thereby correcting an error in the measurement value of each of the measurement points corresponding to each of the patterns; The power system data evaluation device is characterized in that the error content is calculated based on the corrected measurement values ​​of each measurement point.

4. 4. The power system data evaluation device according to claim 3, the processing unit calculates the error content based on the corrected measurement values ​​of each measurement point such that the smaller the error in the measurement values ​​of each measurement point, the larger the error content.

5. 3. The power system data evaluation device according to claim 2, The power system data evaluation device is characterized in that the processing unit excludes, from among the measurement values ​​of the plurality of measurement locations, measurement values ​​obtained by measuring instruments that are estimated to have low reliability based on a predetermined criterion, from the calculation of the error content.

6. 2. The power system data evaluation device according to claim 1, the processing unit calculates the degree of performance change by calculating a performance index value of the power system when a parameter value of the facility fluctuates through an optimal power flow calculation of the power system.

7. 2. The power system data evaluation device according to claim 1, the processing unit calculates the performance change degree based on a gradient of an objective function corresponding to a performance index value of the power system obtained by an optimal power flow calculation of the power system, with respect to a parameter value of the equipment.

8. 2. The power system data evaluation device according to claim 1, The power system data evaluation device is characterized in that the processing unit calculates, as the correction priority, a weighted sum in which a predetermined weighting coefficient is applied to each of the performance change degree and the error content degree.

9. A power system data evaluation method executed by a power system data evaluation device, comprising: The power system data evaluation device includes a processing unit and a recording unit, the recording unit holds environmental state data including measurement values ​​of a plurality of measurement points in the power system, equipment state data including states of electrical equipment that change the state of power flow in the power system, and power system configuration data including parameter values ​​of equipment that constitutes the power system; The power system data evaluation method includes: a step in which the processing unit calculates a performance change degree indicating a degree of change in performance of the power system with respect to a fluctuation amount of a parameter value of the facility based on the equipment status data and the power system configuration data; a step in which the processing unit calculates an error content indicating a likelihood that an error is included in the parameter value of the facility based on the environmental state data, the equipment state data, and the power system configuration data; and a procedure in which the processing unit calculates a correction priority indicating a priority for correcting the parameter value of the facility based on the performance change degree and the error content degree.

10. A power system data evaluation program to be executed by a power system data evaluation device, The power system data evaluation device includes a processing unit and a recording unit, the recording unit holds environmental state data including measurement values ​​of a plurality of measurement points in the power system, equipment state data including states of electrical equipment that change the state of power flow in the power system, and power system configuration data including parameter values ​​of equipment that constitutes the power system; The power system data evaluation program includes: a step of calculating a performance change rate indicating a degree of change in performance of the power system relative to a fluctuation amount of a parameter value of the facility based on the equipment status data and the power system configuration data; a step of calculating an error content indicating a likelihood that an error is included in the parameter value of the facility based on the environmental state data, the equipment state data, and the power system configuration data; and a procedure for calculating a correction priority indicating a priority for correcting the parameter value of the equipment based on the performance change degree and the error content degree.

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