Parameter matching method and system for power grid regulation device

Abstract

The present invention provides a parameter matching method and system for a power grid regulating device. The method includes: step one: obtaining a target network model and operating data of the target network model within a preset time range; step two: initializing simulation parameters of a target regulating device; step three: simulating a target network model loaded with current simulation parameters according to an automatic voltage control algorithm, obtaining operating data corresponding to the target network model under the current simulation parameters, and judging whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters; step four: if not, adjusting the simulation parameters of the target regulating device, and jumping to step three until the current simulation parameters match the original operating data, and outputting the current simulation parameters. The present invention can determine the simulation parameters of the regulating device that match the operating environment, so that the capacity and reactive regulation rate of the reactive compensation device and the energy storage device match the operating environment.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power planning, and in particular to a parameter matching method and system for a power grid regulating device. Background Art

[0002] In order to reduce energy waste, power stations are usually equipped with energy storage devices, which can output active power and reactive power at the same time through inverters, and work with reactive power compensation devices to adjust the operating status of the power grid. The reactive power compensation capacity and the capacity of the energy storage device, the reactive power adjustment rate of the reactive power compensation device, and the reactive power adjustment rate of the energy storage device are matched with the operating environment, which can achieve fast and accurate adjustment of reactive power and optimize the local and grid-connected point voltage to the greatest extent.

[0003] At present, there is no technology that can ensure that the reactive power compensation capacity, the capacity of the energy storage device, the reactive power regulation rate of the reactive power compensation device, and the reactive power regulation rate of the energy storage device all match the operating environment. Summary of the invention

[0004] The present invention provides a parameter matching method and system for a power grid regulation device, so as to solve the problem that the capacity and reactive power regulation rate of the power grid regulation device are difficult to match with the operating environment at the same time.

[0005] In a first aspect, the present invention provides a parameter matching method for a power grid regulation device, comprising:

[0006] Step 1: obtaining a target network model and operating data of the target network model within a preset time range as original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulating device, and the target regulating device includes a reactive power compensation device and an energy storage device; the operating data includes load temporal and spatial distribution data;

[0007] Step 2: Initialize simulation parameters of the target regulating device;

[0008] Step 3: Simulate the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm to obtain the operating data corresponding to the target network model under the current simulation parameters, and determine whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters;

[0009] Step 4: If there is no match, adjust the simulation parameters of the target adjustment device and jump to step 3 until the current simulation parameters match the original operation data and output the current simulation parameters.

[0010] In a possible implementation, the simulation parameters include a reactive compensation device capacity threshold and an energy storage device capacity threshold;

[0011] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0012] If any bus voltage exceeds the limit in the original operation data, and when the capacities of all reactive compensation devices are adjusted to the reactive compensation capacity threshold and the capacities of all energy storage devices are adjusted to the energy storage device capacity threshold, the bus voltage still exceeds the limit, then it is determined that the current simulation parameters do not match the original operation data;

[0013] Adjust the simulation parameters of the target adjustment device, including:

[0014] The capacity thresholds of all reactive compensation devices and energy storage devices are adjusted to increase the sum of all capacity thresholds.

[0015] In a possible implementation, the simulation parameters include a reactive compensation device capacity threshold, an energy storage device capacity threshold, a reactive regulation rate threshold of the reactive compensation device, and a reactive regulation rate threshold of the energy storage device;

[0016] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0017] If there is any bus voltage over-limit in the original operation data, and when the capacity of all reactive compensation devices is adjusted to the reactive compensation capacity threshold, the capacity of all energy storage devices is adjusted to the energy storage device capacity threshold, the reactive regulation rates of all reactive compensation devices are adjusted to the corresponding reactive regulation rate threshold, and the reactive regulation rates of all energy storage devices are adjusted to the corresponding reactive regulation rate threshold, the time taken for the bus voltage to go from over-limit to not over-limit is greater than the preset time threshold, it is determined that the current simulation parameters do not match the original operation data;

[0018] Adjust the simulation parameters of the target adjustment device, including:

[0019] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to increase the sum of all reactive regulation rate thresholds.

[0020] In a possible implementation, the operation data includes a voltage regulation command; the simulation parameters include a reactive regulation rate threshold of a reactive compensation device and a reactive regulation rate threshold of an energy storage device;

[0021] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0022] If any bus voltage exceeds the limit in the original operation data, if the time taken for the bus voltage to change from exceeding the limit to not exceeding the limit is monitored to be no greater than the preset time threshold in the operation data corresponding to the current simulation parameter, and there is an opposite voltage adjustment command, then it is determined that the current simulation parameter does not match the original operation data;

[0023] Adjust the simulation parameters of the target adjustment device, including:

[0024] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to reduce the sum of all reactive regulation rate thresholds.

[0025] In a possible implementation, the preset time range is the planned annual time;

[0026] Obtaining the target network model includes:

[0027] Obtaining the preset range, preset time range and newly added device information within the preset time range of the energy internet;

[0028] Obtain the topological structure corresponding to the energy Internet within a preset range in the database;

[0029] The topology structure is updated based on the newly added device information to obtain the target network model.

[0030] In a possible implementation, the preset time range is a time range of a historical period;

[0031] Obtaining the operating data of the target network model within a preset time range as the original operating data includes:

[0032] Obtaining the temporal and spatial distribution data of the load of the target network model within a preset time range;

[0033] Perform state estimation on the load spatiotemporal distribution data to obtain the original operation data.

[0034] In a possible implementation, the preset time range is the planned annual time;

[0035] Obtaining the operating data of the target network model within a preset time range as the original operating data includes:

[0036] The machine learning algorithm is used to predict the load spatiotemporal distribution data in the annual load period and the daily load period for each planning year within the preset time range to obtain the original operation data.

[0037] In a possible implementation, a target network model loaded with current simulation parameters is simulated according to an automatic voltage control algorithm to obtain operating data corresponding to the target network model under the current simulation parameters, including:

[0038] Initialize the simulated working condition of the target regulating device; the simulated working condition includes the input compensation capacity of each reactive compensation device and energy storage device;

[0039] According to the automatic voltage control algorithm, the target network model loaded with the current simulation parameters is simulated under the current simulation working condition to obtain the operation data corresponding to the current simulation working condition;

[0040] If the bus voltage exceeds the limit in the operating data corresponding to the current simulation condition, the compensation capacity of each reactive compensation device and / or energy storage device is increased, and the process jumps to the step of "simulating the target network model loaded with the current simulation parameters under the current simulation condition according to the automatic voltage control algorithm to obtain the operating data corresponding to the current simulation condition" until the compensation capacity of each reactive compensation device is adjusted to the reactive compensation device capacity threshold, and the compensation capacity of each energy storage device is adjusted to the energy storage device capacity threshold, and the operating data corresponding to the current simulation condition is used as the operating data corresponding to the target network model under the current simulation parameters.

[0041] In a second aspect, the present invention provides a parameter matching system for a power grid regulation device, comprising:

[0042] An acquisition module is used to acquire a target network model and operating data of the target network model within a preset time range as original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulating device, the target regulating device includes a reactive power compensation device and an energy storage device; the operating data includes load temporal and spatial distribution data;

[0043] An initialization module, used for initializing simulation parameters of a target regulating device;

[0044] A simulation module is used to simulate the target network model loaded with current simulation parameters according to the automatic voltage control algorithm, obtain the operation data corresponding to the target network model under the current simulation parameters, and judge whether the current simulation parameters match the original operation data based on the operation data corresponding to the current simulation parameters;

[0045] The adjustment module is used to adjust the simulation parameters of the target adjustment device when there is a mismatch, and jump to the simulation module until the current simulation parameters match the original operation data, and output the current simulation parameters.

[0046] In a third aspect, the present invention provides a terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the parameter matching method of a power grid regulation device as shown in the first aspect or any possible implementation method of the first aspect are implemented.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the parameter matching method of the power grid regulation device as shown in the first aspect or any possible implementation method of the first aspect.

[0048] The present invention provides a parameter matching method and system for a power grid regulating device, the method comprising: step one: obtaining a target network model and operating data of the target network model within a preset time range as original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet comprises at least one target regulating device, the target regulating device comprises a reactive compensation device and an energy storage device; the operating data comprises load spatiotemporal distribution data; step two: initializing simulation parameters of the target regulating device; step three: simulating the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtaining the operating data corresponding to the target network model under the current simulation parameters, and judging whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters; step four: if not matching, adjusting the simulation parameters of the target regulating device, and jumping to step three until the current simulation parameters match the original operating data, and outputting the current simulation parameters. The present invention can determine the simulation parameters of the regulating device matching the operating environment, so that the capacity and reactive regulation rate of the reactive compensation device and the energy storage device are both matched with the operating environment, and the operating state of the target network is optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0050] Figure 1 is a flow chart for implementing a parameter matching method of a power grid regulation device provided by an embodiment of the present invention;

[0051] Figure 2 is a connection relationship diagram of the energy internet in an embodiment of the present invention;

[0052] Figure 3 is a structural schematic diagram of a parameter matching system of a power grid regulation device provided by an embodiment of the present invention;

[0053] Figure 4 is a schematic diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0055] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0056] See also Figure 1 , which shows a flow chart of the implementation of the parameter matching method of the power grid regulation device provided by an embodiment of the present invention, which is described in detail as follows:

[0057] Step 101, obtaining a target network model and operating data of the target network model within a preset time range as original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulation device, and the target regulation device includes a reactive compensation device and an energy storage device; the operating data includes load temporal and spatial distribution data.

[0058] In this embodiment, the user can set or modify the actual energy Internet scope and topology that needs to be analyzed, select the time range of the energy Internet that needs to be analyzed, and select the automatic voltage control algorithm.

[0059] Among them, when setting the scope of the energy Internet, users can set the area within the actual geographical scope according to the geographical location wiring diagram, including but not limited to administrative divisions such as provinces, cities, and counties, or divisions based on accurate data such as longitude and latitude. They can also be divided according to custom data such as the company to which the assets belong, the dispatch scope, etc.

[0060] The time range selected by the user can include both past and future time, i.e. the time range of the historical period and the planned annual time. The annual load period is divided according to the daily maximum load value, including but not limited to the annual low load period (such as the Spring Festival, policy-based load restrictions), the annual high load period (such as the summer peak from July to August, the winter peak from December to February), and the annual regular load period; according to the daily load time distribution, the daily load period is divided, including but not limited to the daily high load period (such as 10:30-12:00, 19:00-21:00), the daily low load period (such as 10:30-12:00, 19:00-21:00), and the daily regular load period.

[0061] Automatic voltage control algorithms include but are not limited to coordinated secondary voltage control algorithms, multi-objective optimization intelligent segmentation algorithms, Pareto optimal solutions, etc.

[0062] The target network model includes the conventional parameters of the model parameters of each device (resistance, reactance, etc.), and may also include the substation, asset company, geographical location information, control information, and annual time scale (planned commissioning time, actual commissioning time, planned retirement time, actual retirement time, etc.). In addition, users can also selectively enter the location (geographic location and topology) and model parameters of new equipment in different planning years. New equipment may include but is not limited to lines, buses, units, loads, switches, transformers, and circuit breakers, but does not include capacitors, reactors, line series compensation, static VAR compensators (SVG, StaticVar Generator), static VAR compensators (SVC, Static Var Compensator) and energy storage devices. The model parameters of new equipment are selected by default as typical values. The initialization subsystem can enter or modify the above model data, and can also import the above model data from energy management systems, data acquisition and monitoring systems, D5000 and other systems.

[0063] Step 102, initializing simulation parameters of the target regulating device.

[0064] In this embodiment, the initial value of the simulation parameter may be a typical value or a value in existing data.

[0065] Step 103, simulate the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtain the operating data corresponding to the target network model under the current simulation parameters, and judge whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters. If they do not match, go to step 104; if they match, go to step 105.

[0066] In this embodiment, the operating data can reflect the operating state of the target network model after using the current simulation parameters. Evaluation of the operating state can determine whether the current simulation parameters can enable the target network model to reach the required operating state, thereby determining whether the current simulation parameters match the original operating data.

[0067] In this embodiment, the automatic voltage control simulation subsystem simulates the target network model, and the specific simulation process includes:

[0068] First, the new equipment model for the planned year is loaded according to the planned annual time: the equipment parameters for that year are loaded into the database, the substation model and line model parameters newly added to the database are updated, the system automatically initializes the topology relationship, and automatically adds other equipment belonging to the substation.

[0069] After the energy internet model is loaded, the data acquisition program periodically sends the measurement data to the database, and then the state estimation program periodically performs state estimation; the existing energy internet model directly maps the measurement data in the annual data acquisition and monitoring system, and initializes the measurement mapping for the newly built equipment in the planned year; the measurement data includes voltage measurement data, injection measurement data, active injection measurement data, reactive injection measurement data and flow measurement data; the state estimation refers to identifying and eliminating bad data in the measurement data.

[0070] If the initialization fails, an alarm message will be output. The above data will be stored in the database.

[0071] For a newly built or existing reactive compensation device, under the premise that the model parameters of other related reactive compensation devices remain unchanged, multiple sets of models and parameters are used respectively, combined with the spatiotemporal distribution data of active and reactive loads in different annual load periods and daily load periods in the planning year predicted by the data analysis subsystem and the automatic voltage control algorithm selected in the initialization subsystem to carry out medium- and long-term simulations, and count the number of voltage over-limits and the number of actions of different reactive compensation devices, the upper and lower limits of operating voltage, and store them in the database.

[0072] The above-selected automatic voltage control algorithm for medium- and long-term simulation refers to the first flow calculation of the model and data to determine whether the total bus voltage or the central point bus voltage exceeds the limit. If not, enter the next round of simulation; if any bus voltage exceeds the limit, search for the reactive compensation device and energy storage device belonging to the power grid partition, calculate the optimal control device or the optimal control device combination according to the automatic voltage control algorithm, and calculate the time required to achieve the bus voltage not exceeding the limit and the bus voltage value after the adjustment is completed.

[0073] The above-mentioned optimal control device refers to the switching on / off or output value change of a reactive compensation device or energy storage device in the power grid partition so as to achieve the purpose of not exceeding the limit of the bus voltage. The above-mentioned optimal control device combination refers to the switching on / off or output value change of part or all of the reactive compensation devices and energy storage devices in the power grid partition so as to achieve the purpose of not exceeding the limit of the bus voltage.

[0074] Step 104, adjusting the simulation parameters of the target adjustment device, and jumping to step 103, until the current simulation parameters match the original operation data;

[0075] Step 105: output current simulation parameters.

[0076] In this embodiment, if the current simulation parameters do not match the original operation data, the simulation parameters need to be adjusted until the required operation data is obtained, and then the corresponding simulation parameters are output.

[0077] The specific matching conditions may be: if the optimal control device or the optimal control device combination can adjust the bus voltage to within the limit within 5 minutes after the voltage adjustment command is issued, and the capacitors and reactors do not switch back and forth, or the reactive output values ​​of SVG, SVC, and energy storage devices do not fluctuate back and forth, then the reactive regulation rate of the reactive compensation device and the reactive regulation rate of the energy storage device in this simulation of the power grid partition match, and enter the next round of simulation until the end of the annual simulation.

[0078] In some embodiments, the simulation parameters include a reactive compensation device capacity threshold and an energy storage device capacity threshold;

[0079] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0080] If any bus voltage exceeds the limit in the original operation data, and when the capacities of all reactive compensation devices are adjusted to the reactive compensation capacity threshold and the capacities of all energy storage devices are adjusted to the energy storage device capacity threshold, the bus voltage still exceeds the limit, then it is determined that the current simulation parameters do not match the original operation data;

[0081] Adjust the simulation parameters of the target adjustment device, including:

[0082] The capacity thresholds of all reactive compensation devices and energy storage devices are adjusted to increase the sum of all capacity thresholds.

[0083] In this embodiment, if all reactive compensation device capacities and energy storage device capacities are put into / cut out, and the bus voltage still exceeds the limit, then in this area, the reactive compensation device capacity and the energy storage device capacity do not match. Then output "reactive compensation device capacity and energy storage device capacity do not match", and adjust all reactive compensation device capacity thresholds and energy storage device capacity thresholds to increase the sum of all capacity thresholds, and then enter the next round of simulation until the total reactive value required to adjust the bus voltage not to exceed the limit is obtained, output the current simulation parameters and end the program. In this embodiment, the method of adjusting all reactive compensation device capacity thresholds and energy storage device capacity thresholds can be to keep the number and position of all reactive compensation devices and energy storage devices unchanged, only adjust the capacity threshold, or add new reactive compensation devices or energy storage devices to increase the total reactive compensation capacity that the reactive compensation devices and energy storage devices can provide.

[0084] In some embodiments, the simulation parameters include a reactive compensation device capacity threshold, an energy storage device capacity threshold, a reactive regulation rate threshold of the reactive compensation device, and a reactive regulation rate threshold of the energy storage device;

[0085] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0086] If there is any bus voltage over-limit in the original operation data, and when the capacity of all reactive compensation devices is adjusted to the reactive compensation capacity threshold, the capacity of all energy storage devices is adjusted to the energy storage device capacity threshold, the reactive regulation rates of all reactive compensation devices are adjusted to the corresponding reactive regulation rate threshold, and the reactive regulation rates of all energy storage devices are adjusted to the corresponding reactive regulation rate threshold, the time taken for the bus voltage to go from over-limit to not over-limit is greater than the preset time threshold, it is determined that the current simulation parameters do not match the original operation data;

[0087] Adjust the simulation parameters of the target adjustment device, including:

[0088] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to increase the sum of all reactive regulation rate thresholds.

[0089] In this embodiment, if the capacity of all reactive compensation devices and energy storage devices are put into / cut out, and the bus voltage still exceeds the limit 5 minutes after the voltage adjustment command is issued but does not exceed the limit in the end, then the capacity of the reactive compensation device and energy storage device of the power grid partition or the reactive regulation rate of the device does not match. Adjust the reactive regulation rate of the current SVC / SVG device to the maximum reactive regulation rate, and adjust the reactive regulation rate of the energy storage device to the maximum reactive regulation rate. If it still exceeds the limit 5 minutes after the voltage adjustment command is issued but does not exceed the limit in the end, output "reactive compensation device capacity and energy storage device rate do not match", and adjust the reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of the energy storage device to increase the sum of all reactive regulation rate thresholds, and then enter the next round of simulation until the minimum reactive regulation total rate required to adjust the bus voltage within 5 minutes without exceeding the limit is obtained, output the current simulation parameters and end the program. Otherwise, enter the coordinated control analysis subsystem, first adjust the reactive power regulation rate of the reactive power compensation device, increase the maximum reactive power regulation rate of the reactive power compensation device by 5% each time, and re-simulate until the operating data meets the matching conditions, and end the program; if the maximum reactive power regulation rate of the reactive power compensation device has been adjusted to 90%, and the operating data still does not meet the matching conditions, then start adjusting the reactive power regulation rate of the energy storage device on this basis, increase the maximum reactive power regulation rate of the energy storage device by 5%, and re-simulate until the operating data meets the matching conditions, and end the program; if the maximum reactive power regulation rate of the energy storage device has been adjusted to 90%, and the operating data still does not meet the matching conditions, then increase the maximum reactive power regulation rate of the reactive power compensation device by 2.5% each time and increase the maximum reactive power regulation rate of the energy storage device by 2.5%, and re-simulate until the operating data meets the matching conditions, and record the reactive power regulation rate V of the reactive power compensation device at this time R and the reactive power regulation rate V of the energy storage device ES , output "It is recommended that the reactive power adjustment rate of the reactive power compensation device should not be less than VR And the reactive power regulation rate of the energy storage device is not less than V ES ”, and end the program.

[0090] In some embodiments, the operation data includes a voltage regulation command; the simulation parameters include a reactive regulation rate threshold of a reactive compensation device and a reactive regulation rate threshold of an energy storage device;

[0091] Based on the running data corresponding to the current simulation parameters, it is determined whether the current simulation parameters match the original running data, including:

[0092] If any bus voltage exceeds the limit in the original operation data, if the time taken for the bus voltage to change from exceeding the limit to not exceeding the limit is monitored to be no greater than the preset time threshold in the operation data corresponding to the current simulation parameter, and there is an opposite voltage adjustment command, then it is determined that the current simulation parameter does not match the original operation data;

[0093] Adjust the simulation parameters of the target adjustment device, including:

[0094] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to reduce the sum of all reactive regulation rate thresholds.

[0095] In this embodiment, if the optimal control device or the optimal control device combination can adjust the bus voltage to within the limit within 5 minutes after the voltage adjustment command is issued, but the voltage adjustment commands are opposite several times afterwards, the capacitors and reactors are switched back and forth, or the reactive output values ​​of SVG, SVC, and energy storage devices fluctuate back and forth, then the reactive adjustment rate of the reactive compensation device of the power grid partition and the reactive adjustment rate of the energy storage device do not match, and the coordinated control analysis subsystem is entered to compare the reactive adjustment rates of the reactive compensation device and the energy storage device. If the reactive adjustment rate of the reactive compensation device is greater than or equal to the reactive adjustment rate of the energy storage device, the maximum reactive adjustment rate of the reactive compensation device is reduced by 5% each time, and the simulation is re-performed until the operating data meets the matching condition, and the reactive adjustment rate V of the reactive compensation device at this time is recorded. R , output "It is recommended that the reactive power adjustment rate of the reactive power compensation device should not be greater than V R , end the program; if the reactive power adjustment rate of the reactive power compensation device is less than the reactive power adjustment rate of the energy storage device, then reduce the maximum reactive power adjustment rate of the energy storage device by 5% each time, and re-simulate until the operating data meets the matching conditions, and record the reactive power adjustment rate V of the energy storage device at this time ES , output "It is recommended that the reactive power regulation rate of the energy storage device should not exceed V ES , end the program.

[0096] In some embodiments, the preset time range is a planned annual time;

[0097] Obtaining the target network model includes:

[0098] Obtaining the preset range, preset time range and newly added device information within the preset time range of the energy internet;

[0099] Obtain the topological structure corresponding to the energy Internet within a preset range in the database;

[0100] The topology structure is updated based on the newly added device information to obtain the target network model.

[0101] In this embodiment, the reactive power compensation device and energy storage detailed modeling subsystem is responsible for creating the locations, models and parameters of capacitors, reactors, line series compensation, static VAR compensators (SVGs), and energy storage devices.

[0102] Specifically, the reactive compensation device and energy storage detailed modeling subsystem can simultaneously establish multiple sets of models and parameters for the compensation device. The compensation device refers to capacitors, reactors, SVG, SVC or line series compensation on the high-voltage side bus connection line. SVG models include but are not limited to controllable saturated reactors, self-saturated reactors, and phase-controlled reactors. SVC models include thyristor-controlled capacitor type and thyristor-controlled reactor type. SVG and SVC parameters include but are not limited to manufacturer, power factor, control mode, voltage setting, reactive power regulation rate, maximum reactive power regulation rate, regulation dead zone, and capacity. Capacitor, reactor and line series compensation parameters include but are not limited to minimum unit capacity, number of groups, maximum number of groups put into operation at one time, maximum number of groups cut out at one time, and number of times of re-investment / cut-off after refusal to operate. The reactive compensation device and energy storage detailed modeling subsystem can also simultaneously establish multiple sets of models and parameters for energy storage devices. Energy storage devices include but are not limited to battery energy storage, supercapacitor energy storage, flywheel energy storage, compressed air energy storage, pumped storage, etc. The parameters of the energy storage device include but are not limited to the manufacturer, inverter control mode, power factor, voltage setting, reactive power regulation rate, maximum reactive power regulation rate, maximum reactive power output value, regulation dead zone, capacity, start-up time, rated energy value, and current energy value.

[0103] In some embodiments, the preset time range is a time range of a historical period;

[0104] Obtaining the operating data of the target network model within a preset time range as the original operating data includes:

[0105] Obtaining the temporal and spatial distribution data of the load of the target network model within a preset time range;

[0106] Perform state estimation on the load spatiotemporal distribution data to obtain the original operation data.

[0107] In this embodiment, the data analysis subsystem can generate calculation data based on existing data, such as actual annual operation data derived from energy management systems, data acquisition and monitoring systems, D5000, open3000 and other systems, or can generate calculation data based on existing data using machine learning algorithms or simulation algorithms; machine learning algorithms include but are not limited to regression analysis, clustering, association rules, neural networks, WEB data mining, and support vector machines. The machine learning algorithms for predicting different data can be the same or different.

[0108] Select the time range for generating calculation data, load the energy Internet model, parameters and operation data of the time range, and the operation data include but are not limited to the equipment unplanned shutdown status and shutdown duration, equipment refusal status and duration, active and reactive load time and space distribution data, monthly voltage upper and lower limits and upper and lower limits of the voltage curve issued for a certain voltage level bus of a certain substation in different years. Then periodically send the measurement data in the annual operation data to the database, and then periodically perform state estimation; the existing energy Internet model directly maps the measurement data after state estimation; if there is a planned annual new equipment, it is also necessary to initialize the measurement mapping for the planned annual new equipment; the measurement data includes voltage measurement data, injection measurement data, active injection measurement data, reactive injection measurement data and flow measurement data; the state estimation refers to identifying and eliminating bad data in the measurement data.

[0109] The time range for generating calculation data should not be less than the "time range of energy Internet to be analyzed" set by the user.

[0110] In some embodiments, the preset time range is a planned annual time;

[0111] Obtaining the operating data of the target network model within a preset time range as the original operating data includes:

[0112] The machine learning algorithm is used to predict the load spatiotemporal distribution data in the annual load period and the daily load period for each planning year within the preset time range to obtain the original operation data.

[0113] The machine learning algorithms in this embodiment include but are not limited to regression analysis, clustering, association rules, neural networks, web data mining, and support vector machines. The machine learning algorithms for predicting different data can be the same or different.

[0114] In some embodiments, simulating a target network model loaded with current simulation parameters according to an automatic voltage control algorithm to obtain operating data corresponding to the target network model under the current simulation parameters includes:

[0115] Initialize the simulated working condition of the target regulating device; the simulated working condition includes the input compensation capacity of each reactive compensation device and energy storage device;

[0116] According to the automatic voltage control algorithm, the target network model loaded with the current simulation parameters is simulated under the current simulation working condition to obtain the operation data corresponding to the current simulation working condition;

[0117] If the bus voltage exceeds the limit in the operating data corresponding to the current simulation condition, the compensation capacity of each reactive compensation device and / or energy storage device is increased, and the process jumps to the step of "simulating the target network model loaded with the current simulation parameters under the current simulation condition according to the automatic voltage control algorithm to obtain the operating data corresponding to the current simulation condition" until the compensation capacity of each reactive compensation device is adjusted to the reactive compensation device capacity threshold, and the compensation capacity of each energy storage device is adjusted to the energy storage device capacity threshold, and the operating data corresponding to the current simulation condition is used as the operating data corresponding to the target network model under the current simulation parameters.

[0118] In this embodiment, if the bus voltage exceeds the limit during the simulation process, it means that the compensation capacity of the reactive compensation device and the energy storage device cannot meet the operation of the target network model, and it is necessary to adjust the compensation capacity of the reactive compensation device and the energy storage device in the next simulation, and re-simulate to obtain the operating data until the compensation capacity of the reactive compensation device and the energy storage device reaches the maximum, or until the bus voltage does not exceed the limit during the simulation process.

[0119] In a specific embodiment, the parameter matching method of the power grid regulation device provided by the present invention is implemented by a software system, which includes: an initialization subsystem, a reactive compensation device and energy storage detailed modeling subsystem, a data analysis subsystem, an automatic voltage control simulation subsystem, and a coordinated control analysis subsystem, wherein the initialization subsystem is used to simulate parameters, read in files for setting and modifying; the reactive compensation device and energy storage detailed modeling subsystem is used to establish multiple groups of models and parameters for the reactive compensation device and the energy storage device; the data analysis subsystem is used to select the time range for which data analysis is required, load the energy Internet model, parameters and operating data of the time range, and obtain the active and reactive load spatiotemporal distribution data, unplanned outage status and outage duration, refusal status and duration for different target annual load periods and daily load periods; the automatic voltage control simulation subsystem performs medium- and long-term simulations based on different voltage curves and different automatic voltage control algorithms to obtain capacity recommendations for reactive compensation devices and energy storage devices; the coordinated control analysis subsystem can simulate parameter combinations of different reactive regulation rates of reactive compensation devices and energy storage devices, obtain relevant indicator results, compare them, and obtain the optimal configuration.

[0120] Figure 2This is the equipment connection diagram of the energy Internet, where represents reactive power compensation device, and ● represents energy storage device. The specific process is:

[0121] (1) Initialize subsystem

[0122] The user enters the initialization subsystem and determines the actual energy Internet scope and topology that needs to be analyzed. Figure 1 Select the time range of the energy internet to be analyzed, which can include both the time that has occurred and the planned annual time.

[0123] In this embodiment, the time range to be analyzed is selected as January to March of a certain year, among which February 8 to 26 is the annual low load period (Spring Festival), and the rest of the time is the annual regular load period; according to the daily load time distribution, the daily load period is divided into: daily high load period (10:30-12:00, 19:00-21:00), daily low load period (10:30-12:00, 19:00-21:00), and daily regular load period.

[0124] The regional energy Internet connection relationship analyzed in this embodiment is as follows: Figure 3 As shown, the selected automatic voltage control algorithm is a coordinated three-level voltage control algorithm. The energy storage devices (black dots in the figure) are located in substations 6, 10, 16, 18, 20, 23, 25, 29, and 39. No new equipment is added. The initialization subsystem can enter or modify the above model data, and can also import the above model and parameter data from the energy management system, data acquisition and monitoring system, D5000 and other systems. This embodiment imports the model and parameter data from the data acquisition and monitoring system.

[0125] (2) Detailed modeling subsystem of reactive power compensation device and energy storage

[0126] The subsystem can simultaneously establish multiple sets of models and parameters for compensation devices. Compensation devices refer to capacitors, reactors, SVG, SVC or line series compensation on the high-voltage side bus connection line.

[0127] SVG models include but are not limited to controllable saturable reactors, self-saturated reactors, and phase-controlled reactors.

[0128] The SVC models include thyristor controlled capacitor type and thyristor controlled reactor type.

[0129] SVG and SVC parameters include but are not limited to manufacturer, power factor, control method, voltage setting, reactive power regulation rate, maximum reactive power regulation rate, regulation dead zone, and capacity.

[0130] The parameters of capacitors, reactors and line series compensation include but are not limited to the minimum unit capacity, number of groups, maximum number of groups put into operation at one time, maximum number of groups cut out at one time, and the limit number of times of re-applying / cutting after refusal to operate.

[0131] The subsystem can also establish multiple sets of models and parameters for energy storage devices at the same time. Energy storage devices include but are not limited to battery energy storage, supercapacitor energy storage, flywheel energy storage, compressed air energy storage, pumped storage, etc.

[0132] The parameters of the energy storage device include but are not limited to the manufacturer, inverter control mode, power factor, voltage setting, reactive power regulation rate, maximum reactive power regulation rate, maximum reactive power output value, regulation dead zone, capacity, start-up time, rated energy value, and current energy value.

[0133] In this embodiment, all reactive power compensation devices are SVGs, and all energy storage devices are battery energy storages.

[0134] (3) Data Analysis Subsystem

[0135] The subsystem can generate calculation data based on existing data, such as actual annual operation data derived from energy management systems, data acquisition and monitoring systems, D5000, open3000 and other systems, or it can generate calculation data based on existing data using machine learning algorithms or simulation algorithms. Machine learning algorithms include but are not limited to regression analysis, clustering, association rules, neural networks, WEB data mining, and support vector machines. The machine learning algorithms for predicting different data can be the same or different. This embodiment chooses to generate calculation data from the data acquisition and monitoring system.

[0136] Select the time range for generating calculation data, load the energy Internet model, parameters and operation data of the time range, the operation data includes but is not limited to the equipment unplanned shutdown status and shutdown duration, equipment refusal status and duration, active and reactive load time and space distribution data, the monthly voltage upper and lower limits of a certain voltage level bus of a substation in different years, and the upper and lower limits of the voltage curve. The time range for generating calculation data in this embodiment is: January 1 of year a to December 31 of year b, where b = a + 5.

[0137] Then, the measurement data in the annual operation data is periodically sent to the database, and then the state estimation is periodically performed; the existing energy Internet model directly maps the measurement data after state estimation; if there is new equipment in the planned year, it is also necessary to initialize the measurement mapping for the new equipment in the planned year; the measurement data includes voltage measurement data, injection measurement data, active injection measurement data, reactive injection measurement data and flow measurement data; the state estimation refers to identifying and eliminating bad data in the measurement data. In this embodiment, there is no new equipment in the planned year.

[0138] (4) Automatic voltage control simulation subsystem

[0139] First, the new equipment model for the planned year is loaded according to the planned year time: the equipment parameters for the year are loaded into the database, the new substation model and line model parameters in the database are updated, the system automatically initializes the topology relationship, and automatically adds other equipment belonging to the substation. In this embodiment, there is no new equipment in the planned year.

[0140] After the energy internet model is loaded, the data acquisition program periodically sends the measurement data to the database, and then the state estimation program periodically performs state estimation; the existing energy internet model directly maps the measurement data in the annual data acquisition and monitoring system, and initializes the measurement mapping for the newly built equipment in the planned year; the measurement data includes voltage measurement data, injection measurement data, active injection measurement data, reactive injection measurement data and flow measurement data; the state estimation refers to identifying and eliminating bad data in the measurement data.

[0141] If the initialization fails, an alarm message will be output. The above data will be stored in the database.

[0142] For a newly built or existing reactive compensation device, under the premise that the model parameters of other related reactive compensation devices remain unchanged, multiple sets of models and parameters are used respectively, combined with the spatiotemporal distribution data of active and reactive loads in different annual load periods and daily load periods in the planning year predicted by the data analysis subsystem and the automatic voltage control algorithm selected in the initialization subsystem to carry out medium- and long-term simulations, and count the number of voltage over-limits and the number of actions of different reactive compensation devices, the upper and lower limits of operating voltage, and store them in the database.

[0143] The above-selected automatic voltage control algorithm performs medium- and long-term simulation, which means that after the first power flow calculation of the model and data, it is determined whether the voltage of all buses or the bus voltage at the central point exceeds the limit. If not, it enters the next round of simulation; if a bus voltage exceeds the limit, it searches for the reactive compensation devices and energy storage devices belonging to the power grid partition, calculates the optimal control device or the optimal control device combination according to the automatic voltage control algorithm, and calculates the time required to achieve the bus voltage within the limit and the bus voltage value after the adjustment is completed. The following situations may occur: (A) If the capacity of all reactive compensation devices and energy storage devices is put into / cut out, and the bus voltage still exceeds the limit, then the capacity of the reactive compensation device and the capacity of the energy storage device in this area do not match. Then output "the capacity of the reactive compensation device and the capacity of the energy storage device do not match", and calculate the total reactive value required to adjust the bus voltage within the limit, and then end the program. (B) If all reactive compensation device capacities and energy storage device capacities are switched on / off, and the bus voltage still exceeds the limit 5 minutes after the voltage adjustment command is issued but does not exceed the limit in the end, then the capacity of the reactive compensation device and energy storage device in the power grid partition or the reactive regulation rate of the device does not match. Adjust the reactive regulation rate of the current SVC / SVG device to the maximum reactive regulation rate, and adjust the reactive regulation rate of the energy storage device to the maximum reactive regulation rate. If it still exceeds the limit 5 minutes after the voltage adjustment command is issued but does not exceed the limit in the end, output "reactive compensation device capacity and energy storage device rate do not match", calculate the minimum reactive regulation rate required to adjust the bus voltage within 5 minutes without exceeding the limit, and then end the program. Otherwise, the coordinated control analysis subsystem is entered; (C) If the optimal control device or the optimal control device combination can adjust the bus voltage to within the limit within 5 minutes after the voltage adjustment command is issued, but the voltage adjustment commands are opposite in the following few times, the capacitors and reactors are switched back and forth, or the reactive output values ​​of SVG, SVC, and energy storage devices fluctuate back and forth, then the reactive adjustment rate of the reactive compensation device in the power grid partition and the reactive adjustment rate of the energy storage device do not match, and the coordinated control analysis subsystem is entered; (D) If the optimal control device or the optimal control device combination can adjust the bus voltage to within the limit within 5 minutes after the voltage adjustment command is issued, and the capacitors and reactors are not switched back and forth, or the reactive output values ​​of SVG, SVC, and energy storage devices do not fluctuate back and forth, then the reactive adjustment rate of the reactive compensation device in the power grid partition in this simulation matches the reactive adjustment rate of the energy storage device, and the next round of simulation is entered until the end of the annual simulation.

[0144] The above-mentioned optimal control device refers to the switching on / off or output value change of a reactive compensation device or energy storage device in the power grid partition so as to achieve the purpose of not exceeding the limit of the bus voltage. The above-mentioned optimal control device combination refers to the switching on / off or output value change of part or all of the reactive compensation devices and energy storage devices in the power grid partition so as to achieve the purpose of not exceeding the limit of the bus voltage.

[0145] This embodiment analyzes the SVG and battery energy storage device of substation 39. Under the original equipment parameters, the coordinated three-level voltage control algorithm is used for simulation, and the central point bus voltage exceeds the limit. The reactive compensation device and energy storage device belonging to the grid partition are searched traversally, and the optimal control device or the optimal control device combination is simulated according to the coordinated three-level voltage control algorithm. The time required to achieve the bus voltage within the limit and the bus voltage value after the adjustment are calculated. The result belongs to situation (B), the reactive adjustment rate of the SVG and the battery energy storage device are adjusted to reach the maximum value, the bus voltage does not exceed the limit, and the coordinated control analysis subsystem is entered.

[0146] Table 1 Equipment parameters of substation 39SVG and energy storage device

[0147]

[0148] (5) Coordination control analysis subsystem

[0149] If it is the coordinated control analysis subsystem entered in the above situation B, the reactive regulation rate of the reactive compensation device is adjusted first, and the maximum reactive regulation rate of the reactive compensation device is increased by 5% each time, and the simulation in the automatic voltage control simulation subsystem is repeated to achieve the same situation as situation B, until the operating data meets the matching conditions, and the program ends; if the maximum reactive regulation rate of the reactive compensation device has been adjusted to 90%, and the operating data still does not meet the matching conditions, then the reactive regulation rate of the energy storage device is adjusted on this basis, and the maximum reactive regulation rate of the energy storage device is increased by 5% each time, and the simulation in the automatic voltage control simulation subsystem is repeated to achieve the same situation as situation B, until the operating data meets the matching conditions. If the operation data meets the matching condition, the program ends; if it has been adjusted to 90% of the maximum reactive power regulation rate of the energy storage device and the operation data still does not meet the matching condition, the maximum reactive power regulation rate of the reactive compensation device is increased by 2.5% and the maximum reactive power regulation rate of the energy storage device is increased by 2.5% each time, and the simulation of the same situation B in the automatic voltage control simulation subsystem is repeated until the operation data meets the matching condition, the reactive power regulation rate VR of the reactive compensation device and the reactive power regulation rate VES of the energy storage device are recorded at this time, and the output is "It is recommended that the reactive power regulation rate of the reactive compensation device is not less than VR and the reactive power regulation rate of the energy storage device is not less than VES", and the program ends.

[0150] If the coordinated control analysis subsystem entered in the above situation C, the reactive adjustment rates of the reactive compensation device and the energy storage device are compared. If the reactive adjustment rate of the reactive compensation device is greater than or equal to the reactive adjustment rate of the energy storage device, the maximum reactive adjustment rate of the reactive compensation device is reduced by 5% each time, and the simulation in the automatic voltage control simulation subsystem is repeated to achieve the same situation as situation C, until the operating data meets the matching conditions, the reactive adjustment rate VR of the reactive compensation device at this time is recorded, and the output is "It is recommended that the reactive adjustment rate of the reactive compensation device is not greater than VR, and the program ends; if the reactive adjustment rate of the reactive compensation device is less than the reactive adjustment rate of the energy storage device, the maximum reactive adjustment rate of the energy storage device is reduced by 5% each time, and the simulation in the automatic voltage control simulation subsystem is repeated to achieve the same situation as situation C, until the operating data meets the matching conditions, the reactive adjustment rate VES of the energy storage device at this time is recorded, and the output is "It is recommended that the reactive adjustment rate of the energy storage device is not greater than VES, and the program ends; this embodiment belongs to the coordinated control analysis subsystem entered in situation B, then the reactive compensation is adjusted first The reactive power regulation rate of the device is adjusted, and the simulation in the automatic voltage control simulation subsystem is repeated to achieve the same simulation as situation B, and each time the maximum reactive power regulation rate of the reactive power compensation device is increased by 5%, that is, 0.15 MVar / s; after 12 adjustments, the maximum reactive power regulation rate of the reactive power compensation device has reached 90% and the operating data still does not meet the matching conditions, and the reactive power regulation rate of the energy storage device is adjusted, and each time the maximum reactive power regulation rate of the energy storage device is increased by 5%, that is, 0.25 MVar / s; after 14 adjustments, the maximum reactive power regulation rate of the energy storage device is reached. If the rate is 90%, and the operating data still does not meet the matching conditions, then increase the maximum reactive adjustment rate of the reactive compensation device by 2.5% (0.075 MVar / s) and the maximum reactive adjustment rate of the energy storage device by 2.5% (0.125 MVar / s) each time. After one adjustment, if the operating data meets the matching conditions, then record the adjustment rate VR of the reactive compensation device (SVG): 2.875 MVar / s, and the adjustment rate VES of the energy storage device (battery energy storage): 4.625 MVar / s. Record the reactive adjustment rate of the reactive compensation device and the reactive adjustment rate VES of the energy storage device at this time, and output "It is recommended that the reactive adjustment rate of the reactive compensation device is not less than 2.875 MVar / s and the reactive adjustment rate of the energy storage device is not less than 4.625 MVar / s", and end the program.

[0151] The parameter matching method of the power grid regulating device provided by the embodiment of the present invention includes: step 1: obtaining the target network model and the operating data of the target network model within a preset time range as the original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulating device, and the target regulating device includes a reactive compensation device and an energy storage device; the operating data includes load time and space distribution data; step 2: initializing the simulation parameters of the target regulating device; step 3: simulating the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtaining the corresponding operating data of the target network model under the current simulation parameters, and judging whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters; step 4: if not matched, adjusting the simulation parameters of the target regulating device, and jumping to step 3 until the current simulation parameters match the original operating data, and outputting the current simulation parameters. The present invention can determine the simulation parameters of the regulating device that matches the operating environment, so that the capacity and reactive regulation rate of the reactive compensation device and the energy storage device are matched with the operating environment, and optimize the operating state of the target network.

[0152] The present invention has the following advantages:

[0153] 1. The present invention solves the problem of whether the parameters of the reactive power compensation device and the energy storage device in the region or substation match, makes full use of data analysis, and improves the applicability of the equipment.

[0154] 2. In the present invention, calculation data can be generated based on existing data, such as actual annual operation data derived from energy management systems, data acquisition and monitoring systems, D5000, open3000 and other systems, or calculation data can be generated based on existing data using machine learning algorithms or simulation algorithms.

[0155] 3. The present invention is applicable to a variety of data analysis methods. The energy Internet data analyzed can be actual operation data derived from energy management systems, data acquisition and monitoring systems, D5000, open3000 and other systems, or it can be a collection of several groups of medium- and long-term simulation data of the energy Internet.

[0156] 4. The present invention is applicable to a variety of automatic voltage control algorithms. When the selected automatic voltage control algorithm is used for medium- and long-term simulation, constraints such as the unplanned shutdown status and shutdown duration of various types of equipment (including but not limited to reactive power compensation devices and energy storage devices) in each annual load period and daily load period, the refusal to operate status and duration in each load period of the year and daily load period can be added to analyze the matching degree of reactive power compensation devices and energy storage devices from multiple aspects, making it better suitable for actual power grid analysis.

[0157] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0158] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0159] Figure 3 A schematic diagram of the structure of a parameter matching system of a power grid regulation device provided by an embodiment of the present invention is shown. For ease of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0160] like Figure 3 As shown, the parameter matching system 3 of the power grid regulation device includes:

[0161] The acquisition module 31 is used to acquire the target network model and the operation data of the target network model within a preset time range as the original operation data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target adjustment device, and the target adjustment device includes a reactive power compensation device and an energy storage device; the operation data includes load time and space distribution data;

[0162] An initialization module 32, used to initialize simulation parameters of the target regulating device;

[0163] The simulation module 33 is used to simulate the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtain the operation data corresponding to the target network model under the current simulation parameters, and determine whether the current simulation parameters match the original operation data based on the operation data corresponding to the current simulation parameters;

[0164] The adjustment module 34 is used to adjust the simulation parameters of the target adjustment device when there is a mismatch, and jump to the simulation module until the current simulation parameters match the original operation data, and output the current simulation parameters.

[0165] In some embodiments, the simulation parameters include a reactive compensation device capacity threshold and an energy storage device capacity threshold;

[0166] The simulation module 33 is specifically used for:

[0167] If any bus voltage exceeds the limit in the original operation data, and when the capacities of all reactive compensation devices are adjusted to the reactive compensation capacity threshold and the capacities of all energy storage devices are adjusted to the energy storage device capacity threshold, the bus voltage still exceeds the limit, then it is determined that the current simulation parameters do not match the original operation data;

[0168] The adjustment module 34 is specifically used for:

[0169] The capacity thresholds of all reactive compensation devices and energy storage devices are adjusted to increase the sum of all capacity thresholds.

[0170] In some embodiments, the simulation parameters include a reactive compensation device capacity threshold, an energy storage device capacity threshold, a reactive regulation rate threshold of the reactive compensation device, and a reactive regulation rate threshold of the energy storage device;

[0171] The simulation module 33 is specifically used for:

[0172] If there is any bus voltage over-limit in the original operation data, and when the capacity of all reactive compensation devices is adjusted to the reactive compensation capacity threshold, the capacity of all energy storage devices is adjusted to the energy storage device capacity threshold, the reactive regulation rates of all reactive compensation devices are adjusted to the corresponding reactive regulation rate threshold, and the reactive regulation rates of all energy storage devices are adjusted to the corresponding reactive regulation rate threshold, the time taken for the bus voltage to go from over-limit to not over-limit is greater than the preset time threshold, it is determined that the current simulation parameters do not match the original operation data;

[0173] The adjustment module 34 is specifically used for:

[0174] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to increase the sum of all reactive regulation rate thresholds.

[0175] In some embodiments, the operation data includes a voltage regulation command; the simulation parameters include a reactive regulation rate threshold of a reactive compensation device and a reactive regulation rate threshold of an energy storage device;

[0176] The simulation module 33 is specifically used for:

[0177] If any bus voltage exceeds the limit in the original operation data, if the time taken for the bus voltage to change from exceeding the limit to not exceeding the limit is monitored to be no greater than the preset time threshold in the operation data corresponding to the current simulation parameter, and there is an opposite voltage adjustment command, then it is determined that the current simulation parameter does not match the original operation data;

[0178] The adjustment module 34 is specifically used for:

[0179] The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to reduce the sum of all reactive regulation rate thresholds.

[0180] In some embodiments, the preset time range is a planned annual time;

[0181] The acquisition module 31 is specifically used for:

[0182] Obtaining the preset range, preset time range and newly added device information within the preset time range of the energy internet;

[0183] Obtain the topological structure corresponding to the energy Internet within a preset range in the database;

[0184] The topology structure is updated based on the newly added device information to obtain the target network model.

[0185] In some embodiments, the preset time range is a time range of a historical period;

[0186] The acquisition module 31 is specifically used for:

[0187] Obtaining the temporal and spatial distribution data of the load of the target network model within a preset time range;

[0188] Perform state estimation on the load spatiotemporal distribution data to obtain the original operation data.

[0189] In some embodiments, the preset time range is a planned annual time;

[0190] The acquisition module 31 is specifically used for:

[0191] The machine learning algorithm is used to predict the load spatiotemporal distribution data in the annual load period and the daily load period for each planning year within the preset time range to obtain the original operation data.

[0192] In some embodiments, the simulation module 33 is specifically used to:

[0193] Initialize the simulated working condition of the target regulating device; the simulated working condition includes the input compensation capacity of each reactive compensation device and energy storage device;

[0194] According to the automatic voltage control algorithm, the target network model loaded with the current simulation parameters is simulated under the current simulation working condition to obtain the operation data corresponding to the current simulation working condition;

[0195] If the bus voltage exceeds the limit in the operating data corresponding to the current simulation condition, the compensation capacity of each reactive compensation device and / or energy storage device is increased, and the process jumps to the step of "simulating the target network model loaded with the current simulation parameters under the current simulation condition according to the automatic voltage control algorithm to obtain the operating data corresponding to the current simulation condition" until the compensation capacity of each reactive compensation device is adjusted to the reactive compensation device capacity threshold, and the compensation capacity of each energy storage device is adjusted to the energy storage device capacity threshold, and the operating data corresponding to the current simulation condition is used as the operating data corresponding to the target network model under the current simulation parameters.

[0196] The parameter matching system of the power grid regulating device provided by the embodiment of the present invention includes: an acquisition module, which is used to acquire the target network model and the operating data of the target network model within a preset time range as the original operating data; the target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulating device, and the target regulating device includes a reactive compensation device and an energy storage device; the operating data includes load time and space distribution data; an initialization module, which is used to initialize the simulation parameters of the target regulating device; a simulation module, which is used to simulate the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtain the corresponding operating data of the target network model under the current simulation parameters, and judge whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters; an adjustment module, which is used to adjust the simulation parameters of the target regulating device when it does not match, and jump to the simulation module until the current simulation parameters match the original operating data, and output the current simulation parameters. The present invention can determine the simulation parameters of the regulating device that matches the operating environment, so that the capacity and reactive regulation rate of the reactive compensation device and the energy storage device are both matched with the operating environment, and optimize the operating state of the target network.

[0197] Figure 4 is a schematic diagram of a terminal provided by an embodiment of the present invention. Figure 4 As shown, the terminal 4 of this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, the steps in the parameter matching method embodiments of the above-mentioned power grid regulation devices are implemented. Alternatively, when the processor 40 executes the computer program 42, the functions of the modules in the above-mentioned device embodiments are implemented.

[0198] Exemplarily, the computer program 42 may be divided into one or more modules, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the terminal 4.

[0199] The terminal 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The terminal 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of terminal 4 and does not constitute a limitation on terminal 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal may also include input and output devices, network access devices, buses, etc.

[0200] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0201] The memory 41 may be an internal storage unit of the terminal 4, such as a hard disk or memory of the terminal 4. The memory 41 may also be an external storage device of the terminal 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the terminal 4. The memory 41 is used to store the computer program and other programs and data required by the terminal. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0202] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0203] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0204] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0205] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0206] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0207] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0208] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the parameter matching method embodiments of each power grid regulation device can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0209] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A parameter matching method for a power grid regulation device, characterized in that: include: Step 1: obtaining a target network model and operation data of the target network model within a preset time range as original operation data; The target network model is constructed based on the topological structure of the energy Internet; the energy Internet includes at least one target regulation device, and the target regulation device includes a reactive compensation device and an energy storage device; the operating data includes load spatiotemporal distribution data; step two: initialize the simulation parameters of the target regulation device; wherein the simulation parameters include a capacity threshold of the reactive compensation device and a capacity threshold of the energy storage device, and / or a reactive regulation rate threshold of the reactive compensation device and a reactive regulation rate threshold of the energy storage device; step three: simulate the target network model loaded with the current simulation parameters according to the automatic voltage control algorithm, obtain the operating data corresponding to the target network model under the current simulation parameters, and judge whether the current simulation parameters match the original operating data based on the operating data corresponding to the current simulation parameters; step four: if not, adjust the simulation parameters of the target regulation device, and jump to step three until the current simulation parameters match the original operating data, and output the current simulation parameters.

2. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The simulation parameters include a reactive compensation device capacity threshold and an energy storage device capacity threshold; The determining, based on the operation data corresponding to the current simulation parameter, whether the current simulation parameter matches the original operation data includes: If any bus voltage exceeds the limit in the original operation data, and when the capacities of all reactive compensation devices are adjusted to the reactive compensation capacity threshold and the capacities of all energy storage devices are adjusted to the energy storage device capacity threshold, the bus voltage still exceeds the limit, it is determined that the current simulation parameters do not match the original operation data; The step of adjusting the simulation parameters of the target adjustment device comprises: The capacity thresholds of all reactive compensation devices and energy storage devices are adjusted to increase the sum of all capacity thresholds.

3. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The simulation parameters include a reactive power compensation device capacity threshold, an energy storage device capacity threshold, a reactive power regulation rate threshold of the reactive power compensation device, and a reactive power regulation rate threshold of the energy storage device; The determining, based on the operation data corresponding to the current simulation parameter, whether the current simulation parameter matches the original operation data includes: If any bus voltage exceeds the limit in the original operation data, and when the capacity of all reactive compensation devices is adjusted to the reactive compensation capacity threshold, the capacity of all energy storage devices is adjusted to the energy storage device capacity threshold, the reactive regulation rates of all reactive compensation devices are adjusted to the corresponding reactive regulation rate threshold, and the reactive regulation rates of all energy storage devices are adjusted to the corresponding reactive regulation rate threshold, the time taken for the bus voltage to change from exceeding the limit to not exceeding the limit is greater than the preset time threshold, it is determined that the current simulation parameters do not match the original operation data; The step of adjusting the simulation parameters of the target adjustment device comprises: The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to increase the sum of all reactive regulation rate thresholds.

4. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The operating data includes voltage regulation commands; The simulation parameters include a reactive power regulation rate threshold of a reactive power compensation device and a reactive power regulation rate threshold of an energy storage device; The determining, based on the operation data corresponding to the current simulation parameter, whether the current simulation parameter matches the original operation data includes: If any bus voltage exceeds the limit in the original operation data, if the time taken for the bus voltage to change from exceeding the limit to not exceeding the limit is monitored to be no greater than the preset time threshold in the operation data corresponding to the current simulation parameter, and there is an opposite voltage adjustment command, then it is determined that the current simulation parameter does not match the original operation data; The step of adjusting the simulation parameters of the target adjustment device comprises: The reactive regulation rate thresholds of all reactive compensation devices and the reactive regulation rate thresholds of energy storage devices are adjusted to reduce the sum of all reactive regulation rate thresholds.

5. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The preset time range is the planned annual time; The acquiring of the target network model comprises: Obtaining a preset range, a preset time range, and new device information within the preset time range of the energy internet; Obtaining the topological structure corresponding to the energy internet within a preset range in a database; The topology structure is updated based on the newly added device information to obtain a target network model.

6. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The preset time range is the time range of the historical period; Acquiring the operation data of the target network model within a preset time range as the original operation data includes: Obtaining the temporal and spatial distribution data of the load of the target network model within a preset time range; State estimation is performed on the load spatiotemporal distribution data to obtain original operation data.

7. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The preset time range is the planned annual time; The obtaining the operation data of the target network model within a preset time range as the original operation data includes: The machine learning algorithm is used to predict the load spatiotemporal distribution data in the annual load period and the daily load period for each planning year within the preset time range to obtain the original operation data.

8. The parameter matching method of the power grid regulation device according to claim 1, characterized in that: The step of simulating the target network model loaded with current simulation parameters according to the automatic voltage control algorithm to obtain the operation data corresponding to the target network model under the current simulation parameters includes: Initialize the simulated working condition of the target regulating device; the simulated working condition includes the input compensation capacity of each reactive compensation device and energy storage device; According to the automatic voltage control algorithm, the target network model loaded with the current simulation parameters is simulated under the current simulation working condition to obtain the operation data corresponding to the current simulation working condition; If the bus voltage exceeds the limit in the operating data corresponding to the current simulation condition, the compensation capacity of each reactive compensation device and / or energy storage device is increased, and the process jumps to the step of "simulating the target network model loaded with the current simulation parameters under the current simulation condition according to the automatic voltage control algorithm to obtain the operating data corresponding to the current simulation condition" until the compensation capacity of each reactive compensation device is adjusted to the reactive compensation device capacity threshold, and the compensation capacity of each energy storage device is adjusted to the energy storage device capacity threshold, and the operating data corresponding to the current simulation condition is used as the operating data corresponding to the target network model under the current simulation parameters.

9. A parameter matching system for a power grid regulation device, characterized in that: include: An acquisition module, used to acquire a target network model and operation data of the target network model within a preset time range as original operation data; The target network model is constructed based on the topological structure of the energy internet; the energy internet includes at least one target regulating device, and the target regulating device includes a reactive power compensation device and an energy storage device; the operation data includes load temporal and spatial distribution data; An initialization module, used to initialize simulation parameters of a target regulating device; wherein the simulation parameters include a capacity threshold of a reactive compensation device and a capacity threshold of an energy storage device, and / or a reactive regulation rate threshold of a reactive compensation device and a reactive regulation rate threshold of an energy storage device; A simulation module, used to simulate a target network model loaded with current simulation parameters according to an automatic voltage control algorithm, obtain operation data corresponding to the target network model under the current simulation parameters, and determine whether the current simulation parameters match the original operation data based on the operation data corresponding to the current simulation parameters; The adjustment module is used to adjust the simulation parameters of the target adjustment device when there is a mismatch, and jump to the simulation module until the current simulation parameters match the original operation data, and output the current simulation parameters.

10. A terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the parameter matching method for the power grid regulation device as described in any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the parameter matching method for a power grid regulation device as described in any one of claims 1 to 8 are implemented.

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