CN109842121B - Multi-stage multi-region cooperative control load reduction online simulation modeling method and system - Google Patents
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Abstract
The invention relates to a multi-stage multi-region cooperative control load reduction online simulation modeling method and a multi-stage multi-region cooperative control load reduction online simulation modeling system, which comprise the following steps: modeling the multi-stage emergency load reduction cooperative decisions of a plurality of areas respectively to form a plurality of multi-stage load reduction cooperative control strategy models; respectively marking each multi-stage load reduction cooperative control strategy model by using keywords, customizing priorities for the multi-stage load reduction cooperative control strategy models, and merging the marked multi-stage load reduction cooperative control strategy models; and performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model to enable information interaction. The invention is beneficial to ensuring the stable operation of the power grid.
Description
Technical Field
The invention relates to the technical field of power system analysis online simulation, in particular to a multi-stage multi-region cooperative control load reduction online simulation modeling method and system.
Background
Load reduction control is an important technical measure for dealing with serious faults and emergency states of a power grid, and is also one of important technical measures for ensuring safe and stable operation of a large power grid. In the management of the dispatching operation of the power grid, the load reduction control implementation mode mainly comprises a second line-defense safety and stability control system (a safety control system for short) of the power system, a third line-defense low-frequency low-voltage load reduction device, an accident pull (limit) power and load control system (orderly power utilization) and the like. For various load reduction control schemes and strategy models thereof, scholars at home and abroad carry out a great deal of research work, and national power grid companies and southern power grid companies also establish relevant technical regulation specifications.
In order to guarantee the safety and reliability of electricity consumption of users, the power safety accident emergency handling and investigation handling regulations (the directive of State Council No. 599) issued in 2011 9 provide strict requirements on the operation and control of the power grid from the aspects of safety and stability of the power grid and power supply reliability. The main evaluation indexes of accident grading, such as the load reduction of the power grid or the number of users in power failure, are determined, and the power grid company is required to cut or not cut the power load as little as possible on the premise of ensuring the safety and stability of the power grid in the accident control processing process. In the regulations, the load reduction proportion of the power grid is respectively formulated according to the load level and the regionality of the power grid, and the control concept of layered partitioning is emphasized. From the current investigation situation, 599 orders of all levels of power grid operation control departments have no comprehensive technical means for supporting, and the subsequent accident grade evaluation is generally carried out according to the 599 orders.
By combining the requirement of the national institute of technology number 599 on emergency load reduction control, the current load reduction control is configured according to specific operation working conditions and cannot be suitable for all operation working conditions; generally, the method is formulated based on single or multiple electric quantities, and mutual influence and control coordination of various emergency load reduction measures in multiple regions are not fully considered; the accident grade evaluation requirement is not comprehensively considered in the emergency load reduction control, and the operation control requirement of a future alternating current and direct current large power grid is difficult to adapt. In addition, various load reducing means are considered independently, a unified effective centralized monitoring means is lacked, various load reducing measures are in cross configuration, and if the tangent lines of the second defense line and the third defense line are overlapped, the condition that the third defense line is in 'blank cut' occurs, so that the configured emergency load reducing measures cannot play an expected role, and the safe operation of a power grid cannot be ensured. Secondly, under the new situation that the electrical connection of the power grid is becoming tighter, the coupling relation between sections is more complex and the interaction influence of the safety and stability level is caused, various emergency load reduction measures of multi-region multi-scheduling are influenced mutually, the problem of the safety and stability of the power grid is difficult to effectively solve only by the operation control means in the jurisdiction range, and the optimization of the control measures is difficult to realize.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the problem that the safe operation cannot be realized due to the poor safety stability of the power grid in the prior art, so that the multi-stage multi-region cooperative control load reduction online simulation modeling method and the multi-stage multi-region cooperative control load reduction online simulation modeling system which have high safety stability of the power grid and effectively ensure the safe operation of the power grid are provided.
In order to solve the technical problem, the invention provides a multi-stage multi-region cooperative control load reduction online simulation modeling method, which comprises the following steps: modeling the multi-stage emergency load reduction cooperative decisions of a plurality of areas respectively to form a plurality of multi-stage load reduction cooperative control strategy models; respectively marking each multi-stage load reduction cooperative control strategy model by using keywords, customizing priorities for the multi-stage load reduction cooperative control strategy models, and merging the marked multi-stage load reduction cooperative control strategy models; and performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model to enable information interaction.
In one embodiment of the present invention, the method for modeling the multi-level emergency load reduction collaborative decisions of the plurality of areas respectively comprises: constructing a pump cutting and pumping cutting pump and a interruptible load cutting system; customizing the load reduction type priority; customizing load reduction zone priority; customizing the related parameters; customizing a custom function; and establishing a multi-stage load reduction cooperative control strategy model.
In one embodiment of the invention, when constructing the pump for cutting pumping and cutting and the system for cutting interruptible load, a two-layer model architecture is adopted: a load shedding control center station model and a load shedding control substation model.
In an embodiment of the present invention, when customizing the priority of the load shedding type, the device or the device group with a larger priority parameter is preferably removed.
In an embodiment of the present invention, when customizing the priority of the load shedding type, the device or the device group with a larger priority parameter is preferably removed.
In one embodiment of the invention, the customized correlation parameters include a safety control action threshold value and a safety control action under-cut amount.
In an embodiment of the present invention, the method for customizing the custom function includes: and constructing a custom function which takes a main substation control model, the load reduction type priority, the load reduction zone priority, other related parameters and the custom function as model input.
In an embodiment of the present invention, the method for establishing the multi-level load shedding cooperative control strategy model includes: and forming a background strategy control file with a main substation control relation, a substation equipment group, load reduction type priority customization and load reduction subarea priority customization by using a visual tool according to a user-defined control logic interface, analyzing by a model analysis program, and associating with the power grid on-line calculation primary equipment model.
In one embodiment of the invention, the information interaction comprises online operation mode data and power grid operation data interaction specifications; load reduction candidate measures and measure interaction specifications; safety checking and optimizing calculation results, and interaction of results is standard.
The invention also provides a load-reducing simulation modeling system which comprises a modeling module, a merging module and an operation control module, wherein the modeling module is used for respectively modeling the multi-stage emergency load-reducing cooperative decisions of a plurality of areas to form a plurality of multi-stage load-reducing cooperative control strategy models; the merging module is used for marking each multi-stage load reduction cooperative control strategy model by using a keyword, customizing the priority for the multi-stage load reduction cooperative control strategy model and merging the marked multi-stage load reduction cooperative control strategy models; and the operation control module is used for performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model so as to realize information interaction.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the multi-stage multi-region cooperative control load reduction online simulation modeling method and system, the multi-stage load reduction cooperative control strategy model is established, and the priority can be respectively customized according to the load reduction type and the load reduction sub-region, so that a power grid stable emergency control system is favorably combed, the power grid safe emergency control cost is favorably reduced, the integral improvement of the power grid stable control level is realized, and the electric power safety accident risk is reduced or avoided while the safety and the stability of the power grid are ensured.
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In order that the present disclosure may be more readily and clearly understood, reference is now made to the following detailed description of the embodiments of the present disclosure taken in conjunction with the accompanying drawings, in which
FIG. 1 is a flow chart of a multi-stage multi-zone cooperative control load reduction online simulation modeling method of the present invention;
FIG. 2 is a schematic diagram of a multi-stage multi-zone cooperative control load reduction online simulation modeling system.
Detailed Description
Example one
As shown in fig. 1, the present embodiment provides a multi-stage multi-zone cooperative control load reduction online simulation modeling method, which includes the following steps: step S1: modeling the multi-stage emergency load reduction cooperative decisions of a plurality of areas respectively to form a plurality of multi-stage load reduction cooperative control strategy models; step S2, respectively marking each multi-stage load reduction cooperative control strategy model by using keywords, customizing priorities for the multi-stage load reduction cooperative control strategy models, and merging the marked multi-stage load reduction cooperative control strategy models; and step S3, performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model to enable information interaction.
In the multi-stage multi-region cooperative load reduction online simulation modeling method of this embodiment, in step S1, multi-stage emergency load reduction cooperative decisions of multiple regions are modeled respectively to form multiple multi-stage load reduction cooperative control strategy models, so as to facilitate simulation of power grid cooperative load reduction measures; in the step S2, the keywords are used to mark each of the multi-stage load reduction cooperative control strategy models, to customize priorities for the multi-stage load reduction cooperative control strategy models, and to merge the marked multi-stage load reduction cooperative control strategy models, so as to facilitate combing a power grid stable emergency control system; in the step S3, the merged multi-stage load shedding cooperative control strategy model is cooperatively controlled to perform information interaction, and since the coordinated load shedding measures of the power grid can be simulated, the stability of the power grid is improved, the overall improvement of the stability control level of the power grid is realized, the safety and emergency control cost of the power grid is reduced, and the risk of electric power safety accidents is reduced or avoided while the safety and stability of the power grid are ensured.
The method for respectively modeling the multi-stage emergency load reduction cooperative decision of the plurality of areas comprises the following steps: constructing a pump cutting and pumping cutting pump and a interruptible load cutting system; customizing the load reduction type priority; customizing load reduction zone priority; customizing the related parameters; customizing a custom function; and establishing a load reduction cooperative control strategy model.
When constructing a system for cutting off a pumping and storage cutting pump and cutting off an interruptible load, a two-layer model framework is adopted: a load shedding control center station model and a load shedding control substation model. And the load shedding control central station model and the load shedding control substation model are both modeled through keywords of a control relation. Specifically, # control relation keyword, load shedding control center station model, control substation 1, control substation 2, control substation 3. A # control east China pumping and cutting pump control master station is suitable for a pumping and cutting pump control execution station, a heaven terrace pumping and cutting control execution station and a cedar tree control execution station; # control, machinable load center station, wooddrainage cutting load substation, Yushan cutting load substation; in the above expression, "the wood-level load substation" is a macro definition name of the device group, and the macro definition completes enumeration of specific devices in the device group set. The device type may be accomplished by a macro definition of the device group, and all devices in the macro definition may have uniform device type attributes.
When customizing the load reduction type priority, the device or the device group with larger priority parameter is preferably removed. Specifically, the grid interruptible load types include a dump load, an interruptible load, and the like. The load reduction collaborative optimization customizes priority levels for each type of load, and the devices or device groups with larger priority parameters are preferably removed. The method for customizing the priority of the load reducing type comprises the following steps: the expression of the model is completed by the definition of the device type priority and the definition of the device type macro, and the modeling syntax is as follows: a # priority key, a device type level. Specifically, the # macro defines a keyword, a device type group name, a device name 1, a device name 2, and a device name 3. Examples are as follows: priority, east China pump cut master station, 100; priority, interruptible load hub, 90. The priority level of the load type and the load group are defined, that is, the name of the load in the load group is associated with the priority level, that is, the priority level of the pumping and pumping device 1, the pumping and pumping device 2, the pumping and pumping device 3, and the like is defined as 100. Thus, the pump will be switched off with a higher priority when the load is switched off. Wherein the keyword "priority" is defined as: the file priority defines a start symbol indicating the priority specified in the file in units of files. The "# priority" key is responsible for the annotation of policy priority.
The method for customizing the load reduction zone priority comprises the following steps: two keywords are defined by macro definition and priority definition. Specifically, # priority key, area level priority level. Such as: # priority woodcut payload station 1; a # define wood drainage cutting load sub-station, a load 1, a load 2 and a load 3; load 4, load 5 and load 6 of # define Yushan cutting load substation. Wherein the definition of the keyword "define" is: and defining and assigning a start character of the variable, and marking the statement of defining and assigning the variable. The "# define" key is responsible for defining the labeling of the priority.
The customized related parameters comprise a safety control action threshold value and a safety control action under-cut amount. Specifically, when the power shortage occurs, the system can bear a certain power shortage by considering the primary frequency modulation and load frequency characteristics of the system, and in order to reduce unnecessary actions of safety control, particularly load shedding, the safety control measure quantity can be smaller than the power shortage, namely, a reasonable safety control action threshold value can be set, and a certain action undercut quantity is reserved. For the security control action threshold value: according to the single-circuit direct current single-pole blocking fault, control measures such as direct current power boosting, pump switching, load switching and the like are not started, and the timing sequence coordination of the measures of local frequency action is considered. And for the safety control action under-cut amount: determined according to the sustainable power deficit for the system dropping to an acceptable frequency value. The specific macro definition modeling form is as follows: # define, threshold power for boosting direct current and pumping cut pump action, 3850; # define, boost direct current and pump action undercut power, 1500; 4100, # define cut interruptible load action threshold power; # define cut interruptible load action undercut power 4100; # define DC Fault allowable load shedding threshold Power, 7600; # define, Yihua direct current maximum liftable amount, 270. Each pumping power plant sends the admission unit of all water pump operating modes of this factory to the pumping main station according to the priority order, and pumping main station adopts "the factory by the factory machine by the machine" (namely 1 st priority water pump of A factory, 1 st priority water pump of B factory, …, 2 nd priority water pump of A factory, 2 nd priority water pump of B factory, …) and cuts the pump, and the excision strategy is according to minimum excessive cutting principle.
The method for customizing the custom function comprises the following steps: and constructing a custom function which takes a main substation control model, the load reduction type priority, the load reduction zone priority, other related parameters and the custom function as model input. Specifically, a complex control processing logic is formed by matching with a multi-level multi-region load reduction strategy, and a custom function which takes a main substation control model, a load reduction type priority, a load reduction regional priority, other related parameters and a custom function as model input needs to be constructed to complete the matching of the strategy and an online calculation program.
The method for establishing the multi-stage load reduction cooperative control strategy model comprises the following steps: and forming a background strategy control file with a main substation control relation, a substation equipment group, load reduction type priority customization and load reduction subarea priority customization by using a visual tool according to a user-defined control logic interface, analyzing by a model analysis program, and associating with the power grid on-line calculation primary equipment model. Specifically, according to the visual modeling diagram of the multiple direct current coordinated control substations, a user builds a control relation diagram of the control main station and the control substation in a dragging mode, and then the multi-level load reduction coordinated control strategy model can be automatically generated.
In step S2, the keyword is a start symbol of each line of the mode language sentence, and represents the content type described by the line of the sentence, and the unspecified part is subject to the C # language specification.
In the step S3, the information interaction includes online operation mode data and power grid operation data interaction specifications; load reduction candidate measures and measure interaction specifications; safety checking and optimizing calculation results, and interaction of results is standard. Specifically, when an extra-high voltage high-power direct current fault occurs, safety and stability problems such as system frequency, voltage and overload are caused after the fault, and multi-level scheduling is needed for performing coordinated operation control. For a regional power grid A and a regional power grid B governed by different scheduling mechanisms, under the interconnection condition, automatic load reduction measures and manual pull coordination need to be carried out, namely, the scheduling A and the scheduling B need to transmit respective measures to the superior scheduling and share measures at the same time. Therefore, the content of the required interactive measures should include: performing online operation mode data and power grid operation data interaction specification; load reduction candidate measures and measure interaction specifications; safety checking and optimizing calculation results, and interaction of results is standard.
Example two
As shown in fig. 2, the present embodiment provides a multi-stage multi-region cooperative control load reduction online simulation modeling system, and a simulation model is constructed by using the multi-stage multi-region cooperative control load reduction online simulation modeling method of the first embodiment: the system comprises a modeling module, a merging module and an operation control module, wherein the modeling module is used for respectively modeling multi-stage emergency load reduction cooperative decisions of a plurality of areas to form a plurality of multi-stage load reduction cooperative control strategy models; the merging module is used for marking each multi-stage load reduction cooperative control strategy model by using a keyword, customizing the priority for the multi-stage load reduction cooperative control strategy model and merging the marked multi-stage load reduction cooperative control strategy models; and the operation control module is used for performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model so as to realize information interaction.
The multi-level multi-region cooperative control load reduction online simulation modeling system comprises a modeling module, a merging module and an operation control module, wherein the modeling module is used for respectively modeling multi-level emergency load reduction cooperative decisions of a plurality of regions to form a plurality of multi-level load reduction cooperative control strategy models, so that power grid cooperative load reduction measures can be simulated; the merging module is used for marking each multi-stage load reduction cooperative control strategy model by using a keyword respectively, customizing priorities for the multi-stage load reduction cooperative control strategy models and merging the marked multi-stage load reduction cooperative control strategy models, so that a power grid stable emergency control system is facilitated to be combed; the operation control module is used for performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model to realize information interaction, and power grid cooperative load reduction measures can be simulated, so that the stability of a power grid is improved, the integral improvement of the stability control level of the power grid is realized, the safety and emergency control cost of the power grid is reduced, and the safety and stability of the power grid are ensured and the risk of electric power safety accidents is reduced or avoided.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (8)
1. A multi-stage multi-region cooperative control load reduction online simulation modeling method is characterized by comprising the following steps:
step S1: the method for modeling the multi-level emergency load reduction cooperative decisions of the plurality of areas respectively to form a plurality of multi-level load reduction cooperative control strategy models comprises the following steps: constructing a pump cutting and pumping cutting pump and a interruptible load cutting system; customizing the load reduction type priority; customizing load reduction zone priority; customizing the related parameters; customizing a custom function; establishing a multi-stage load reduction cooperative control strategy model; the method for establishing the multi-stage load reduction cooperative control strategy model comprises the following steps: forming a background strategy control file with a main substation control relation, a substation equipment group, load reduction type priority customization and load reduction subarea priority customization by using a visualization tool according to a user-defined control logic interface, analyzing by a model analysis program, and associating with a primary equipment model for online calculation of the power grid;
step S2: respectively marking each multi-stage load reduction cooperative control strategy model by using keywords, customizing priorities for the multi-stage load reduction cooperative control strategy models, and merging the marked multi-stage load reduction cooperative control strategy models;
step S3: and performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model to enable information interaction.
2. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: when constructing a system for cutting off a pumping and storage cutting pump and cutting off an interruptible load, a two-layer model framework is adopted: a load shedding control center station model and a load shedding control substation model.
3. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: when customizing the load reduction type priority, the device or the device group with larger priority parameter is preferably removed.
4. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: the method for customizing the load reduction zone priority comprises the following steps: two keywords are defined by macro definition and priority definition.
5. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: the customized related parameters comprise a safety control action threshold value and a safety control action under-cut amount.
6. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: the method for customizing the custom function comprises the following steps: and constructing a custom function which takes a main substation control model, the load reduction type priority, the load reduction zone priority, other related parameters and the custom function as model input.
7. The multi-stage multi-zone cooperative control load reduction online simulation modeling method according to claim 1, characterized in that: the information interaction comprises online operation mode data and power grid operation data interaction specifications; load reduction candidate measures and measure interaction specifications; safety checking and optimizing calculation results, and interaction of results is standard.
8. The utility model provides a multistage multizone is assisted accuse and is reduced load on-line simulation modeling system which characterized in that: the system comprises a modeling module, a merging module and an operation control module, wherein the modeling module is used for respectively modeling multi-stage emergency load reduction cooperative decisions of a plurality of areas to form a plurality of multi-stage load reduction cooperative control strategy models, and the multi-stage load reduction cooperative control strategy models comprise a pump cutting and storage cutting system and an interruptible load cutting system; customizing the load reduction type priority; customizing load reduction zone priority; customizing the related parameters; customizing a custom function; establishing a multi-stage load reduction cooperative control strategy model; establishing a multi-level load reduction cooperative control strategy model, which comprises the steps of forming a background strategy control file with a main substation control relation, a substation equipment group, load reduction type priority customization and load reduction subarea priority customization by using a visual tool according to a user-defined control logic interface, and associating the background strategy control file with a power grid online calculation primary equipment model after the background strategy control file is analyzed by a model analysis program; the merging module is used for marking each multi-stage load reduction cooperative control strategy model by using a keyword, customizing the priority for the multi-stage load reduction cooperative control strategy model and merging the marked multi-stage load reduction cooperative control strategy models; and the operation control module is used for performing cooperative operation control on the combined multi-stage load reduction cooperative control strategy model so as to realize information interaction.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102193504A (en) * | 2011-03-17 | 2011-09-21 | 中国电力科学研究院 | Safety and stability control system modeling method in power system dynamic simulation |
| CN107276075A (en) * | 2017-06-20 | 2017-10-20 | 贵州电网有限责任公司电力调度控制中心 | A kind of multizone load shedding Collaborative Decision Making Method of meter and power grid accident risk class |
| CN108390371A (en) * | 2018-02-11 | 2018-08-10 | 中国电力科学研究院有限公司 | Network system protects control strategy modeling method in on-line analysis |
| CN108964069A (en) * | 2018-07-19 | 2018-12-07 | 中国电力科学研究院有限公司 | A kind of more round Load Shedding According To Frequency emulated computation methods of power grid and system |
-
2019
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102193504A (en) * | 2011-03-17 | 2011-09-21 | 中国电力科学研究院 | Safety and stability control system modeling method in power system dynamic simulation |
| CN107276075A (en) * | 2017-06-20 | 2017-10-20 | 贵州电网有限责任公司电力调度控制中心 | A kind of multizone load shedding Collaborative Decision Making Method of meter and power grid accident risk class |
| CN108390371A (en) * | 2018-02-11 | 2018-08-10 | 中国电力科学研究院有限公司 | Network system protects control strategy modeling method in on-line analysis |
| CN108964069A (en) * | 2018-07-19 | 2018-12-07 | 中国电力科学研究院有限公司 | A kind of more round Load Shedding According To Frequency emulated computation methods of power grid and system |
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