CN116031891A - Client side flexible load aggregation regulation and control method and system - Google Patents

Client side flexible load aggregation regulation and control method and system Download PDF

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Publication number
CN116031891A
CN116031891A CN202111263867.2A CN202111263867A CN116031891A CN 116031891 A CN116031891 A CN 116031891A CN 202111263867 A CN202111263867 A CN 202111263867A CN 116031891 A CN116031891 A CN 116031891A
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load
regulation
partition
real
time
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CN202111263867.2A
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Chinese (zh)
Inventor
邢健
包铁
刘杨
何蕾
刘闯
袁启海
马桂尧
王建国
蒙永平
徐瑞林
车权
李军
张明媚
刘育明
张颖
詹航
李登峰
李小菊
刘霜
杨旼才
夏翰林
司萌
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Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd
State Grid Corp of China SGCC
Beijing Kedong Electric Power Control System Co Ltd
State Grid Chongqing Electric Power Co Ltd
State Grid Electric Power Research Institute
Original Assignee
Electric Power Research Institute of State Grid Chongqing Electric Power Co Ltd
State Grid Corp of China SGCC
Beijing Kedong Electric Power Control System Co Ltd
State Grid Chongqing Electric Power Co Ltd
State Grid Electric Power Research Institute
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Priority to CN202111263867.2A priority Critical patent/CN116031891A/en
Publication of CN116031891A publication Critical patent/CN116031891A/en
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Abstract

The invention discloses a method and a system for flexibly aggregating and regulating loads at a client side, wherein the method comprises the following steps: acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area, and acquiring real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance; determining a regulation instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition; and carrying out rationality verification on the regulation and control instruction, after verification is passed, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition, and carrying out load regulation and control on the load resources through the energy controllers. The advantages are that: the power grid dynamic balance regulation function is developed by supporting a power grid regulation side to regulate load resources, improving response of a demand side and the like.

Description

Client side flexible load aggregation regulation and control method and system
Technical Field
The invention relates to a client side flexible load aggregation regulation and control method and system, and belongs to the technical field of electric power and electricity analysis.
Background
In recent years, as large-scale renewable energy is accessed into a power grid, the physical characteristics, the operation mode and the functional form of the power grid are deeply changed, and the characteristics of randomness, intermittence and the like of renewable energy power generation cause the power quality of the power grid to be reduced, the peak-valley difference to be gradually increased, the wind and light discarding pressure to be increased, and the dynamic balance of the power grid supply and demand is faced with serious challenges. In the current stage of the power grid, means such as deep peak regulation of thermal power, local demand side response and the like are adopted to develop dynamic balance adjustment of the power grid, the requirements of further increasing the generation scale and the duty ratio of renewable energy resources in the future are difficult to meet, the source network load storage wide area collaborative friendly interaction is a necessary choice for the development of a new generation of power system, and the development of client side load scheduling control is the development direction of power grid regulation and control operation. The flexible load regulation and control capability of the electric automobile, the client side energy storage and the like are fully utilized to participate in the operation control and dynamic balance of the power grid, the power consumption capability of the power grid on renewable energy generation is certainly improved, and the energy production revolution of China is promoted.
The novel rapid load increase causes the running pressure of the power grid, the requirements are guided and managed through a marketization mechanism, the regulation potential of flexible loads on the client side such as electric vehicles, energy storage and the like is converted into real regulation resources in a load aggregation mode, and the real regulation resources participate in the marketization power grid dynamic balance regulation service, so that the novel rapid load increase is a real requirement of a power grid dispatching control system.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a client side flexible load aggregation regulation and control method and system.
In order to solve the technical problems, the invention provides a client side flexible load aggregation regulation method, which comprises the following steps:
acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area, and acquiring real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
determining a regulation instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and carrying out rationality verification on the regulation and control instruction, after verification is passed, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition, and carrying out load regulation and control on the load resources through the energy controllers.
Further, the acquiring real-time load monitoring data of the load resources of each partition after the load resources of the whole area are partitioned and classified in advance includes:
acquiring all load resources of the whole area;
partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index;
aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data;
and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
Further, the method further comprises the following steps:
acquiring historical load monitoring data and historical regulation and control instructions of a certain partition;
reporting the history monitoring data and the history regulation instruction to a power transaction center platform;
the method comprises the steps of obtaining a regulation demand quantity generated by an electric power transaction center platform according to a historical regulation instruction and obtaining corresponding time of the regulation demand, calculating actual execution conditions according to the regulation demand quantity and the corresponding time of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
Further, the determining a regulation command according to the load capacity of the load resource of the whole area, the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition includes:
determining partition internal regulation priority according to the category of the load resource of each partition, and determining partition regulation priority according to the geographic information of each partition;
determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
and determining a regulation instruction according to the current load real-time adjustable quantity of a certain partition, the regulation demand quantity of the partition and the partition internal regulation priority of the corresponding partition.
Further, the method further comprises the following steps:
acquiring minute-level real-time load monitoring data of the load equipment through an energy controller, dynamically displaying the minute-level real-time load monitoring data through a system operation interface, and storing the minute-level real-time load monitoring data in a local database; and reporting the minute-level real-time load monitoring data to a power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to a power transaction center daily as a settlement basis.
Further, the classifying the partitioned load resources by using a predetermined classification index includes:
the method comprises the steps of obtaining a classification index and a regulation and control scene, determining the classification index as a response time classification index, classifying monomer loads in partitioned load resource data according to the response time classification index and the regulation and control scene, and classifying the single loads into response levels of 1 to 6 levels according to the response time.
Further, the verifying the rationality of the control command, after the verification is passed, issuing the control command to an energy controller corresponding to the load resource classified by one or more local areas in the partition, and performing load control on the load resource of the local area through the energy controller, including:
carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance;
feeding back the verification failure instruction to the power grid regulation system;
and issuing the checked instruction to an energy controller in the partition for execution, regulating and controlling different classified load resources in the partition through the energy controller, and displaying the execution condition in a real-time monitoring module.
A client-side flexible load aggregation regulation system, comprising:
the acquisition module is used for acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area and acquiring the real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
the instruction determining module is used for determining a regulation and control instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and the load regulation and control module is used for carrying out rationality verification on the regulation and control instruction, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition after the verification is passed, and carrying out load regulation and control on the load resources through the energy controllers.
Further, the acquisition module comprises a partition and classification module, and is used for acquiring all load resources of the whole area; partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index; aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data; and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
Further, the method further comprises the following steps:
the settlement display module is used for acquiring historical monitoring data of the monitoring index of the local area load resource and a historical regulation instruction; reporting the history monitoring data and the history regulation instruction to a power transaction center platform; the method comprises the steps of obtaining the regulation demand quantity and the corresponding moment of the regulation demand, which are generated by an electric power transaction center platform according to historical regulation instructions, calculating actual execution conditions according to the regulation demand quantity and the corresponding moment of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
Further, the instruction determining module includes:
the priority determining module is used for determining the internal regulation and control priority of the partition according to the category of the load resource of each partition and determining the partition regulation and control priority according to the geographic information of each partition;
the real-time adjustable quantity determining module is used for determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
the regulation and control demand determining module is used for determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
the regulation and control instruction determining module is used for determining a regulation and control instruction according to the current load real-time adjustable quantity of a certain partition, the regulation and control demand quantity of the partition and the partition internal regulation and control priority of the corresponding partition
Further, the obtaining module includes:
the data acquisition module is used for acquiring the minute-level real-time load monitoring data of the load equipment through the energy controller, dynamically displaying the real-time load monitoring data through a system operation interface and storing the real-time load monitoring data in the local database;
the data reporting module is used for reporting the real-time load monitoring data to the power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to the power transaction center daily as a settlement basis.
Further, the partitioning and classifying module includes:
the classification module is used for acquiring the classification index and the regulation and control scene, determining the classification index as a response time classification index, classifying the single load in the partitioned load resource data according to the response time classification index and the regulation and control scene, and classifying the single load into response levels of 1 to 6 levels according to the response time.
Further, the load regulation module includes:
the instruction checking module is used for carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance; feeding back the verification failure instruction to the power grid regulation system;
and the regulation and control execution module is used for issuing the checked instruction to the energy controllers in the subareas for execution, regulating and controlling the load resources in the subareas in different classifications through the energy controllers, and displaying the execution conditions in the real-time monitoring module.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods.
A computing device, comprising,
one or more processors, memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods.
The invention has the beneficial effects that:
extracting real-time monitoring load data from load resources of the whole area, and determining a regulation and control instruction by combining the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition, so as to support a power grid regulation side to regulate and control the load resources; and the dynamic balance adjusting function of the power grid is developed by means of improving the response of the demand side and the like.
Drawings
FIG. 1 is a flow diagram of a client side flexible load aggregation regulation method;
FIG. 2 is a functional architecture diagram of a client side flexible load aggregation regulation system.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
As shown in fig. 1, the flexible load aggregation regulation method at the client side includes:
acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area, and acquiring real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
determining a regulation instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and carrying out rationality verification on the regulation and control instruction, after verification is passed, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition, and carrying out load regulation and control on the load resources through the energy controllers.
The classification index is response time.
The monitoring index of the local area load resource data comprises the following steps: and (5) managing indexes such as power, load, charge and discharge states and the like of the load resource data.
The obtaining real-time load monitoring data of the load resources of each partition after the load resources of the whole area are partitioned and classified in advance comprises the following steps:
acquiring all load resources of the whole area;
partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index;
aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data;
and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
Further comprises: acquiring historical load monitoring data and historical regulation and control instructions of a certain partition;
reporting the history monitoring data and the history regulation instruction to a power transaction center platform;
the method comprises the steps of obtaining a regulation demand quantity generated by an electric power transaction center platform according to a historical regulation instruction and obtaining corresponding time of the regulation demand, calculating actual execution conditions according to the regulation demand quantity and the corresponding time of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
The regulation and control instruction comprises: regulating and controlling information such as power, time, target equipment and the like.
The settlement information includes: regulating and controlling execution amount, deviation checking information and settlement cost.
Further comprises: acquiring minute-level real-time load monitoring data of the load equipment through an energy controller, dynamically displaying the minute-level real-time load monitoring data through a system operation interface, and storing the minute-level real-time load monitoring data in a local database; and reporting the minute-level real-time load monitoring data to a power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to a power transaction center daily as a settlement basis.
The determining a regulation command according to the load capacity of the load resource of the whole area, the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition comprises the following steps:
determining partition internal regulation priority according to the category of the load resource of each partition, and determining partition regulation priority according to the geographic information of each partition;
determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
and determining a regulation instruction according to the current load real-time adjustable quantity of a certain partition, the regulation demand quantity of the partition and the partition internal regulation priority of the corresponding partition.
The classifying the partitioned load resource data according to the classification index includes: acquiring response time classification indexes and regulation scenes, classifying the single loads in the partitioned load resource data according to the response time classification indexes and the regulation scenes, and classifying the single loads into response levels of 1 to 6 levels according to the response time from small to large according to the following table:
Figure BDA0003324077530000071
respectively aggregating the partitioned load resource data and the classified resource data to determine partitioned aggregate data and classified aggregate data;
and superposing the load classification with real-time monitoring data, generating load capacity according to the response level, and reporting the load capacity to the power grid regulation and control application.
The method for verifying the rationality of the control instruction comprises the steps of issuing the control instruction to an energy controller corresponding to the load resources after one or more local areas in the subarea are classified after verification is passed, and performing load control on the load resources of the local areas through the energy controller, wherein the method comprises the following steps:
carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance;
feeding back the verification failure instruction to the power grid regulation system;
and issuing the checked instruction to an energy controller in the partition for execution, regulating and controlling different classified load resources in the partition through the energy controller, and displaying the execution condition in a real-time monitoring module.
The invention also provides a client side flexible load aggregation regulation and control system, which comprises:
the acquisition module is used for acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area and acquiring the real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
the instruction determining module is used for determining a regulation and control instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and the load regulation and control module is used for carrying out rationality verification on the regulation and control instruction, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition after the verification is passed, and carrying out load regulation and control on the load resources through the energy controllers.
Further, the acquisition module comprises a partition and classification module, and is used for acquiring all load resources of the whole area; partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index; aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data; and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
Further, the method further comprises the following steps:
the settlement display module is used for acquiring historical monitoring data of the monitoring index of the local area load resource and a historical regulation instruction; reporting the history monitoring data and the history regulation instruction to a power transaction center platform; the method comprises the steps of obtaining the regulation demand quantity and the corresponding moment of the regulation demand, which are generated by an electric power transaction center platform according to historical regulation instructions, calculating actual execution conditions according to the regulation demand quantity and the corresponding moment of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
Further, the instruction determining module includes:
the priority determining module is used for determining the internal regulation and control priority of the partition according to the category of the load resource of each partition and determining the partition regulation and control priority according to the geographic information of each partition;
the real-time adjustable quantity determining module is used for determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
the regulation and control demand determining module is used for determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
the regulation and control instruction determining module is used for determining a regulation and control instruction according to the current load real-time adjustable quantity of a certain partition, the regulation and control demand quantity of the partition and the partition internal regulation and control priority of the corresponding partition
Further, the obtaining module includes:
the data acquisition module is used for acquiring the minute-level real-time load monitoring data of the load equipment through the energy controller, dynamically displaying the real-time load monitoring data through a system operation interface and storing the real-time load monitoring data in the local database;
the data reporting module is used for reporting the real-time load monitoring data to the power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to the power transaction center daily as a settlement basis.
The partition and classification module comprises:
the classification module is used for acquiring the classification index and the regulation and control scene, determining the classification index as a response time classification index, classifying the single load in the partitioned load resource data according to the response time classification index and the regulation and control scene, and classifying according to the response level from 1 to 6 levels of response time according to the following table:
Figure BDA0003324077530000091
Figure BDA0003324077530000101
respectively aggregating the partitioned load resource data and the classified resource data to determine partitioned aggregate data and classified aggregate data;
and superposing the load classification with real-time monitoring data, generating load capacity according to the response level, and reporting the load capacity to the power grid regulation and control application.
Further, the load regulation module includes:
the instruction checking module is used for carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance; feeding back the verification failure instruction to the power grid regulation system;
and the regulation and control execution module is used for issuing the checked instruction to the energy controllers in the subareas for execution, regulating and controlling the load resources in the subareas in different classifications through the energy controllers, and displaying the execution conditions in the real-time monitoring module.
The corresponding invention also provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods.
The corresponding invention also provides a computing device comprising,
one or more processors, memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods.
As shown in fig. 2, the invention extracts real-time monitoring load data from the regulatable load resources through the load aggregation operation management system, and combines the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition generated after the classified aggregation of the load partitions to report to the power grid regulation system, and the power grid regulation system determines a regulation command and transmits the regulation command to the regulatable load resources through the load aggregation operation management system to regulate the load resources. The load aggregation operation management system is used for managing the load resource marketing model, classifying the whole load resource in a partitioning way, aggregating the real-time load monitoring data of the load resource, monitoring the real-time load monitoring data of the whole load resource in real time, and sending a specific regulation and control instruction to a specific single load through the energy controller according to the regulation and control instruction sent by the power grid dispatching system. Furthermore, the control potential of flexible loads of the electric automobile, energy storage and other clients is converted into real control resources in a load aggregation mode and participates in dynamic balance control service of the marketized power grid. The dynamic balance adjustment function of the power grid is developed through means such as guiding management through a marketization mechanism, improving demand side response and the like, and the wide-area collaborative friendly interaction of source network and load storage is realized. And constructing a load condition visualization function, analyzing the load regulation data, and realizing the visual display of the load conditions with different time-frequency characteristics.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.

Claims (16)

1. The method for flexibly controlling the load aggregation of the client side is characterized by comprising the following steps of:
acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area, and acquiring real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
determining a regulation instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and carrying out rationality verification on the regulation and control instruction, after verification is passed, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition, and carrying out load regulation and control on the load resources through the energy controllers.
2. The method for flexibly aggregating and controlling load on a client side according to claim 1, wherein the acquiring real-time load monitoring data of load resources of each partition after the partition and classification of load resources of an entire area in advance comprises:
acquiring all load resources of the whole area;
partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index;
aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data;
and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
3. The client-side flexible load aggregation regulation method according to claim 2, further comprising:
acquiring historical load monitoring data and historical regulation and control instructions of a certain partition;
reporting the history monitoring data and the history regulation instruction to a power transaction center platform;
the method comprises the steps of obtaining a regulation demand quantity generated by an electric power transaction center platform according to a historical regulation instruction and obtaining corresponding time of the regulation demand, calculating actual execution conditions according to the regulation demand quantity and the corresponding time of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
4. The method for flexibly aggregating and controlling loads at client side according to claim 1, wherein the determining the control command according to the load capacity of the load resource of the whole area, the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition comprises:
determining partition internal regulation priority according to the category of the load resource of each partition, and determining partition regulation priority according to the geographic information of each partition;
determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
and determining a regulation instruction according to the current load real-time adjustable quantity of a certain partition, the regulation demand quantity of the partition and the partition internal regulation priority of the corresponding partition.
5. The client-side flexible load aggregation regulation method according to claim 1, further comprising:
acquiring minute-level real-time load monitoring data of the load equipment through an energy controller, dynamically displaying the minute-level real-time load monitoring data through a system operation interface, and storing the minute-level real-time load monitoring data in a local database; and reporting the minute-level real-time load monitoring data to a power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to a power transaction center daily as a settlement basis.
6. The method for flexible load aggregation adjustment and control on a client side according to claim 2, wherein classifying the partitioned load resources by using a predetermined classification index comprises:
the method comprises the steps of obtaining a classification index and a regulation and control scene, determining the classification index as a response time classification index, classifying monomer loads in partitioned load resource data according to the response time classification index and the regulation and control scene, and classifying the single loads into response levels of 1 to 6 levels according to the response time.
7. The method for flexibly aggregating and controlling load on client side according to claim 1, wherein the verifying rationality of the control command, after the verification, issues the control command to the energy controllers corresponding to the load resources classified by one or more local areas in the partition, and the controlling load of the load resources of the local areas by the energy controllers comprises:
carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance;
feeding back the verification failure instruction to the power grid regulation system;
and issuing the checked instruction to an energy controller in the partition for execution, regulating and controlling different classified load resources in the partition through the energy controller, and displaying the execution condition in a real-time monitoring module.
8. A client-side flexible load aggregation regulation system, comprising:
the acquisition module is used for acquiring the load capacity of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance, acquiring the load capacity of the load resource of the whole area and acquiring the real-time load monitoring data of the load resource of each partition after the load resource of the whole area is partitioned and classified in advance;
the instruction determining module is used for determining a regulation and control instruction according to the load capacity of the load resources of the whole area, the load capacity of the load resources of each partition and the real-time load monitoring data of the load resources of each partition;
and the load regulation and control module is used for carrying out rationality verification on the regulation and control instruction, issuing the regulation and control instruction to one or more energy controllers corresponding to the classified load resources in the partition after the verification is passed, and carrying out load regulation and control on the load resources through the energy controllers.
9. The client-side flexible load aggregation regulation system according to claim 8, wherein the acquisition module comprises a partition and classification module for acquiring all load resources of the whole area; partitioning all load resources of the whole area by utilizing a predetermined geographic distribution index, and classifying the partitioned load resources by utilizing a predetermined classification index; aggregating the real-time load data of the classified load resources to determine classified aggregate real-time data; and aggregating all the classified aggregation real-time data in each partition to obtain the partition aggregation real-time data.
10. The client-side flexible load aggregation regulation system according to claim 8, further comprising:
the settlement display module is used for acquiring historical monitoring data of the monitoring index of the local area load resource and a historical regulation instruction; reporting the history monitoring data and the history regulation instruction to a power transaction center platform; the method comprises the steps of obtaining the regulation demand quantity and the corresponding moment of the regulation demand, which are generated by an electric power transaction center platform according to historical regulation instructions, calculating actual execution conditions according to the regulation demand quantity and the corresponding moment of the regulation demand by comparing historical monitoring data, determining settlement information according to the actual execution conditions, and performing settlement display on the settlement information.
11. The client-side flexible load aggregation regulation system according to claim 8, wherein the instruction determination module comprises:
the priority determining module is used for determining the internal regulation and control priority of the partition according to the category of the load resource of each partition and determining the partition regulation and control priority according to the geographic information of each partition;
the real-time adjustable quantity determining module is used for determining the current load real-time adjustable quantity of each partition according to the load capacity of the load resource of each partition and the real-time load monitoring data of the load resource of each partition;
the regulation and control demand determining module is used for determining the regulation and control demand of each partition according to the load capacity of the load resources of the whole area, the real-time load monitoring data of the load resources of all the partitions and the partition regulation and control priority;
the regulation and control instruction determining module is used for determining a regulation and control instruction according to the current load real-time adjustable quantity of a certain partition, the regulation and control demand quantity of the partition and the partition internal regulation and control priority of the corresponding partition.
12. The client-side flexible load aggregation regulation system according to claim 8, wherein the acquisition module comprises:
the data acquisition module is used for acquiring the minute-level real-time load monitoring data of the load equipment through the energy controller, dynamically displaying the real-time load monitoring data through a system operation interface and storing the real-time load monitoring data in the local database;
the data reporting module is used for reporting the real-time load monitoring data to the power grid regulation and control system as a regulation and control instruction basis, and reporting the historical data to the power transaction center daily as a settlement basis.
13. The client-side flexible load aggregation regulation system according to claim 9, wherein the partitioning and classifying module comprises:
the classification module is used for acquiring the classification index and the regulation and control scene, determining the classification index as a response time classification index, classifying the single load in the partitioned load resource data according to the response time classification index and the regulation and control scene, and classifying the single load into response levels of 1 to 6 levels according to the response time.
14. The client-side flexible load aggregation regulation system according to claim 8, wherein the load regulation module comprises:
the instruction checking module is used for carrying out rationality check on the received regulation and control instruction to ensure that the regulation and control meets the requirements of load capacity, power and speed performance; feeding back the verification failure instruction to the power grid regulation system;
and the regulation and control execution module is used for issuing the checked instruction to the energy controllers in the subareas for execution, regulating and controlling the load resources in the subareas in different classifications through the energy controllers, and displaying the execution conditions in the real-time monitoring module.
15. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
16. A computing device, comprising,
one or more processors, memory, and one or more programs, wherein one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing any of the methods of claims 1-7.
CN202111263867.2A 2021-10-27 2021-10-27 Client side flexible load aggregation regulation and control method and system Pending CN116031891A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116914764A (en) * 2023-09-12 2023-10-20 国网山西省电力公司营销服务中心 Load response control method and system based on user side resource differentiation constraint

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116914764A (en) * 2023-09-12 2023-10-20 国网山西省电力公司营销服务中心 Load response control method and system based on user side resource differentiation constraint
CN116914764B (en) * 2023-09-12 2024-01-12 国网山西省电力公司营销服务中心 Load response control method and system based on user side resource differentiation constraint

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