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Virtual power plant energy management and control optimization method and system based on end-side cloud architecture

A technology of virtual power plant and optimization method, applied in the direction of system integration technology, information technology support system, resources, etc., can solve the problems of ignoring the potential of flexible load regulation on the energy consumption side, the response speed of large computing pressure information, etc., and achieve perfect energy optimal dispatching model, relieve calculation pressure, and improve operating efficiency

Pending Publication Date: 2021-11-26
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing virtual power plants are centralized operating mechanisms. All information and data are aggregated to the cloud center and processed by the cloud center. Such an operating mechanism has caused huge computing pressure on the cloud center and delayed the response speed of information.
In addition, the existing virtual power plants usually only regulate the distributed power generation on the power supply side in the process of optimization and regulation, while ignoring the regulation and control potential of flexible loads on the energy consumption side.

Method used

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  • Virtual power plant energy management and control optimization method and system based on end-side cloud architecture
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  • Virtual power plant energy management and control optimization method and system based on end-side cloud architecture

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Embodiment Construction

[0086] In order to better understand the present invention, the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0087] Such as figure 1 As shown, a virtual power plant energy management and control optimization method based on the device-edge-cloud architecture includes the following steps:

[0088] S1: The virtual power plant includes the following flexible resources: photovoltaic panels, wind turbines, micro gas turbines, energy storage devices, and flexible loads; the flexible loads include electric vehicles and air conditioners; for different flexible resources, in different regions, Build multiple aggregated flexible resource clusters;

[0089] S2: The intelligent terminal collects real-time output data, load demand, and equipment characteristic parameter information of various flexible resources, and transmits the data information collected by the intelligent terminal to the edge server through the wi...

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Abstract

The invention relates to the technical field of virtual power plant energy management and control optimization, in particular to a virtual power plant energy management and control optimization method and system based on end-side cloud architecture. Based on an operation mechanism of the end-side cloud architecture, distributed control architecture is adopted, the computing pressure of a cloud center is greatly relieved, the operation efficiency of the system is improved, meanwhile, the system further considers the regulation potential of a user-side flexible load, an energy optimization scheduling model of the system is further improved, and the utilization efficiency of energy is improved. According to the method and the system, a plurality of flexible resource clusters are constructed in different areas for different flexible resources, so that the scheduling control of a virtual power plant on each flexible resource can be enhanced.

Description

technical field [0001] The present invention relates to the technical field of energy management and control optimization of virtual power plants, in particular to a method and system for energy management and control optimization of virtual power plants based on a device-edge-cloud architecture. Background technique [0002] Under the background of global energy resource shortage and environmental pollution, vigorously developing green, low-carbon and sustainable energy has become the consensus of all countries in the world. In recent years, with the strong support of the government, my country's renewable energy has developed rapidly, and the installed capacity of distributed renewable energy represented by wind energy and solar energy has increased year by year. However, due to the characteristics of small capacity, intermittent, and decentralized nature of distributed energy, it is difficult to independently participate in the operation of the electricity market. Becaus...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/46G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/008H02J3/466G06Q10/04G06Q10/06312G06Q50/06H02J2203/10H02J2203/20H02J2300/24H02J2300/28H02J2300/40Y02E10/56Y02E40/70Y04S10/50
Inventor 韩帅卢健斌张旻钰孙乐平郭小璇
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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