Source-Grid-Load-Storage Participates in the Research on Peak Regulation Strategies in the Power Market

Against the backdrop of the large-scale integration of new energy sources and the connection of a large number of users, the traditional power system architecture is facing new challenges. Based on the complex system theory, this research adopts the multi-agent technology to design a peak shaving control strategy with the coordinated participation of power generation sources, power grids, power loads, and energy storage systems. Through the peak shaving control mechanism, a win-win situation is achieved between the grid's peak shaving control requirements and the interests of various market entities. This paper not only provides the theoretical basis for peak shaving control but also verifies the effectiveness of the proposed strategy through simulation.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/isneet64164.2024.10956087
Primary Topic
Power Systems and Renewable Energy
Type
article
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Source-Grid-Load-Storage Participates in the Research on Peak Regulation Strategies in the Power Market

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Source-Grid-Load-Storage Participates in the Research on Peak Regulation Strategies in the Power Market

Haidong Chen, Ning Qiao, Jing Zhang, Chao Zhang, Bo Ning, Jisheng Zhang
article en

Abstract

Against the backdrop of the large-scale integration of new energy sources and the connection of a large number of users, the traditional power system architecture is facing new challenges. Based on the complex system theory, this research adopts the multi-agent technology to design a peak shaving control strategy with the coordinated participation of power generation sources, power grids, power loads, and energy storage systems. Through the peak shaving control mechanism, a win-win situation is achieved between the grid's peak shaving control requirements and the interests of various market entities. This paper not only provides the theoretical basis for peak shaving control but also verifies the effectiveness of the proposed strategy through simulation.

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