Research on Power Grid Data Stability Model under Distributed Generation System Access

The study studied the optimal load balancing control method after the distributed power source was connected to the grid to improve the stability of the network operation. Starting from the perspective of the power market, this project studied the mechanism of the effect of multiple power access on the stability of the power network. Factors affecting the stability of the power grid operation were proposed. The particle swarm algorithm was used to achieve load balancing control. It was proposed to achieve power balance at each node in the network and reduce the degree of fluctuation of the system. A power network stability analysis method that takes into account the characteristics of distributed power sources was established and simulated. Through experimental verification, the research results of this project can effectively improve the stability of the power network under the condition of distributed power access and reduce the safety hazards of the power system. The research results of the project will lay a theoretical and technical support for the coordinated development of new energy and large power grids, and promote the construction of smart grids in China.

Authors

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/auteee62881.2024.10869735
Primary Topic
Power Systems and Technologies
Type
article
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article

Research on Power Grid Data Stability Model under Distributed Generation System Access

Yating Wang, Hui Lei, Jinmei Wen
Power Systems and Technologies
article

Research on Power Grid Data Stability Model under Distributed Generation System Access

Yating Wang, Hui Lei, Jinmei Wen
article en

Abstract

The study studied the optimal load balancing control method after the distributed power source was connected to the grid to improve the stability of the network operation. Starting from the perspective of the power market, this project studied the mechanism of the effect of multiple power access on the stability of the power network. Factors affecting the stability of the power grid operation were proposed. The particle swarm algorithm was used to achieve load balancing control. It was proposed to achieve power balance at each node in the network and reduce the degree of fluctuation of the system. A power network stability analysis method that takes into account the characteristics of distributed power sources was established and simulated. Through experimental verification, the research results of this project can effectively improve the stability of the power network under the condition of distributed power access and reduce the safety hazards of the power system. The research results of the project will lay a theoretical and technical support for the coordinated development of new energy and large power grids, and promote the construction of smart grids in China.

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