Research on Optimal Configuration of Distributed Power GenerationBased on Particle Swarm Optimization Algorithm

doi:10.3969/j.issn.1008-0198.2023.03.010

Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (3): 64-69.doi: 10.3969/j.issn.1008-0198.2023.03.010

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Research on Optimal Configuration of Distributed Power GenerationBased on Particle Swarm Optimization Algorithm

YANG Jin¹, SONG Chun¹, YANG Nan^2,3

1. Yunnan Power Grid Company Dali Power Supply Bureau , Dali 671000,China;
2. Hubei Provincial Key Laboratory for Operation and Control of Cascade Hydropower Stations, Yichang 443002,China;
3. China Three Gorges University,Yichang 443002,China

Received:2023-03-20 Revised:2023-05-04 Online:2023-06-25 Published:2023-06-25

Abstract

Abstract: With a large number of distributed power sources and electric vehicle clusters connected to the distribution network, the types of loads are diversified. Due to the randomness and volatility of distributed generation, it brings great challenges to the planning of distribution network. Therefore, the planning method of diversified load access to adapt to distribution network is proposed. Firstly, the distribution network planning model is established with the goal of maximizing the capacity of distributed generation allowed to access the line. Then, by accessing distributed power supply at each node, a large number of alternative schemes are generated.Finally, the particle swarm optimization algorithm is used to select the optimal access scheme for the generated massive access scheme to guide the planning of the distribution network. The simulation results of practical examples verify the validity and rationality of the model.

Key words: distribution network planning, capacity configuration, distributed power supply, particle swarm optimization algorithm

CLC Number:

TM715

YANG Jin, SONG Chun, YANG Nan. Research on Optimal Configuration of Distributed Power GenerationBased on Particle Swarm Optimization Algorithm[J]. Hunan Electric Power, 2023, 43(3): 64-69.

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Research on Optimal Configuration of Distributed Power GenerationBased on Particle Swarm Optimization Algorithm

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