PSO Algorithm-Based Capacity Optimization Method for Synchronous Condensers

被引：0

作者：

Liu, Mingyang ^{[1
]}

Zhu, Guangjie ^{[1
]}

Tian, Chunsun ^{[1
]}

Xiao, Yang ^{[2
]}

Wang, Hua ^{[1
]}

机构：

[1] State Grid Henan Elect Power Res Inst, Zhengzhou, Peoples R China

[2] China Elect Power Res Inst, Beijing, Peoples R China

来源：

2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA | 2023年

关键词：

synchronous condenser; capacity optimization; DC receiving end system; voltage stability; particle swarm optimization; WIND;

D O I：

10.1109/ICPSASIA58343.2023.10294973

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The AC-DC hybrid power system is faced with severe voltage stability challenges. Synchronous condensers(SC) can provide dynamic reactive power support and reduce the risk of DC commutation failure, thus attracts wide attention to improve systems' strength. A capacity optimization method for SCs is proposed in this paper, based on Particle Swarm Optimization(PSO) algorithm. Firstly, the capacity optimization model of SC is established. Secondly, the PSO algorithm is applied to solve the optimization model. To improve the computation efficiency, the MatLab/DIgSILENT combined simulation is carried out, which is based on file interaction. Finally, the effectiveness and computational efficiency of the proposed method are verified by simulation.

引用

页码：83 / 88

页数：6

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