Multi-objective reactive power optimization in power system based on improved PSO-OSA algorithm

被引：0

作者：

Song Bo ^{[1
]}

Cao Yujie ^{[2
]}

Zhang Xiang ^{[3
]}

Wang Yelin ^{[2
]}

Li Ning ^{[2
,4
]}

机构：

[1] Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian, Shaanxi, Peoples R China

[2] Xian Univ Technol, Sch Automat & Informat Engn, Xian, Shaanxi, Peoples R China

[3] China Ship Dev & Design Ctr, Wuhan 430064, Hubei, Peoples R China

[4] Xian Kenuo Network & Informat Secur Technol Inst, Xian, Shaanxi, Peoples R China

来源：

PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Optimal reactive power; Multi-objective probelem; Particle swarm optimization algorithm; Oriented search algorithm;

D O I：

10.1109/iciea.2019.8834078

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

With the rapid development of Chinese economy, the power industry is playing a more and more important role in the development of Chinese economy. The optimal reactive power in the power system plays an important role in the voltage stability of the power system and reducing the loss of active power. The calculation results of particle swarm optimization algorithm, oriented search algorithm and PSO - OSA hybrid algorithm in reactive power optimization of power system is compared, and the performance of the proposed method has been tested on the IEEE 30-bus systems in this paper. The simulation results show that the proposed method is able to produce well distributed Pareto optimal solutions for the optimal reactive power problem.

引用

页码：1514 / 1519

页数：6

共 16 条

[1]

Cai Bo, 2017, POWER SYSTEM PROTECT, V45, P77

[2]

Cen Zhengjun, 2015, REACTIVE POWER OPTIM

[3]

[陈前宇 Chen Qianyu], 2014, [电力系统保护与控制, Power System Protection and Control], V42, P129

[4]

Deng Mingli, 2015, ELECTROTECHNICAL APP, V34, P25

[5]

Guo Guanghui, 2016, RES DISTRIBUTION NET

[6]

Guo Yao, 2016, HEILONGJIANG SCI TEC, P94

[7]

[简献忠 Jian Xianzhong], 2015, [控制工程, Control Engineering of China], V22, P113

[8]

[李鸿鑫 Li Hongxin], 2013, [电网技术, Power System Technology], V37, P1651

[9]

Li Hongxin, 2013, Proceedings of the CSEE, V33, P71

[10]

MOHAMMADMORADI H, 2017, N CHINA ELECT POWER, P27, DOI DOI 10.1145/3128128.3128133

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