基于改进二阶振荡粒子群算法的dg配电网无功优化控制方法研究

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS Journal of Control Science and Engineering Pub Date : 2023-07-12 DOI:10.1155/2023/5813277
Youming Cai, Jingmin Liu, Ning Gao
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引用次数: 0

摘要

随着分布式发电在配电网中的日益普及,配电网原有的网络结构发生了变化。此外,可再生能源发电的随机性和间歇性也会对配电网的电压和潮流产生影响。针对这一问题,提出了一种基于带收缩因子的二阶振荡粒子群算法的dg配电网无功优化控制方法。考虑到配电网的经济运行,提出的控制方法通过传统的静态无功补偿装置实现dg和蓄电池组的协调运行,从而提高配电网的电压质量,降低系统网损。同时,为了提高多目标算法的速度和收敛性,提出了一种改进的二阶振荡粒子群算法。最后,利用MATLAB/Simulink在IEEE 33总线配电网上验证了该控制方法在静态和动态两种情况下的有效性。
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Research on Reactive Power Optimization Control Method for Distribution Network with DGs Based on Improved Second-Order Oscillating PSO Algorithm
With the increasing penetration of distributed generation (DG) in the distribution network, the original network structure of the distribution network has been changed. In addition, the randomness and intermittency of renewable power generation will also have an impact on the voltage and power flow of the distribution network. To solve this problem, this paper proposes a reactive power optimization control method for distribution network with DGs based on second-order oscillating particle swarm optimization (PSO) algorithm with a constriction factor. Considering the economic operation of the distribution network, the proposed control method realizes the coordinated operation of the DGs and battery group with the conventional static reactive power compensation device, so as to improve the voltage quality of the distribution network and reduce the system network loss. At the same time, an improved second-order oscillating PSO algorithm is proposed to improve the speed and convergence of the multiobjective algorithm. Finally, the effectiveness of the proposed control method is verified by using MATLAB/Simulink on IEEE 33 bus distribution network with DGs in both static and dynamic situations.
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来源期刊
Journal of Control Science and Engineering
Journal of Control Science and Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
4.70
自引率
0.00%
发文量
54
审稿时长
19 weeks
期刊介绍: Journal of Control Science and Engineering is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of control science and engineering.
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