A Hierarchical Scheme for Voltage and Reactive Power Control with Predator-Prey Brain Storm Optimization

Shota Ogawa, H. Mori
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引用次数: 1

Abstract

This paper proposes a new method for hierarchical Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO) of high performance evolutionary computation. The objective of VQC is to maintain nodal voltage profiles within certain bounds. Recently, the penetration of renewables has been widely spread in power systems, which has brought about large fluctuations on nodal voltage and system frequency due to weather-dependable generation output. In this paper, an efficient VQC method is proposed with three strategies, i.e., hierarchical optimization, PPBSO and parallel computation of OpenMP. The proposed method is tested in the IEEE 57-node system.
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基于“捕食者-猎物”头脑风暴优化的电压和无功控制分层方案
提出了一种基于高性能进化计算的“捕食者-猎物”头脑风暴优化(PPBSO)的电压无功分层控制(VQC)新方法。VQC的目标是将节点电压分布保持在一定范围内。近年来,可再生能源在电力系统中的普及程度越来越高,由于发电出力不可靠,导致节点电压和系统频率出现较大波动。本文采用层次优化、PPBSO和OpenMP并行计算三种策略,提出了一种高效的VQC方法。该方法在IEEE 57节点系统中进行了测试。
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