并联粒子群优化无功电压控制可靠性验证

Y. Fukuyama
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引用次数: 6

摘要

本文提出了一种并行粒子群优化(PSO)方法,用于电力系统的无功和电压控制,验证了控制的可靠性。考虑到可再生能源的高度渗透和电力系统的放松管制,电力流动可能突然变化,控制中心的操作员必须控制更大范围电力系统的电压。因此,需要VVC来缩短控制间隔和处理更大规模的电力系统。这个问题的解决方案之一是并行和分布式计算的应用。由于电力系统是社会的基础设施之一,电压的可持续控制至关重要,对电压控制的可靠性要求很高。本文不仅研究了并行计算的快速计算,而且研究了并行粒子群算法在VVC中的可靠性。研究结果对粒子群算法在实际VVC操作中的并行计算具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel particle swarm optimization for reactive power and voltage control verifying dependability
This paper presents a parallel particle swarm optimization (PSO) for reactive power and voltage control (Volt/Var Control: VVC) in electric power systems verifying dependability of the control. Considering high penetration of renewable energies and deregulation of power systems, electric power flows can change suddenly and operators in control centers have to control voltage in wider power systems. Therefore, VVC is required to shorten the control interval and handle larger-scale power systems. One of the solutions for this problem is applications of parallel and distributed computing. Since electric power systems is one of the infrastructures of social community, sustainable voltage control is crucial and dependability is strongly required for VVC. This paper investigates not only fast computation by parallel computation but also dependability of parallel PSO for VVC. The results are meaningful for practical parallel computation by PSO in actual VVC operations.
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