基于灵敏度指数和粒子群算法的输电网SVC和TCSC优化配置

Muhammad Nadeem, M. Z. Zeb, K. Imran, Abdul Kashif Janjua
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引用次数: 5

摘要

由于负荷需求的增加和突发事件的发生,电力系统的运行通常接近其最大负载能力点。因此,避免电压崩溃和保持电力系统的稳定是电力系统运营商和公用事业公司的主要关注点。柔性交流输电系统(FACTS)是一种通过控制电力系统的阻抗、电压和角度等参数来提高电力系统稳定性、改善电压分布和增加实际功率传输的现代技术,但为了获得最大的效益和有效地控制潮流,电网的优化配置和规模是非常重要的。本文提出了一种优化FACTS设备配置和尺寸的方法。选择两种类型的FACTS器件,晶闸管控制串联补偿器(TCSC)和并联无功补偿器(SVC)。TCSCs可以控制线路阻抗,SVCs可以控制母线电压。采用快速电压稳定指数(FVSI)和电压崩溃接近指数(VCPI)确定弱线和弱母线的最优配置。FVSI值较高的线路被认为是TCSC放置的最佳位置,类似地,VCPI值接近1的总线被认为是弱总线和SVC放置的最佳位置。以降低实际功率损耗和电压偏差为目标,利用粒子群算法求解该类器件的最优额定值。该技术已应用于ieee14总线测试系统。结果表明,实际功率损耗显著降低,电压分布改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Sizing and Allocation of SVC and TCSC in Transmission Network by combined Sensitivity index and PSO
Nowadays electrical power system usually operates close to its maximum load-ability point, because of increasing load demands and contingencies. Thus avoiding voltage collapse and maintaining power system stability are main concerns for power system operators and utilities. Flexible AC transmission system (FACTS) are modern technologies which can increase power system stability, improve voltage profile and can increase real power transfer, by controlling different parameter like impedance, voltage, and angle of power system, however there optimal allocation and sizing in power system network is important to gain maximum benefits and to control power flow in efficient manners. This paper presents a method for optimal allocation and sizing of FACTS devices. Two type of FACTS devices are selected, thyristor controlled series compensator (TCSC) and shunt VAR compensator (SVC). TCSCs can control impedance of the line while SVCs can control bus voltages. For optimal allocation of these devices weak lines and weak buses are determined using Fast voltage stability index (FVSI) and voltage collapse proximity index (VCPI). Lines with higher values of FVSI are considered as optimal locations for TCSC placements, similarly buses with VCPI value close to unity are considered as weak buses and optimal locations for SVC placement. Particle swarm optimization (PSO) with objective to reduce real power losses and voltage deviations is utilized to find optimal rating of these devices. The technique is applied on IEEE 14 bus test system. Results shows significant reduction in real power losses and improvement in voltage profile.
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