使用混合TSSA优化FACTS控制器数量的总传输能力增强

S. Chansareewittaya, P. Jirapong
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引用次数: 15

摘要

本文提出了结合搜索空间管理的混合禁忌搜索和模拟退火(TSSA)方法来确定FACTS控制器的最优数量和分配,以提高电力系统中发电机与负荷之间电力交易的电力传输能力。具体的最优配置包括最优位置和参数设置。分别采用晶闸管控制串联电容(TCSC)和静态无功补偿器(SVC)两种类型的FACTS控制器。目标函数为最大总传输能力(TTC)和最小功率损耗。基于最优潮流(OPF)技术计算了输电能力的确定。采用分割和非分割搜索空间管理方法,提高了搜索能力。在IEEE 118总线系统和泰国电力管理局(EGAT)实际58总线系统上的测试结果表明,与进化规划(EP)和非分裂搜索空间方法相比,该方法具有更高的TTC和更少的FACTS控制器数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Total transfer capability enhancement with optimal number of FACTS controllers using hybrid TSSA
In this paper, hybrid tabu search and simulated annealing (TSSA) with search space managing methods are proposed to determine the optimal number and allocation of FACTS controllers to enhance power transfer capability of power transactions between generators and loads in power systems. Particular optimal allocation includes optimal locations and parameter settings. Two types of FACTS controllers including thyristor-controlled series capacitor (TCSC) and static var compensator (SVC) are used individually. The objective function is formulated as maximizing total transfer capability (TTC) and minimizing power losses. Power transfer capability determinations are calculated based on the optimal power flow (OPF) technique. Split and non-split search space managing methods are used to improve the solution searching capability. Test results on IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system show that the proposed hybrid TSSA with optimal number of FACTS criteria and the split search space managing method give higher TTC and less number of FACTS controllers than those from evolutionary programming (EP) and non-split search space method.
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