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Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability

机译:考虑安装成本和系统可装载性的粒子群优化技术在FACTS设备最佳位置的应用

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This paper presents the application of particle swarm optimization (PSO) technique to find the optimal location of flexible AC transmission system (FACTS) devices with minimum cost of installation of FACTS devices and to improve system loadability (SL). While finding the optimal location, thermal limit for the lines and voltage limit for the buses are taken as constraints. Three types of FACTS devices, thyristor controlled series compensator (TCSC), static VAR compensator (SVC) and unified power flow controller (UPFC) are considered. The optimizations are performed on the parameters namely the location of FACTS devices, their setting, their type, and installation cost of FACTS devices. Two cases namely, single-type devices (same type of FACTS devices) and multi-type devices (combination of TCSC, SVC and UPFC) are considered. Simulations are performed on IEEE 6, 30 and 118 bus systems and Tamil Nadu Electricity Board (TNEB) 69 bus system, a practical system in India for optimal location of FACTS devices. The results obtained are quite encouraging and will be useful in electrical restructuring.
机译:本文介绍了粒子群优化(PSO)技术的应用,它以最小的FACTS设备安装成本找到柔性交流输电系统(FACTS)设备的最佳位置,并提高了系统负载能力(SL)。在找到最佳位置时,将线路的热极限和总线的电压极限作为约束条件。考虑了三种类型的FACTS器件:可控硅串联补偿器(TCSC),静态无功补偿器(SVC)和统一潮流控制器(UPFC)。对参数进行优化,即FACTS设备的位置,其设置,类型和FACTS设备的安装成本。考虑两种情况,即单类型设备(相同类型的FACTS设备)和多类型设备(TCSC,SVC和UPFC的组合)。仿真在IEEE 6、30和118总线系统以及Tamil Nadu电力委员会(TNEB)69总线系统上进行,这是印度的一种实用系统,用于FACTS设备的最佳定位。获得的结果令人鼓舞,并且将在电气重组中有用。

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