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Comparative study of GA & DE algorithm for the economic operation of a power system using FACTS devices

机译：使用FACTS装置进行电力系统经济运行的GA和DE算法的比较研究

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The problem of improving the voltage profile and reducing power loss in electrical networks must be solved in an optimal manner. This paper deals with comparative study of Genetic Algorithm (GA) and Differential Evolution (DE) based algorithm for the optimal allocation of multiple FACTS (Flexible AC Transmission System) devices in an interconnected power system for the economic operation as well as to enhance loadability of lines. Proper placement of FACTS devices like Static VAr Compensator (SVC), Thyristor Controlled Switched Capacitor (TCSC) and controlling reactive generations of the generators and transformer tap settings simultaneously improves the system performance greatly using the proposed approach. These GA & DE based methods are applied on standard IEEE 30 bus system. The system is reactively loaded starting from base to 200% of base load. FACTS devices are installed in the different locations of the power system and system performance is observed with and without FACTS devices. First, the locations, where the FACTS devices to be placed is determined by calculating active and reactive power flows in the lines. GA and DE based algorithm is then applied to find the amount of magnitudes of the FACTS devices. Finally the comparison between these two techniques for the placement of FACTS devices are presented.
机译：必须以最佳方式解决改善电压分布和减少电网中的功率损耗的问题。本文针对基于遗传算法（GA）和差分进化（DE）的算法进行比较研究，以优化互连电力系统中多个FACTS（柔性交流输电系统）设备的经济运行，并提高其负荷能力。线。正确放置FACTS器件，例如静态VAr补偿器（SVC），晶闸管控制开关电容器（TCSC）以及控制发电机的无功发电量和变压器抽头设置，可同时使用所提出的方法极大地改善系统性能。这些基于GA和DE的方法适用于标准IEEE 30总线系统。系统从基本负载到基本负载的200％开始进行无功负载。 FACTS设备安装在电力系统的不同位置，使用和不使用FACTS设备都可以观察到系统性能。首先，通过计算线路中的有功和无功功率来确定要放置FACTS设备的位置。然后应用基于GA和DE的算法来找到FACTS设备的数量。最后，介绍了这两种用于FACTS器件放置的技术之间的比较。

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