Solution of Placement and Sizing of Capacitor Problem in Distribution System using Hybrid Approach of Archimedes Optimization Algorithm

Rajkumar Kaushik, Chirag Arora, A. Soni, Saloni Upadhyay, Mansi Saini, Vijay Khatik
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Abstract

Electric power distribution is the last stage in providing power from power plant to end-clients. Low-voltage profile and high power misfortunes are the significant issues in distribution networks because of load extension and inductive nature of load. Low voltages, which bring about unusual activity of the machines and influence their lifetime, are more antagonistic for customers situated at the far closes from the inventory side. A distributed systems is alluded as a connection point among massive power system and buyers. Different issues are loss of force during transmission, variable voltage profile, expanding cost of system and so on capacitors are utilized for execution upgrade of the system. Because all of these issues straightforwardly impacted by execution or energy proficiency of the system. There are different strategies which are utilized for ideal position of the capacitors in distributed power system. In this article the Archimedes optimization algorithm will be implemented for finding the optimal value of capacitor and then placement of optimized capacitor value at IEEE 15 bus test system to improve the performance of the system. The results of the optimization and system performance will be compared with the Polar Bear Optimization Techniques.
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用阿基米德优化算法求解配电系统中电容器的布置和尺寸问题
配电是电厂向终端用户提供电力的最后一个环节。由于负荷的延伸性和负荷的感性特性,配电网的低电压分布和高功率异常一直是配电网的重要问题。低电压会导致机器异常活动并影响其使用寿命,对于距离库存端较近的客户来说更为不利。分布式系统是大型电力系统与用户之间的连接点。针对输电过程中的力损失、电压分布的变化、系统的扩容成本等问题,利用电容器进行系统的执行升级。因为所有这些问题都直接受到系统的执行或能源熟练程度的影响。在分布式电力系统中,电容器的理想位置有不同的策略。本文将采用阿基米德优化算法来寻找电容的最优值,然后将优化后的电容值放置在ieee15总线测试系统中,以提高系统的性能。优化结果和系统性能将与北极熊优化技术进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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