Simultaneous Allocation of Multiple Distributed Generators and Shunt Capacitor Banks in Radial Distribution Systems using Grasshopper Optimization Algorithm

Q2 Social Sciences
S. Sudabattula, M. Kowsalya, V. Suresh
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引用次数: 1

Abstract

Electricity has become a part of day to day life of the people. With the increase in population, electricity demand is also raised. The development of distribution systems (DSs), the optimal utilisation of shunt capacitor banks (SCBs) and distributed generators (DGs) in the DSs are heightened. In this paper, a methodology is proposed to allocate both DGs and SCBs simultaneously on the DS. The objectives are to minimise power loss, improving the voltage profile and voltage stability index (VSI) of the DS. First locations of DGs and SCBs are found out by loss sensitivity factor (LSF) technique. Next grasshopper optimisation algorithm (GOA) is used to determine the rating of these sources. The methodology is implemented on IEEE 33 and 69 bus test systems considering optimal allocation of multiple DGs without and with placement of capacitors. Finally, the results obtained by the proposed method are compared with GA/PSO and PSO methods.
基于Grasshopper优化算法的径向配电系统中多个分布式发电机和并联电容器组同步分配
电已经成为人们日常生活的一部分。随着人口的增加,电力需求也随之增加。配电系统的发展,对配电系统中并联电容器组和分布式发电机的优化利用提出了更高的要求。本文提出了一种在DS上同时分配DGs和SCBs的方法。目标是尽量减少功率损耗,改善DS的电压分布和电压稳定指数(VSI)。利用损耗敏感因子(LSF)技术确定了双极和单极的首点位置。接下来,使用蚱蜢优化算法(GOA)来确定这些来源的评级。该方法在ieee33和ieee69总线测试系统上得到了实现,该测试系统考虑了多个dg的最佳分配,而不考虑电容器的放置。最后,将该方法与遗传算法/粒子群算法和粒子群算法进行了比较。
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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来源期刊
International Journal of Energy Technology and Policy
International Journal of Energy Technology and Policy Social Sciences-Geography, Planning and Development
CiteScore
1.50
自引率
0.00%
发文量
16
期刊介绍: The IJETP is a vehicle to provide a refereed and authoritative source of information in the field of energy technology and policy.
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