Optimal locating and sizing of DG and D-STATCOM using Modified Shuffled Frog Leaping Algorithm

M. Moazzami, G. Gharehpetian, Hossein Shahinzadeh, S. Hosseinian
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引用次数: 26

Abstract

In recent years, by restructuring the power systems, the power plant companies are going to improve the quality of the power and the reliability of the distribution systems by using the modern instruments. Also, using the distributed generation sources (DGs) and distribution statistic synchronized compensator (D-STATCOM) in distribution systems has been increased. The installation location and the capacity of these instruments are some of the main factors of impression of such instruments in affecting the improvement of the power quality indices such as the voltage stability and the reduction of the distribution systems losses. In this article, in order to determine the optimal installation position of these instruments, an objective function consisted of equipment's installation and the system energy losses costs is composed. Furthermore, the Modified Shuffled Frog Leaping Algorithm (MSFLA) is applied to minimize the objective function to achieve the optimal place and size of these instruments in distribution system. The proposed method optimization result is compared with the results derived from the genetic algorithm. IEEE 33 Buses standard distribution systems is used as the test case. Simulation results show the effectiveness of the proposed approach.
基于改进的青蛙跳跃算法优化DG和D-STATCOM的定位和尺寸
近年来,各电厂通过对电力系统的改造,采用现代化的仪器设备来提高供电质量和配电系统的可靠性。此外,分布式发电源(dg)和配电统计同步补偿器(D-STATCOM)在配电系统中的应用也有所增加。这些仪表的安装位置和容量是影响配电系统电压稳定性和减少配电系统损耗等电能质量指标改善的主要因素。在本文中,为了确定这些仪器的最佳安装位置,由设备安装和系统能量损失费用组成目标函数。在此基础上,应用改进的洗牌青蛙跳跃算法(MSFLA)对目标函数进行最小化,以实现配电系统中这些仪器的最优位置和尺寸。将该方法的优化结果与遗传算法的优化结果进行了比较。采用IEEE 33总线标准配电系统作为测试用例。仿真结果表明了该方法的有效性。
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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