Optimized Distributed Generation Planning for Radial Distribution System Using Particle Swarm Optimization Algorithm

Fairuj Binte Faruque, S. Chowdhury, Md. Shahriar Nazim, Mycheal Sowmitra, Ali Azad
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引用次数: 1

Abstract

Distributed generation is the procedure of storing and transmitting energy using many micro grid-connected or distribution system-connected devices. This paper presents the establishment of the best position of a Distributed Generation (DG) Unit. There has been an analysis of the radial distributed network. The location of distributed generation and the capacity of the distributed generation is prime factor here. The primary objective of this research is to reduce line losses while also improving the voltage profile. We have followed a robust technique called particle swarm optimization to achieve this objective. The application is illustrated on a 30 bus system of 132KV line Chittagong, Bangladesh power Grid system using Newton Raphson power flow approach. Results present the maximum reduction of real power loss in percentage and optimal location of Distributed Generation
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基于粒子群算法的径向配电系统分布式发电优化规划
分布式发电是利用许多微并网或与配电系统相连的设备进行能量存储和传输的过程。本文提出了分布式发电机组最佳位置的建立方法。对径向分布式网络进行了分析。分布式发电的位置和分布式发电的容量是主要因素。这项研究的主要目的是减少线路损耗,同时改善电压分布。我们采用了一种称为粒子群优化的稳健技术来实现这一目标。以孟加拉吉大港132KV线路30母线系统为例,说明牛顿-拉夫森潮流法的应用。结果表明,该方案最大限度地降低了实际功率损耗的百分比,并给出了分布式发电的最优位置
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