用shuffle Frog Leap算法优化配电系统中DER的位置和大小

Chandrasekhar Yammani, Naresh Siripurapu, Sydulu Maheswarapu, S. Matam
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引用次数: 21

摘要

电力消耗日益增加,使配电系统的运行复杂化。分布式能源集成在配电系统中具有最小化损耗、调峰、缓解过载和提高可靠性等优点。本文提出了一种以系统损耗最小化和电压分布改善为目标函数的分布式电源优化配置和优化尺寸的算法。该工作在IEEE 15、33、69和85总线配电系统上进行了测试。针对各种情况,本文采用了一种新的启发式优化技术——shuffle Frog leapalgorithm (SFLA),并采用了基于电流注入的配电网潮流法。并与粒子群优化(PSO)方法的结果进行了比较,得到了令人鼓舞的结果。
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Optimal placement and sizing of the DER in distribution systems using Shuffled Frog Leap Algorithm
Electrical power consumption is increasing day by day, complicating the operation of distribution systems. Distributed Energy Resource (DER) integration in distribution system is one of the options which give benefits like loss minimization, peak shaving, over load relieving and improved reliability. This paper presents an algorithm for optimal placement and size of the DER considering system loss minimization and voltage profile improvement as objective functions. This work is tested on IEEE 15, 33, 69 and 85 bus distribution systems. For all cases studied, a new heuristic optimization technique Shuffled Frog Leaping Algorithm (SFLA) is applied and current injection based distribution load flow method is employed. Further the results are compared with those results obtained by Particle swarm optimization (PSO) method and found to be encouraging.
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