A novel load flow analysis for particle-swarm optimized microgrid power sharing

A. Elrayyah, Y. Sozer, M. Elbuluk
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引用次数: 18

Abstract

This paper proposes a novel load flow analysis (LFA) for droop-based islanded microgrids (DBIM). The standard LFA cannot be used since no single node sets the reference voltage. As the voltage in the islanded microgrid depends on the droop relation, they are included them as part of load flow equations. The proposed LFA is used with particle swarm optimization to select the droop parameters that optimize the power sharing among sources in a microgrid. The proposed methods are found to be effective through simulation studies.
基于粒子群优化的微电网电力共享潮流分析
提出了一种新的基于下垂的孤岛微电网潮流分析方法。标准LFA不能使用,因为没有单个节点设置参考电压。由于孤岛微电网中的电压依赖于下垂关系,因此将其作为潮流方程的一部分。将该方法与粒子群算法相结合,选择下垂参数,优化微电网中各源间的功率共享。仿真结果表明,所提出的方法是有效的。
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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