基于遗传算法的微电网分布式能源单元优化

2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI:10.1109/IRANIANCEE.2010.5506961

S. Tafreshi, H. Zamani, S. M. Ezzati, M. Baghdadi, H. Vahedi

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引用次数: 43

摘要

本文提出了一种在MicroGid (MG)中执行分布式能源(DRE)最优单元大小的方法。在遗传算法的基础上，提出了一种优化规划方法，计算出在最小COE的情况下，满足客户需求的供电损失概率(LPSP)的最优系统配置。在同一系统中，用单源DG和混合DG验证了方法的结果。

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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Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm

In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.

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2010 18th Iranian Conference on Electrical Engineering

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