基于遗传算法的微电网潮流优化

2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC) Pub Date : 2019-08-01 DOI:10.1109/ICPEDC47771.2019.9036669

V. Suresh, P. Janik

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引用次数: 9

摘要

智能算法在优化和最优潮流(OPF)领域越来越流行。它们具有固有的优点，例如能够避免陷入优化问题的局部最小值并收敛到全局解。本文将遗传算法应用于局部微电网的OPF问题，考虑成本的最小化，包括太阳能光伏阵列的安装成本和电池存储的安装成本。

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 Power Flow in Microgrids using Genetic Algorithm

Intelligent algorithms are becoming more prevalent in the domain of optimization and optimal power flow (OPF). They possess inherent advantages such as the ability to avoid entrapment in the local minimum of the optimization problem and converge onto a global solution. This paper presents the use of genetic algorithm (GA) to the OPF problem in a local microgrid setup with regard to minimization of cost which includes the installation costs for the solar PV array and the battery storage.

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2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)

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