基于Harris hawks优化方法的可再生能源电网最优潮流分析

Mohamed A. M. Shaheen, H. Hasanien, S. Mekhamer, H. Talaat
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引用次数: 7

摘要

本文介绍了一种利用哈里斯鹰优化(HHO)求解最优潮流问题的新方法。其主要目标是在满足电网限制的情况下,使发电机的燃料成本达到最小。首先,为所研究的系统进行光伏(PV)发电机和/或风力发电机的最佳选址。然后,在可再生能源的渗透下,进行了不同的OPF问题场景。发电机产生的有功功率是问题搜索空间。HHO算法的应用使OPF问题得到了较好的求解结果。采用ieee57和ieee118总线测试系统验证了算法的有效性。在这两个测试系统上实现了不同场景的仿真。考虑可变日负荷曲线。结果验证了HHO算法在求解各种场景下的OPF问题时优于遗传算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Power Flow of Power Networks with Penetration of Renewable Energy Sources By Harris hawks Optimization Method
This article describes a new approach of using the harris hawks optimization (HHO) for the solution of the optimal power flow (OPF) problem. The main objective is to reach the minimum generators’ fuel cost satisfying the limitations of the networks. First, an optimal siting of photovoltaic (PV) generators and/or wind generators for the studied systems is performed. Then, different OPF problem scenarios are performed with the penetration of renewable energy sources. The active power produced by the generators is the problem search space. The employment of the HHO algorithm led to better results of the OPF problem. The IEEE 57-, and 118-bus test systems are used to check the validity of the presented algorithm. Simulations of different scenarios are implemented on these two test systems. Variable daily load curves are considered. The results verified that the HHO is superior to the genetic algorithm in solving OPF problem considering various scenarios.
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