Application of Harris Hawks Optimization in Single Objective Optimal Power Flow

M. Al-Kaabi, V. Dumbrava, M. Eremia
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Abstract

One of the most important issues in power systems that should be considered for the best planning, operation, and energy management is optimal power flow (OPF). Numerous metaheuristic optimization techniques have been proposed to address OPF issues. Recently developed is a meta-heuristic technique known as Harris Hawks Optimization (HHO), which was inspired by the behavior of Harris Hawks. Finding the best objective functions, including fuel cost, emissions, active power losses, and voltage deviation across all buses, is the main focus of this work. The real power of generators (with the exception of the swing bus generator), voltage magnitude at the PQ bus, source VAR compensations, and tap changer setting at the transformers are the control variables that must be set in order to achieve the best objective function. IEEE 57-bus power test is the standard grid that has been used by Harris Hawks Optimization (HHO) to demonstrate its superiority and efficacy in power system applications. The objective function comparison results showed the superiority of Harris Hawks Optimization (HHO) in providing better solutions than known algorithms described in the literature.
Harris Hawks优化算法在单目标最优潮流中的应用
最优潮流是电力系统规划、运行和能源管理中需要考虑的最重要问题之一。已经提出了许多元启发式优化技术来解决OPF问题。最近开发的一种元启发式技术被称为哈里斯鹰优化(HHO),它的灵感来自哈里斯鹰的行为。寻找最佳目标函数,包括燃料成本、排放、有功功率损耗和所有总线的电压偏差,是这项工作的主要重点。发电机的实际功率(摆动母线发电机除外)、PQ母线处的电压幅值、源无功补偿和变压器处的分接开关整定是为了实现最佳目标函数而必须设置的控制变量。IEEE 57总线功率测试是哈里斯霍克斯优化公司(HHO)使用的标准电网,以证明其在电力系统应用中的优越性和有效性。目标函数比较结果表明,Harris Hawks Optimization (HHO)在提供更好的解方面优于文献中描述的已知算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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