求解最优潮流问题的改进ABC算法

Q3 Engineering
H. Hardiansyah
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引用次数: 1

摘要

提出了一种求解电力系统最优潮流问题的改进人工蜂群算法(MABC)。人工蜂群算法是近年来兴起的一种基于群体的优化方法,已成功地应用于许多复杂问题的求解。提出了一种受差分进化(DE)启发的新的突变策略,以改进其开发过程。将新算法应用于OPF问题,在考虑相等约束和不相等约束的情况下,使总发电成本最小。为了验证该算法的有效性,将其应用于标准的IEEE 30总线测试系统。结果表明,所提出的技术比文献中报道的其他启发式技术提供了更好的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modified ABC algorithm for solving optimal power flow problem
This paper presents a modified artificial bee colony (MABC) algorithm for solving the optimal power flow (OPF) problem in power system. Artificial bee colony algorithm is a recent population-based optimization method which has been successfully used in many complex problems. A new mutation strategy inspired from the differential evolution (DE) is introduced in order to improve the exploitation process. The new algorithm is implemented to the OPF problem so as to minimize the total generation cost when considering the equality and inequality constraints. In order to validate of the proposed algorithm, it is applied to the standard IEEE 30-bus test system. The results show that the proposed technique provides better solutions than other heuristic techniques reported in literature.
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来源期刊
Serbian Journal of Electrical Engineering
Serbian Journal of Electrical Engineering Energy-Energy Engineering and Power Technology
CiteScore
1.30
自引率
0.00%
发文量
16
审稿时长
25 weeks
期刊介绍: The main aims of the Journal are to publish peer review papers giving results of the fundamental and applied research in the field of electrical engineering. The Journal covers a wide scope of problems in the following scientific fields: Applied and Theoretical Electromagnetics, Instrumentation and Measurement, Power Engineering, Power Systems, Electrical Machines, Electrical Drives, Electronics, Telecommunications, Computer Engineering, Automatic Control and Systems, Mechatronics, Electrical Materials, Information Technologies, Engineering Mathematics, etc.
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