期刊
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
卷 24, 期 3, 页码 703-710出版社
ELSEVIER
DOI: 10.1016/j.sjbs.2017.01.045
关键词
Artificial bee colony algorithm; Life-cycle evolving model; Optimal power flow; Multi-objective optimization
类别
资金
- National Natural Science Foundation of China [61305082, 51378350, 5157518, 61602343, 51607122]
This paper proposes a novel artificial bee colony algorithm with dynamic population (ABC-DP), which synergizes the idea of extended life-cycle evolving model to balance the exploration and exploitation tradeoff. The proposed ABC-DP is a more bee-colony-realistic model that the bee can reproduce and die dynamically throughout the foraging process and population size varies as the algorithm runs. ABC-DP is then used for solving the optimal power flow (OPF) problem in power systems that considers the cost, loss, and emission impacts as the objective functions. The 30-bus IEEE test system is presented to illustrate the application of the proposed algorithm. The simulation results, which are also compared to nondominated sorting genetic algorithm II (NSGAII) and multi-objective ABC (MOABC), are presented to illustrate the effectiveness and robustness of the proposed method. (C) 2017 The Authors. Production and hosting by Elsevier B.V.
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