Dynamic population artificial bee colony algorithm for multi-objective optimal power flow

作者：Ding, Man; Chen, Hanning^*; Lin, Na; Jing, Shikai; Liu, Fang; Liang, Xiaodan; Liu, Wei

来源：Saudi Journal of Biological Sciences, 2017, 24(3): 703-710.

DOI：10.1016/j.sjbs.2017.01.045

• Artificial bee colony algorithm
• Life-cycle evolving model
• Optimal power flow
• Multi-objective optimization

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.

• 出版日期2017-3
• 单位河北工业大学; 天津工业大学; 吉林师范大学