| 基于免疫进化细菌觅食算法的多目标无功优化 |
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| 引用本文： | 李莹,简献忠.基于免疫进化细菌觅食算法的多目标无功优化[J].电力情报,2014(4):5-10. |
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| 作者姓名： | 李莹 简献忠 |
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| 作者单位： | 上海理工大学电气工程系,上海200093 |
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| 基金项目： | 基金项目：上海市自然科学基金资助项目（12ZR1420800）. |
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| 摘 要： | 为了更好地解决电力系统多目标无功优化问题，分析了当前多目标无功优化算法存在的缺陷，提出了一种基于免疫进化的改进多目标细菌觅食优化算法。该算法求得的Pareto最优解分布均匀，收敛性和鲁棒性好。IEEE14，IEEE30节点测试系统的算例结果表明所提的算法在多目标无功优化中具有良好的效果，为各目标之间的权衡分析提供了有效工具，是一种求解多目标无功优化问题的有效方法。
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| 关 键 词： | 无功优化 多目标 免疫进化 细菌觅食优化算法 非支配排 |
Bacterial Foraging Optimization Algorithm Based on Immune Algorithm for Multi-Objective Reactive Power Optimization |
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| Li Ying,Jian Xianzhong.Bacterial Foraging Optimization Algorithm Based on Immune Algorithm for Multi-Objective Reactive Power Optimization[J].Information on Electric Power,2014(4):5-10. |
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| Authors: | Li Ying Jian Xianzhong |
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| Affiliation: | ( Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) |
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| Abstract: | In order to solve the problem of multi-objective reactive power optimization, firstly the defects of current algorithms are analyzed, then an improved multi-objective bacterial foraging optimization algorithm based on im- mune algorithm technique is proposed. It can obtain uniformly distributed Pareto-optimal solutions and has good convergence and excellent robustness. Finally this method is applied to IEEE14-bus and IEEE30-bus testing sys- tem. The results show that the proposed method can obtain good results for multi-objective reactive power optimiza- tion, which provides an effective tool for measuring the performance of different objective functions. Thus it should be a new method for multi-objective reactive power optimization in power systems. |
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| Keywords: | reactive power optimization multi-objective immune algorithm bacterial foraging optimization algo-rithm non-dominated sorting |
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