| 基于蜜蜂进化型粒子群算法的电力系统无功优化 |
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| 引用本文： | 刘伟,梁新兰,安晓龙. 基于蜜蜂进化型粒子群算法的电力系统无功优化[J]. 电力系统保护与控制, 2010, 38(7): 16-21 |
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| 作者姓名： | 刘伟 梁新兰 安晓龙 |
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| 作者单位： | 1.大庆石油学院电气信息工程学院，黑龙江 大庆 163318;2.海洋石油工程股份有限公司设计公司，天津300451 |
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| 基金项目： | 黑龙江教育厅科学技术研究项目（100551012） |
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| 摘 要： | 为了提高电能质量，降低网损，采用蜜蜂进化机制与粒子群算法相结合的蜜蜂进化型粒子群算法（Bee Evolution Modifying Particle Swarm Optimization, BEMPSO），对电力系统的无功优化问题进行求解。改进后的算法能够克服传统粒子群算法的收敛精度低，易陷入局部最优解的缺点。应用改进算法对IEEE6、30节点标准电网进行无功优化计算，并与其它优化算法相比较，结果证明BEMPSO算法具有较好的全局寻优能力，验证了该算法的正确性和有效性。
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| 关 键 词： | 电力系统；无功优化；粒子群算法；蜜蜂进化；IEEE系统 |
Power system reactive power optimization based on BEMPSO |
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| LIU Wei,LIANG Xin-lan,AN Xiao-long. Power system reactive power optimization based on BEMPSO[J]. Power System Protection and Control, 2010, 38(7): 16-21 |
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| Authors: | LIU Wei LIANG Xin-lan AN Xiao-long |
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| Affiliation: | 1. School of Electric Information Engineering;Daqing Petroleum Institute;Daqing 163318;China;2. Engineering Company;Offshore Oil Engineering CO.;LTD;Tianjin 300451;China |
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| Abstract: | In order to improve power quality and reduce network losses,a method based on bee evolution modifying particle swarm optimization(BEMPSO)is presented for power system reactive power optimization.The BEMPSO algorithm can overcome the disadvantages in the traditional PSO algorithm about low accuracy and easy to fall into local optimal.The reactive power optimization result of IEEE6 and IEEE30 node system by BEMPSO shows that the BEMPSO has a strong robustness and good global astringency compared with the othe... |
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| Keywords: | power system reactive power optimization particle swarm algorithm bee evolution IEEE system |
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