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基于改进遗传算法的地区电网无功优化

Reactive Power Optimization of Regional Network Based on Improved Genetic Algorithms

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【作者】 张正凯盛四清田文树

【Author】 ZHANG Zheng-kai~1, SHENG Si-qing~1,TIAN Wen-shu~2(1.North China Electric Power University , Baoding 071003 , China;2.Wuji Electric Power Bureau,Wuji 052460,China)

【机构】 华北电力大学电气工程学院河北省无极县供电局 河北保定071003河北保定071003河北无极052460

【摘要】 电力系统的无功优化以及无功补偿对于电网的安全、经济运行有着重要意义。无功优化和无功补偿能够降低网损、提高系统稳定性和电压质量。文章考虑电力系统运行的实际,对遗传算法的编码、繁殖、适应度函数以及收敛判据进行改进并提出遗传算法用于电力系统无功优化尚存在的问题。仿真结果表明,这种改进遗传算法能够更好地收敛于全局最优解,能更切合电力系统运行的实际,有效提高电压质量和降低网损。

【Abstract】 The optimization and compensation of reactive power is significant for the safe and economic operation of power network, through which the network loses can be reduced, the voltage quality improved and the power system stability maintained. An improved method of encoding, propagation and adaptive degree function of genetic algorithms is proposed. The result from the calculation example shows that the improved genetic algorithms can not only converge in the global optimal solution but also improve voltage quality as well as reduce network loses.

  • 【文献出处】 电力科学与工程 ,Electric Power Science and Engineering , 编辑部邮箱 ,2005年01期
  • 【分类号】TM714
  • 【被引频次】13
  • 【下载频次】186
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