侯学勇,丁晓群

• 1:河海大学电气工程学院
• 2:河海大学电气工程学院 江苏省南京市210098
• 3:江苏省南京市210098

摘要(Abstract)：

随着配电网规模的不断扩大,传统的依照经验配置电容器的方法日显其局限性,具体表现在电容器容量配置得不足或过剩,更严重的情况是部分电容器需要投入时由于局部电压的限制而不能投入。将遗传–模拟退火算法用于解决配电网电容器优化配置问题,建立了相应的数学模型,目标函数为配电网有功网损费用、电容器的购置及安装费用总和最小,该算法将电容器的安装位置及安装容量离散化,并在初始方案种群产生和群体进化策略两方面对该算法作了改进,对一个30节点配电网的电容器优化配置结果表明了遗传–模拟退火算法的合理性和可行性。

关键词(KeyWords)： 电力系统;配电自动化;配电网;遗传–模拟退火算法;电容器;优化配置

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 侯学勇,丁晓群

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参考文献(References)：

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