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基于改进遗传算法的无功优化在汉中电网的应用 被引量:1

Improved Genetic Algorithm Based Reactive Power Optimization and its Application in Han Zhong Grid
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摘要 在电力系统的运行控制中,电力系统的稳定运行、供电电压质量以及供电网络的损耗始终是电力系统需要解决的一个重要问题。因此无功功率控制在电力系统运行中起着极其重要的作用,利用无功优化可以提高系统的稳定性,保证电压质量并降低网络损耗。根据汉中电网实际运行情况,提出汉中电网无功优化目标函数,针对传统遗传算法的不足,采用改进后的遗传算法对汉中电网进行无功优化。计算结果表明,遗传算法用于无功优化是一种优良的电力系统无功优化方法,同时本文的研究结果也对汉中电网的实际运行有一定的指导意义。 The stable running of power system, quality of voltage and loss of power supply networks are an important problem needed to solve in operating control of the power system. The control of reactive power plays an important role in the operation of the power system. VAR optimization can improve the stability of the power system, ensure the quality of voltage and decrease the loss of networks. According to the practical experience of Hanzhong grid, an object function of VAR optimization is brought forward. In the light of the shortage of traditional genetic algorithm (GA), improved genetic algorithm is applied to Hanzhong grid VAR optimization. The simulation results show that GA is a powerful approach for VAR optimization, and the results is useful to practical operation of Hanzhong grid.
出处 《陕西电力》 2009年第9期49-53,共5页 Shanxi Electric Power
关键词 电力系统 无功优化 遗传算法 power system VAR optimization genetic algorithm
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