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。
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.
出处
《电力科学与工程》
2005年第1期73-75,共3页
Electric Power Science and Engineering
关键词
电力系统
无功优化
遗传算法
power system
reactive power optimization
genetic algorithms
