基于改进遗传算法的限流电抗器优化配置

Optimized Configuration of Current-Limiting Reactor Based on Improved Genetic Algorithm

针对电力系统限流措施优化问题多目标、非线性的特点,提出一种基于NSGA-II的电网限流优化配置算法。该算法借助精英策略筛选子代,并利用非支配排序保证了优化过程中子代的多样性,扩大了全局搜索的能力,同时还保证了算法的收敛精度和收敛速度。实际工程算例表明了优化方法的有效性,且计算时间短,有较强的实用意义。

Aiming at the characteristics of multi-objective and non-linear of current limiting measures optimization problem in power system,a NSGA-II based power grid current limiting optimization configuration algorithm was proposed.The current-limiting algorithm used the individual strategy with elite strategy as an operator in the population iteration.The non-dominated sorting was used to ensure the diversity of the children in the optimization process.The ability of the global search was expanded,and the convergence accuracy and convergence speed of the algorithm was also ensured.The actual engineering example showed the effectiveness of the optimization method.The algorithm has advantages of short calculation time,and strong practical significance.