基于改进遗传算法的农村配电网无功优化算法

为了保证农村配电网中的电压质量和电力系统的稳定性,解决以往无功优化算法中遗传算法计算时间过长的问题,提出了改进遗传算法与灵敏度相结合的无功优化算法及模型,在灵敏度分析的基础上确定初始种群,提高了初始种群的质量并避免了搜索的盲目性,运用改进的交叉和变异算子使得遗传操作得到改善.通过对算例的优化结果可以看出,改进后的无功优化算法优越,计算速度快,实用性强.

Reactive Power Optimization Based on Improved GA for Rural Distribution Network

To ensure the power system voltage quality and stability of rural distribution network, solving the long running time of GA, advanced algorithm and model integrated the improved GA with sensitivity were put forward, the initial value based on the analysis of sensitivity was confirmed, the value quality was improved, and searching blindness was avoided, the improved crossover and variance operation was applied. The conclusion was drawn from the case, the optimization is superior, expeditious and practical.