遗传算法用于配电网络优化规划

Genetic Algorithm Applied to Power Network Optimal Planning

从经济角度出发,寻求配电网络规划过程中的经济最优。将确定配电网络中变电所最优容量和地址,对一定变电所容量地址下,网架结构的优化设计作为一个整体,改进现有模型。利用遗传算法在多目标多峰优化问题体现出来的思维简单,寻优快速的特点,对变电所容量、地址和网架结构进行整体优化规划。且利用某地市的现场数据进行研究,证明该方法的可用性,结果比实际工程中通过经验选值方法在时间上和客观程度上更优。

In order to get an economical method in power network planning,from the ecnomic aspects. In this paper ,the former model is improved,and Genetic Algorithm（GA） is used in both substation planning and circuitry planning. And one sample,using some city field data,is testified its feasibility. The result shows that planning in this new way is more superior in the time and the objective degree field than choosing through the experience in an actual project.