基于混沌遗传算法和物元可拓的特高压输电线路评估

Evaluation of UHV Transmission Lines Based on Chaotic Genetic Algorithm and Element Extension

随着国民经济的增长,中国用电需求不断增加。为减少输电线路的损耗,节约宝贵的土地资源,特高压网络不断发展。本文综合考虑中小尺度天气、地形高程障碍、输电塔布局等方面的因素,运用混沌遗传算法进行初步线路规划,再利用物元拓扑对初始最优线路进行综合效益评估,以此得到预特高压输电线的优化路径及其可行性分析,同时添加时间因子针对面临工程延期等问题提供可靠保障,为实际工程的实施提供有效参考。

With the growth of the national economy, China’s demand for electricity is increasing. In order to reduce the loss of transmission lines and save precious land resources, the UHV network is devel-oping continuously. This project considers the small and medium scale weather, terrain elevation obstacle, transmission tower layout factors, uses the chaotic genetic algorithm preliminary line planning, reuses the initial comprehensive benefit assessment of the optimal line, to get the UHV transmission line optimization path and feasibility analysis, and adds time factor for problems such as engineering delay, to provide effective reference for actual engineering implementation.