基于遗传算法的潮流多根求解方法  

Multiple Load Flow Solutions in Electric Power Systems Based on Genetic Algorithm

作　　者：张金奎[1] 林荫宇[1] 杨传忠 甘兴国 谢长科 

机构地区：[1]重庆市杨家坪供电局,重庆400050

出　　处：《重庆大学学报（自然科学版）》2000年第1期56-59,共4页Journal of Chongqing University

摘　　要：在计及功率平衡和电压幅值约束的基础上提出约束遗传算法（ＣＧＡＬＦ），该算法采用动态群法、优化加速技术、节点排序技术，提高了算法的鲁棒性，选取了轻重载情况下的ＫＫ－ １１ 节点系统进行测试，验证了算法的有效性和可行性。Methods for satisfying the power balance requirement and the voltage magnitude costraint are developed and incorporated into the genetic algorithm method to form a constrained genetic algorithm for solving the load flow problem.The robustness of the load flow algorithm is enhanced by the dynamic population.the technique for accelerating the convergence of the optimisation process and the network node sequencing procedure described in the paper.The efficiency and feasibility of the developed CGALF algorithm have been tested using KK 11 node system under light load and heavy load conditions.

关 键 词：遗传算法 病态潮流 静态顶值点 CGALF 电力系统 

分 类 号：TM744[电气工程—电力系统及自动化] TM712