运用改进遗传算法的输电网规划  

Transmission Network Planning Using an Improved Genetic Algorithm

作　　者：林娇燕 

机构地区：[1]广东省水利电力职业技术学院数学系,广东广州510610

出　　处：《华南理工大学学报（自然科学版）》2002年第8期36-39,共4页Journal of South China University of Technology(Natural Science Edition)

摘　　要：遗传算法对许多问题是有效的 ,但普通遗传算法只能保证全局最优解的出现而不能保证每次都收敛于全局最优解 ,其原因是在搜索过程中出现的全局最优解不能保留下来 .针对这一问题 ,本文将改进自适应代沟方式的遗传算法用于输电网规划中 ,一方面保证了计算结果有多个解可供选择 ;另一方面加快了搜索速度 ,提高了搜索性能 .Genetic algorithm (GA) is an efficient method for many practical problems. However, common GA can guarantee the appearance of global optimized solution but can not guarantee convergence to global optimized solution every times, since appeared global optimized solution can not be reserved in searching procedure. To counter this problem,in this paper,the improved strategy adaptive keeping score algorithm is employed to do transmission network planning, which not only assure multiple solutions to be selected but also accelerate the calculating speed and strengthen the searching performances. The calculating example shows the advantage of the improved genetic algorithm presented in this paper.

关 键 词：改进遗传算法 自适应代沟 输电网规划 

分 类 号：TM715[电气工程—电力系统及自动化]