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改进的遗传算法在汕头电网规划中的应用
引用本文:黄武忠,钟丹虹,孔德键,吴捷.改进的遗传算法在汕头电网规划中的应用[J].广东电力,2001,14(5):8-11.
作者姓名:黄武忠  钟丹虹  孔德键  吴捷
作者单位:1. 汕头电力工业局,
2. 华南理工大学电力学院,
3. 潮州电力工业局,
摘    要:遗传算法是由自然界生物遗传机理抽象出来而形成的一种新型的优化算法,具有适合于电网规划的独特优点。因此,介绍了遗传算法应用于电网规划的模型和实现步骤,分析了其特点,并提出把改进的自适应代沟遗传算法引入电网规划,经改进的遗传算法在汕头电网规划的网架优化中应用,取得了较好的效果。

关 键 词:遗传算法  电网规划  目标函数  电力系统  数学模型
文章编号:1007-290(2001)05-0008-04

Application of improved genetic algorithm in power grid planning of Shantou City
HUANG Wu zhong ,ZHONG Dan hong ,KONG De jian ,WU Jie.Application of improved genetic algorithm in power grid planning of Shantou City[J].Guangdong Electric Power,2001,14(5):8-11.
Authors:HUANG Wu zhong  ZHONG Dan hong  KONG De jian  WU Jie
Affiliation:HUANG Wu zhong 1,ZHONG Dan hong 2,KONG De jian 3,WU Jie 2
Abstract:Genetic algorithm,derived from the genetic mechanism of organisms in nature,has unique advantages in power grid planning. This paper describes the model and realization process of genetic algorithm applied to power grid planning,analyzes its features,and presents the introduction of an improved adaptive generation gap genetic algorithm. The improved algorithm has been applied to grid frame optimization in the power grid planning of Shantou City and good results obtained.
Keywords:genetic algorithm  adaptive generation gap genetic algorithm  power grid planning
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