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。
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.
出处
《广东电力》
2001年第5期8-11,共4页
Guangdong Electric Power
关键词
遗传算法
电网规划
目标函数
电力系统
数学模型
genetic algorithm
adaptive generation gap genetic algorithm
power grid planning
