基于改进遗传算法的水电站优化调度模型与算法  

Scheduling Optimization Model and Algorithm Based on Improved Genetic Arithmetic for Hydropower Station

作　　者：李可[1] 马孝义[1] 符少华[1] 

机构地区：[1]西北农林科技大学机电学院,陕西杨凌712100

出　　处：《水力发电》2010年第1期92-93,96,共3页Water Power

基　　金：国家自然科学基金项目(50879072);国家科技支撑计划课题(2006BAD11B04);国家863计划项目(2006AA100209)

摘　　要：基于整数的遗传算法编码规则,满足了染色体和解之间唯一映射的关系,极大的缩短了染色体的长度。引入退火罚因子设计动态罚函数处理约束条件和自适应的遗传算子的设计,建立了基于改进遗传算法的水电站优化调度的数学模型。算例研究表明,上述算法可以快速有效地得到水电站优化调度的全局优化方案,提高运算效率。The mathematical model for hydropower station optimal scheduling is built up based on improved genetic algorithm,in which the constraints are dealt with dynamic penalty function designed by annealing penalty factor and adaptive genetic operators are introduced.An example study shows that the algorithm can quickly and effectively get optimal scheduling program of hydropower station,and improve operational efficiency.

关 键 词：优化调度 遗传算法 水电站 

分 类 号：TM734[电气工程—电力系统及自动化]