摘要
目前 ,遗传算法作为一种基于人工智能技术的优化算法在电力系统电源规划中已经得到广泛应用。然而 ,其遗传操作繁杂 ,计算量庞大 ,早熟收敛等问题使其应用受到局限。本文提出一种自然分段式编码 ,成功地将单亲遗传算法 PGA引入水火电混合系统电源规划中 ,通过使用该方法可以大大简化电源规划的计算量 ,避免早熟收敛 ,提高计算效率。算例结果表明 :该算法可以成功解决包含各种类型电源的规划问题 。
Recently,Genetic Algorithm has been widely used in the Generation Expansion plan ning as an artificial intelligence Algorithm.However,the utilization of Genetic Algorithm in practice was limited due to complicated operation,huge calculating and immature convergence.In this thesis,divided natural coding method is propose d to bring PGA to Generation Expansion planning,by this meaning,the calculating will be declined,immature convergence be avoided while the efficiency of calcula ting will be increased by largely.The result of competition examples shows clear ly that this algorithm can resolve the planning of power system including verifi ed kinds of Generations successfully.Besides,PGA will be improved wide by wide.
出处
《电力系统及其自动化学报》
CSCD
2003年第5期14-18,共5页
Proceedings of the CSU-EPSA
