摘要
本文结合梯级水库中长期发电优化调度问题,针对差分演化算法在进化过程中,其适应度的进化模式未考虑进化的外部环境与进化成分之间的内在联系,借鉴生态学对个体生存环境与种群竞争的关系,提出了协同差分演化算法在梯级水库中长期发电优化调度中的应用。通过实例验证,结果表明该算法具有可靠性与合理性,提高了计算精度和计算效率,为高维、复杂的梯级水库中长期发电优化调度模型提供了一个新的求解途径。
For optimal operation of cascade reservoirs,this paper puts forward a coopetive coevolution of differential evolution algorithm that originated from the ecology＇ s relationship between individual living environment and population competition.In this algorithm,the model of fitness evolution considers the evolution of external environments and internal links of population competition.Practical application shows that this method can improve accuracy and efficiency of modeling and it would provide a new approach for operation of high-dimensional and complex cascaded reservoirs.
出处
《水力发电学报》
EI
CSCD
北大核心
2012年第3期39-43,共5页
Journal of Hydroelectric Engineering
基金
国家自然科学基金(51109189)
中国博士后科学基金资助项目(20100471007)
关键词
梯级水库
发电调度
差分演化算法
协同进化
cascaded reservoirs
generation operation
differential evolution algorithm
coevolution
