摘要
针对电力市场下基于竞价的日发电计划的特点 ,提出一种充分结合遗传算法和排队算法各自优点的混合智能算法。该算法利用遗传算法在求解离散组合优化问题上的强收敛性和鲁棒性进行机组优化组合 ,利用排队算法的简洁性和快速性进行经济功率分配。同时 ,利用基于专家知识的免疫遗传算法来提高机组优化组合的计算速度。通过对某实际电力市场基于竞价的日发电计划的计算和分析 。
An intelligent optimization algorithm with a combined use of the genetic algorithm and merit-order method is proposed for generation scheduling in bid-based electricity markets. The genetic algorithm is applied to solve the unit commitment for its outstanding characteristics of global convergence and robustness. The well-known merit-order algorithm is used to determine the dispatching levels of participating generators. The traditional immune genetic algorithm is improved by utilizing expert knowledge for assistance in searching feasible solutions. The proposed algorithm is applied to a practical system, and numerical results verify the correctness and validity of this method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2002年第21期34-38,共5页
Automation of Electric Power Systems
基金
国家电力公司重点学科资助项目
