中国电机工程学报2011，Vol.31Issue(1)：94-100,7.
中期火电开机优化的混合搜索算法
Optimization of Medium-term Thermal Power Boot Based on Hybrid Search Algorithm
摘要
Abstract
This paper presents a hybrid search algorithm for the optimization problem of medium-term thermal power boot.The algorithm uses actual demand as the point of departure and equal capacity utilization hours of all thermal power plants as the goal.The algorithm consists of two steps.In the first step we get initial solution by heuristics.In the second step vertical search and lateral search are combined to find global optimal solution.At this step, vertical search is based on progressive optimality algorithm and lateral search is used to jump out of local optimization.The algorithm has the merits with simple process, quick convergence and avoiding local optimum.The actual data is used in a system with 9 power stations and 27 units to verify the algorithm.The results demonstrate the real-time processing capacity and accuracy can satisfy the actual demand.关键词
混合搜索算法/中期火电开机优化/装机利用小时数/机组组合/纵向搜索/横向搜索Key words
hybrid search algorithm/ optimization of medium-term thermal power boot/ capacity utilization hours/unit commitment/ vertical search/ lateral search分类
信息技术与安全科学引用本文复制引用
王静,廖胜利,程春田,蔡华祥..中期火电开机优化的混合搜索算法[J].中国电机工程学报,2011,31(1):94-100,7.基金项目
国家重点基础研究发展计划项目(973项目)(2009CB226111) （973项目）
国家自然科学基金项目(50979010). （50979010）
