华中科技大学学报（自然科学版）2013，Vol.41Issue(1)：16-20,5.
大规模水电站群短期优化调度的并行求解
Parallelly solving short-term optimal operation for large-scale hydropower plants
摘要
Abstract
The objective was to solve the short-term optimal operation in large-scale hydropower plants, A parallel-solving method based on decomposition of hydropower plants was proposed. In this scheme, according to a certain regulation, the hydropower plants were decomposed to form a series of relatively independent computing units. Then, successive approximation dynamic programming (DPSA) , progressive optimization algorithm (POA) and parallel computing were used to solve the optimization for hydropower plants. Finally, the optimizing results of the whole hydropower plants were obtained by integration. The feasibility of this method was verified by the examples. Compared with the simulation results of serial method, it is effective and superior.关键词
水电站/大规模水电站群/短期优化调度/电站群/分解/并行计算Key words
hydropower plant/ large-scale hydropower plants/ short-term optimal operation/ hydro- power plants decomposition/ parallel computing分类
建筑与水利引用本文复制引用
郑慧涛,梅亚东,杜亚平,黄春雷..大规模水电站群短期优化调度的并行求解[J].华中科技大学学报（自然科学版）,2013,41(1):16-20,5.基金项目
国家自然科学基金资助项目(50839005). （50839005）
