水利水电科技进展2017，Vol.37Issue(2)：48-54,7.DOI:10.3880/j.issn.1006-7647.2017.02.009
基于Fork/Join多核并行框架的梯级水库群优化调度
Optimal operation of cascaded reservoirs based on Fork/Join multi-core parallel framework
摘要
Abstract
In order to meet the refined management demand of optimal operation of large-scale cascaded reservoirs and solve the problems of long running time and low computational efficiency, a parallel method based on the Fork/Join multi-core parallel framework is proposed for optimal operation of large-scale cascaded reservoirs. A parallel discrete differential dynamic programming ( PDDDP ) was designed to describe the parallelization scheme for optimal operation of cascaded reservoirs based on the Fork/Join framework. The long-term power generation optimal operation of large-scale cascaded reservoirs on the Hongshui River was used as a case study. The testing results show that the parallel method can make full use of the acceleration performance of the multi-core processor, significantly reducing the computation time, and improving the computational efficiency. Moreover, the choice of the reasonable scale control threshold of the Fork/Join framework is critical to taking full advantage of parallel computation.关键词
梯级水库群/优化调度/Fork/Join并行框架/多核处理器/并行计算Key words
cascaded reservoirs/optimal operation/Fork/Join parallel frame/multi-core processor/parallel computing分类
建筑与水利引用本文复制引用
王森,马志鹏,李善综,王凌河,熊静..基于Fork/Join多核并行框架的梯级水库群优化调度[J].水利水电科技进展,2017,37(2):48-54,7.基金项目
水利部公益性行业科研专项(201401013,201501010) （201401013,201501010）
