水利学报Issue(8)：903-911,9.DOI:10.13243/j.cnki.slxb.2014.08.003
库群长期优化调度的正交逐步优化算法
Orthogonal Progressive Optimality Algorithm for long-term optimal operation of multi-reservoir system
摘要
Abstract
In order to overcome the curse of dimensionality of Progressive Optimality Algorithm (POA) in solving the long-term optimal scheduling of cascade reservoirs, Orthogonal Progressive Optimization Algo-rithm (OPOA) is proposed on the basis of the orthogonal experiment design method, reducing the dimen-sions of stages,the number of discretization of water level and cardinal number of set. Firstly,POA is em-ployed to decompose multistage decision problem into several two stage sub-problems, and then solve each sub-problem by carrying out the orthogonal experimental design multiple times, taking the objective func-tion as experimental index, reservoirs as experimental factors and discrete status as factor levels. All sub-problems are calculated respectively by building water levels in equilibrium distribution, until obtaining the optimal solution of each sub-problem successively. The computer simulation results of 4 reservoirs in the Wujiang River show that OPOA is distinctly superior to particle swarm optimization and takes only the 28.4 percent of the computing time compared to POA in obtaining the global optimal solution, which is an effective algorithm in long-term optimal operation for hydropower system.关键词
正交试验/POA/库群/长期优化调度/降维Key words
orthogonal experiment/progressive optimality algorithm/multi-reservoir system/long-term opti-mal operation/dimensionality reduction分类
建筑与水利引用本文复制引用
冯仲恺,廖胜利,程春田,苏华英..库群长期优化调度的正交逐步优化算法[J].水利学报,2014,(8):903-911,9.基金项目
国家863重大专项（2012AA050205）；国家自然科学基金资助项目 （）
