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中文摘要：
针对在求解大规模水电站群短期优化调度问题过程中,随电站数和时段数的增加,算法解算能力和时效性难以保证的问题,提出了一种基于水电站群分解的并行求解方法.该方法首先按照一定规则对目标电站群进行分解,形成若干相对独立的计算单元;随后应用逐次逼近动态规划、逐步优化方法,结合并行计算技术对电站群进行并行求解;最后通过归约整合得到整个电站群的优化结果.通过实例计算,证明了该方法的可行性;与串行方法的模拟结果对比,说明了该方法的有效性和优越性.
英文摘要：
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.
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