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机构地区:[1]大连理工大学水电与水信息研究所,辽宁大连116024 [2]华能澜沧江水电集控中心,云南昆明650214
出 处:《水利学报》2012年第4期422-428,共7页Journal of Hydraulic Engineering
基 金:国家自然科学杰出青年基金资助项目(51025934);国家自然科学基金资助项目(50979010)
摘 要:针对梯级水电站群调度目标间的协调问题,建立了多目标优化调度模型,提出了基于灰色关联度法与熵权理想点法相结合的迭代计算方法。应用灰色关联度法将多目标优化模型转换成多个单目标优化模型,并采用逐步优化算法求解,得到多目标优化数学模型的非劣解集,以熵权理想点法从非劣解集中选择最优解。澜沧江流域梯级水电站群的实例研究表明,该方法较好地处理了不同目标间、不同目标权重组合方案间双重多目标优化问题,为协调长期优化调度多目标间的矛盾提供了一种可行方法。A multi-objective optimal operation model for cascaded hydropower systems to coordinate different operation objectives is proposed. An iterative algorithm is proposed in which grey correlation method and entropy weighting ideal point method are combined. Grey correlation method is used to transform the multi single objective problems to be solved by POA algorithm, so that a non-inferior set is obtained. The optimal solution in the non-inferior set is selected by entropy weighting ideal point method. The case study on the Laneang River cascaded hydropower system shows that the proposed methods solve the two-tier multi-objective problem of different objectives and different weight sets, and is feasible to address the problem of multi-objective balance for long-term reservoir system optimal operations.
分 类 号:TV211.1[水利工程—水文学及水资源]
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