基于信息熵的梯级水库联合优化调度增益分配法

doi:10.11660/slfdxb.20200209

Abstract

Abstract: Difficulties in benefit distribution for optimal joint operation of cascade reservoirs are analyzed. Considering the limitation of the Shapley value method, a new benefit distribution method based on information entropy is developed and applied to seven cascade reservoirs in the Wu River basin. Compared to the Shapley value and single-index allocation methods, this method needs a smaller set of data and is more efficient in calculations; its results are more equitable and reasonable, motivating managers to participate joint reservoir operation and improving hydropower resources utilization efficiency.

Key words: cascade reservoirs, optimal operation, benefit distribution, information entropy, cooperative games

ZHANG Jianting, GUO Shenglian, CHEN Kebing, HE Shaokun. Benefit distribution method based on information entropy for optimal joint operation of cascade reservoirs[J].Journal of Hydroelectric Engineering, 2020, 39(2): 94-102.

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Benefit distribution method based on information entropy for optimal joint operation of cascade reservoirs

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