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《Journal of Hydroelectric Engineering》 2018-01
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Improved social emotional optimization algorithm for optimal operation of cascade hydropower stations

LIU Qiang;ZHONG Ping'an;CHEN Yuting;XU Bin;ZHU Feilin;College of Hydrology and Water Resources,Hohai University;Power China Huadong Engineering Corporation;Water Development,Planning & Research Center of Zhejiang Province;  
Exploring new solving methods has always been one of the hotspots for the study on optimal reservoir operation.The social emotional optimization algorithm(SEOA) is a new heuristic intelligent optimization algorithm,but it has not been applied to reservoir operation yet.In application of SEOA to the operation of cascade hydropower stations,this study formulates an initial population uniform design to overcome the low representativeness of initial population caused by stochastic generation,and develops a population elimination strategy aiming at the low activity of population and the tendency of local convergence caused by some individuals' premature convergence.Thus an improved social emotional optimization algorithm(improved SEOA) is achieved.A case study shows that this algorithm is efficient and stable,and it has a great search capability in solving the optimal operation models of cascade hydropower stations.
【Fund】: 国家自然科学基金(51579068;51379055)
【CateGory Index】: TV737
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