Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (7): 17-21.doi: 10.16180/j.cnki.issn1007-7820.2019.07.004

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Research on Scheduling of Pumped Storage Cascade Reservoir Based on SEOA Algorithm

ZHANG Xueying,WU Xiaoting,Daniel Eiliote Mbanze,ZHOU Zhengwei   

  1. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station,China Three Gorges University,Yichang 443002,China
  • Received:2018-07-27 Online:2019-07-15 Published:2019-08-14
  • Supported by:
    Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University Open-end Fund(2013KJX08)


Aim ing at the curse of dimensionality of power generation dispatching in cascade reservoirs with hybrid pumped storage power stations,based on the randomness and nonlinear characteristics of historical runoff series,a longterm optimal dispatching model of cascade reservoirs with hybrid pumped storage power stations was established.In the scheduling period,the maximum generating capacity of the cascade pumped storage power station was selected as the objective function,and the improved social emotional optimization algorithm was introduced to solve the problem.Taking a mixed flow cascade power station as an example,the simulation results showed that the new method could reduce the redundant calculation of traditional algorithms,and effectively combined the decision-maker’s subjective preference as well as interest propensity in the optimal operation of cascade type reservoirs in hybrid pumped storage power stations. Compared with the dynamic programming algorithm,the new method used a high-quality solution with an annual power generation of 66.96×108 kWh in a short period of time.

Key words: hybrid storage hydropower station, reservoir operation, social emotional optimization algorithm, dynamic programming, electricity generation, cascade reservoir

CLC Number: 

  • TP9