Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (1): 68-72.doi: 10.16180/j.cnki.issn1007-7820.2020.01.013

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The Application of Gradient Descent Method in Optimizing the Dispatching Function of Reservoirs

WANG Wei,HU Yiming,SHI Qiang   

  1. Hubei Provincial Key Laboratory of Operation and Control of Cascade Hydropower Stations,China Three Gorges University,Yichang 443002,China
  • Received:2018-12-27 Online:2020-01-15 Published:2020-03-12
  • Supported by:
    Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control, China Three Gorges University Open-end Fund(2013KJX08)

Abstract:

The dispatching function is a common method for formulating long-term operation scheduling of reservoirs. However, the method used to extract the dispatching function by binary linear regression usually gets poor fitting accuracy. Aiming at this problem, the optimal scheduling model with the maximum generating capacity of the reservoir during the dispatching period was established. The reservoir scheduling function coefficients of each period were extracted as the initial values by linear regression. Then the gradient descent method was used to optimize the scheduling function coefficients of each period. The inflow classification strategy was introduced in the period with poor fitting accuracy, and the optimized reservoir scheduling function was finally obtained. The calculation results showed that the effective and practical method used in the paper provided higher precision scheduling function coefficients and ensured the optimal power generation efficiency of the dispatching.

Key words: reservoir operation, power generation scheduling, reservoir operation function, linear regression, gradient descent method, inflow classification strategy

CLC Number: 

  • TP9