Research on optimal load allocation in hydropower station based on DQN algorithm
Load allocation of hydropower station is the basis of automatic power generation control system,and the conventional method is difficult to adapt to the complex and diversified multi-objective regulation and control re-quirements.This paper constructs a load distribution model that takes into account the demand of water resources and electric power,and develops an efficient solution algorithm based on the DQN(Deep Q-Netwoek)algorithm.Taking Zhentouba Hydropower Station as an example,the water consumption of power generation in the dry period is reduced by 0.14％,which improves the operation economy of the power station;and the variance of water level variation in the flood season is reduced by 0.876 m2,which effectively suppresses the water level fluctuation of the power station.At the same time,the accuracy of load distribution calculation is improved from 3-5 MW to 1 MW,and the calculation efficiency is improved by 88.2-106.4 times,which can provide technical support for the sched-uling and operation of complex hydropower systems in the new period.
load allocationreinforcement learningeconomic operationwater-electricity regulationefficient decision making
万方数据
维普
