Study on Dynamic Control Model of Reservoir Limited Water Level in Flood Season Combined with Genetic Algorithm
A new adaptive cross mutation genetic algorithm is proposed to solve the dynamic control problem of reservoir flood limit level.The contradiction between flood control benefits and power generation benefits of the reservoir is solved,the reservoir water level is adjusted,and the conflict between flood control benefits and power generation benefits is alleviated.The genetic algorithm increased the original flood season water level by 0.7m,increased the water storage by 2 947m3,and increased the power generation by 233.33×104kW·h.The research results based on the example of Xiashan reservoir show that the dynamic control model of reservoir flood limit water level combined with genetic algorithm can not only adjust the water level in real time,but also improve the reservoir benefit.The research results can be applied to the flood control system of each reservoir.
genetic algorithmflood limit water levelreal number codingsingle point crossingwater level control
NETL
NSTL
万方数据
维普
