A Short Term Operation Method for Cascade Reservoirs Based on Hyperheuristic Algorithm
To improve the short-term power generation of cascade reservoirs,taking the cascade reservoirs in a certain region as an example,a hyperheuristic algorithm was used to design an optimization scheduling method for reservoirs from a short-term perspective.Design the short-term maximum power generation of the reservoir as the scheduling objective,the water use processes of each hydropower station and hydropower plant were optimized to meet the maximum power generation demand.On this basis,the short-term optimization scheduling objective function of cascade reservoirs were designed.By utilizing the global retrieval capability of hyper heuristic algorithms,an analysis was conducted on the training conditions and individual fitness of parameters in the upper level of the heuristic function.Taking into account the conflicts or competitive relationships in water resource allocation and utilization among reservoirs at different levels,the concept of hyper heuristic particles was introduced to train multiple parameter values of the input objective function.In this way,function constraints were generated.The parameters were substituted to meet the constraint conditions into the short-term optimization and scheduling objective function of the designed cascade reservoirs.By solving the objective function,the optimal short-term scheduling value of the cascade reservoirs was outputed and the design of the optimization and scheduling method was completed.Experimental results showed that the design method could increase the power generation of reservoirs,and increase the growth rate of cascade reservoirs while ensuring stable daily inflow and total daily power consumption.
国家科技期刊平台
NSTL
万方数据
