Research On Water Supply-Generation-Ecological Optimization Scheduling Of Reservoir Group Based On Modified Version Of Multi-Objective Whale Optimization Algorithm

With years of continuous development,many large and medium-sized water conservancy hubs have been built in the middle and upper reaches of the Hanjiang River,playing an important role in flood control,water supply,power generation,shipping,and ecology.Danjiangkou Reservoir is the water source of the Middle Route Project of Southto-North Water Transfer.Its stable economic operation is essential for giving full play to the water supply function of the reservoir and ensuring the water safety of the water receiving area.At the same time,Danjiangkou Reservoir also undertakes the comprehensive application of power generation,irrigation water in the northern Hubei irrigation area and downstream ecological water supply demand.In order to give full play to the comprehensive benefits of water conservancy hubs,this paper studies the multi-objective optimal scheduling problem of the upper and middle reaches of the Hanjiang River reservoir,establishes a medium-and long-term multi-objective optimal scheduling model for the upper reaches of the Hanjiang River,and studies and proposes an improved multi-objective whale based on reference points.The algorithm realizes the efficient solution of the model and verifies the effectiveness of the multi-objective scheduling optimization model by simulating the runoff test.The main work content and research results of this paper include the following aspects:(1)For the shortcomings of the single-objective whale optimization algorithm in the optimization process,the global optimization ability is insufficient and it is easy to fall into the premature.The formula of the reduction and increase of the whale algorithm is used to replace the original monotonous decreasing convergence factor change formula of the whale algorithm to enhance its pre-global search.The ability and the probability of jumping out of the local optimum are combined with the reference point-based non-dominated sorting framework,and an improved multi-target whale algorithm based on reference point is proposed,which provides an effective algorithm for solving the multi-objective scheduling problem of reservoir group.(2)Constructing a dispatching model with the largest generating capacity of the reservoir group,the largest water supply volume of the Danjiangkou Reservoir,and the lowest ecological flow rate in the middle and lower reaches of the Hanjiang River.The special operation mode of the Danjiangkou Reservoir power generation flow and water supply flow diversion is proposed.The medium-long-term optimal dispatching problem of the upper reaches of the Hanjiang River reservoir is solved by the method of co-coding the water level of the reservoir and the water supply flow of the pottery water.The water supply efficiency of the cascade reservoirs and the ecological water demand of the middle and lower reaches of the Hanjiang River are improved,and the water supply of the South-toNorth Water Transfer of the Danjiangkou Reservoir is improved.Benefits provide a new idea for the Danjiangkou Reservoir dispatching plan.(3)A general description method of reservoir dispatching map is proposed and applied to multi-objective optimization modeling of the reservoir group in the middle and upper reaches of the Hanjiang River,which reduces the dimension of model decision variables,significantly reduces the complexity of model solving,and improves the application.The target whale algorithm solves the constructed multi-objective optimization model of the scheduling graph,and obtains a set of optimized scheduling graph schemes for different targets,which provides support for the actual scheduling decision.The simulated runoff is used to test the results of the operation chart optimization model,making the model results more scientific and reasonable.