Application Research Of Differential Grey Wolf Algorithm In Economic Dispatch With Battery Swapping Station

Economic dispatching of power system is a high-dimensional,nonlinear,non-convex constrained optimization problem.The distribution of load is computer-based.Using a good performance algorithm not only makes the power distribution more reasonable,but also increases the overall power grid.Economic benefits.After the introduction of the power station,the scope of the power grid to be dispatched is increased,which makes the convergence rate of the power flow calculation slow or not converge.The variables to be optimized are increased,which is easy to form a “dimension disaster”,and an effective solution for solving the economic dispatch of the large power grid is needed.method.Therefore,this paper proposes a differential gray wolf algorithm to solve the problem of economic dispatching with battery swapping stations.Firstly,the standard differential evolution algorithm and gray wolf algorithm are deeply studied from the basic principles of the algorithms and the mathematical models.The convergence of the algorithm is analyzed,and the shortcomings of the algorithm are pointed out.In order to study the algorithm in the economic dispatch model,15 units and 38 units were used for simulation.Secondly,a differential grey wolf combination algorithm is proposed,which uses the characteristics of differential evolution to prevent the gray wolf algorithm from falling into local optimum.At the same time,in order to avoid prematurely converge of the differential evolution algorithm,the characteristics of the gray wolf is needed.The performance test of the combined algorithm using 10 test functions verified the excellent performance of the differential gray wolf algorithm.Considering the application of the combination algorithm in the economic dispatch model,15 units,38 units,110 units and 140 units were tested to verify the effectiveness of the algorithm in the economic dispatch model.Finally,an economical scheduling model of centralized power station with the total economic dispatching cost as the objective function is established,and the improved differential gray wolf algorithm is used to optimize the model,and the differential evolution algorithm and gray are adopted.The Wolf algorithm is optimized and compared.The feasibility and superiority of DEGWO for the economic dispatch of centralized power station are verified by the simulation of IEEE30 node 6 unit.