The Day-Ahead Optimization Dispatch of Active Distribution Networks Based on Electric Vehicle Incentive Strategy
To address the adverse impact of large-scaled disorderly charging of EVs on the load peak-valley difference of the distribution network,this paper proposes an optimized scheduling model for active distribution networks,considering the EV users'response potential resulting from the stimulation of orderly charging and discharging.Firstly,with load variance,system operating cost and user charging as targets,the orderly charging and discharging of electric vehicles are considered on the basis of the active distribution network model,and the incentive strategy is added to make electric vehicle users fully respond to the network scheduling.Secondly,for the problems of slow convergence speed and low iteration accuracy in the standard moth-to-flame algorithm,an improved moth-to-flame algorithm based on tent chaotic mapping,adaptive weight and Gauss-Cauchy mutation strategy is proposed to solve the model.Finally,a simulation analysis is carried out in the improved IEEE33 node system.The results show that the established model and method are feasible and effective.
active distribution networkelectric vehiclesorderly charging and dischargingoptimized scheduling modelimproved moth to fire algorithm
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