Multi-objective Mobile Energy Storage Scheduling Based On Improved Bat Algorithm
Under the influence of random charging of large-scale electric vehicles and other factors,the peak valley difference of power grid is prominent.Firstly,we calculated the dispatching power of multiple types of mobile energy storage(electric vehicles,mobile energy storage vehicles,hydrogen fuel power generation vehicles),and established various mobile energy storage models considering traffic energy consumption.Among them,for the energy consumption of electric vehicle transportation,the corresponding subsidy system was established according to the impact of electricity price on users'willingness to participate.For the other types,only transportation energy costs were taken into account.Secondly,aiming at the distribution network load peak valley difference,new energy utilization rate and distribution network operation cost,the weight of different objective functions was adaptively determined by using the concept of hy-perplane,and the multi-objective was normalized to establish three types of mobile energy storage coordinated schedu-ling models.Thirdly,the improved bat algorithm was used to solve the problem,and the multiple type mobile energy storage collaborative scheduling scheme was obtained.Among them,the basic bat algorithm was improved by introdu-cing Cauchy mutation inverse cumulative distribution function,and the improved bat algorithm effectively improved the optimization speed and global search ability.Finally,the simulation results in IEEE33 bus system proved the effective-ness of the scheduling scheme.
multiple types of mobile storagetransportation energy consumption subsidymulti-objectiveimproved bat algorithm
万方数据
维普
