Research On Allocation And Scheduling Strategy Of Mobile Energy Storage Capacity For Peak Load Shifting

Urban load spikes and the penetration rate of distributed power sources continue to rise,the active distribution network has the risk of further increasing the peak-to-valley gap.The mobile energy storage system(MESS)has time-space flexibility,and its development and application provide new ideas and methods for peak load shifting of distribution network.The allocation of mobile energy storage capacity affects its investment economy,and the scheduling strategy affects its operation economy and power supply reliability.Therefore,studying mobile energy storage’s participation in active distribution network peak load shifting optimization scheduling and capacity allocation are the key to the commercial application of mobile energy storage system.The main research results of this paper include:(1)A mobile energy storage capacity configuration method for peak load shifting is proposed.This method considers the initial investment cost of mobile energy storage,daily operation and maintenance costs,peak and valley electricity price arbitrage benefits,delayed grid upgrade benefits,and energy storage system recovery residual value.With the goal of minimizing the net cost of mobile energy storage,an optimized configuration model of mobile energy storage peak load shifting capacity is established.Based on k-means clustering algorithm to divide photovoltaic and wind turbine output data to construct a combined typical daily scene;chaotic particle swarm algorithm is used to solve the proposed model.(2)When the capacity is configured,based on the mobile energy storage system four-quadrant output capability,considering active power participation in peak shaving and reactive power participation in voltage regulation,an optimization scheduling method for MESS in active distribution based on voltage sensitivity analysis is proposed.Firstly,in view of the coupling effect between the MESS output and the access position,the reactive voltage correction sensitivity that satisfies the affine relationship under the active power is derived.Secondly,considering the adjustment requirements of different node voltages under different network structures,a dynamic reactive voltage correction sensitivity calculation method is proposed to determine the timing optimal access plan of MESS.Subsequently,a two-tier optimal scheduling model that fully considers operating economy and reliability is constructed.And the proposed model is solved by enhanced firework algorithm.Finally,taking the IEEE 33 bus power distribution system as an example,the proposed model is solved by enhanced firework algorithm(EFWA).The results show that the proposed method can not only ensure that the MESS has good economic benefits,but also can effectively reduce the load peak-valley difference and improve the overall voltage level of the distribution system.(3)Based on the mobile energy storage system in multiple application scenarios,a two-layer optimal dispatch scheme that comprehensively considers the reliability and economy is proposed.Firstly,a mobile energy storage system peak shaving optimal dispatch model is established,the upper layer takes the minimum equivalent load standard deviation and the highest net income as the optimization goals,and aims to reduce the peak-to-valley load difference and realize price arbitrage.The lower layer takes the minimum network loss as the optimization goal and aims to determine the optimal dispatch for mobile energy storage.Then,a solution algorithm for optimal dispatch is developed.In order to adapt to the high dimensional nonlinear characteristics of the lower model,an improved enhanced fireworks algorithm based on Cauchy and Gaussian mutations was proposed.Finally,the IEEE 33-bus system and the actual load data of a certain area are used for simulation analysis.The results verify the effectiveness and feasibility of the proposed model and solution algorithm.