| In recent years,global climate change has intensified,and frequent extreme weather has caused huge damage and economic losses to the power system.Due to the components and structure,the distribution network can easily become the hardest hit area under extreme weather.With the rapid advancement of battery technology,mobile energy storage,as an emerging emergency power supply method,is gradually applied to the planning and operation of the distribution network.Mobile energy storage provides new options for power operation departments to deal with large-scale power outages caused by extreme weather.In order to improve the utilization efficiency of mobile energy storage and reduce investment,it is necessary to formulate a reasonable scheduling plan and capacity allocation strategy,but the current research is relatively lacking.Based on this,under the funding of the National Key Research and Development Program(2017YFB0902200),this article conducts research on the assessment of the elastic impact of mobile energy storage on the distribution system and capacity allocation under the influence of extreme weather.The main research contents are as follows:Before a disaster,active scheduling of mobile energy storage based on forecast information can increase the timeliness of mobile energy storage utilization,thereby shortening the load outage time.For this reason,this paper proposes a pre-disaster location scheduling model for mobile energy storage that considers random failures of distribution network lines under extreme weather.This model takes the minimum loss of load of the system as the objective function,and considers the influence of traffic flow in the operation constraints of mobile energy storage.First,establish the path prediction model and wind field model of typhoon weather,predict the failure probability of distribution lines,and use Monte Carlo sampling to obtain network failure scenarios;then,considering the impact of road traffic,establish the path selection model of mobile energy storage coupling network between the road network and the power grid,and determine the transfer time of mobile energy storage between nodes.Finally,considering the charging and discharging process and travel time of mobile energy storage,the optimal location scheduling model of mobile energy storage is established.This model is a mixed integer optimization model,which can be solved by existing solvers.Taking the IEEE 33-node test system as an example for analysis,the calculation example shows that compared with the operation mode without pre-disaster location scheduling,the expected power outage of the system can be reduced by 6.2%.The scheduling strategies of the maintenance team and mobile energy storage have an impact on each other.Comprehensive consideration of the two can accelerate the recovery process of system performance and improve the elastic performance of the system.To this end,this paper considers the influence of mobile energy storage on the maintenance time series of faulty lines,and establishes a cooperative scheduling model for mobile energy storage equipment and maintenance teams.First,the statistical method for obtaining the repair time of the components is discussed,and the repair sequence optimization model of the repair team with the smallest total loss of load is established;then,considering the impact of mobile energy storage,based on the pre-disaster scheduling of mobile energy storage,the mobile energy storage system is established.A multi-period joint scheduling model with the participation of energy storage;finally,according to the recovery process of the distribution network after extreme weather,three indicators that can describe the effect of mobile energy storage on the elastic performance of the system are proposed,and the information containing mobile energy storage is given.The resilience assessment process of the distribution system.Taking the IEEE 33-node power distribution test system as an example for analysis,the calculation example shows that the participation of mobile energy storage can affect the repair sequence of the system,and the cooperation of mobile energy storage and maintenance teams can effectively improve the elasticity of the system by more than 15%.The investment in mobile energy storage equipment is relatively large,and the investment model established is not accurate if it simply considers the operating benefits under extreme weather or under daily operating conditions.To this end,this paper establishes a mixed integer capacity planning model that considers the elastic value gain of mobile energy storage and the value gain of normal operation.First,based on the reduced power outage loss of mobile energy storage in extreme weather,establish an elastic revenue model of mobile energy storage;then,explore the use value of mobile energy storage in the normal operation of the distribution system,and establish the process of mobile energy storage during power outages.,As an alternative power source for power supply revenue model,and the benefit output model of charging when the electricity price is low,and discharging when the electricity price is high;finally,combine extreme scenarios and normal operation scenarios to establish a power capacity investment model for mobile energy storage.Taking the IEEE 33-node power distribution test system as an example for analysis,the calculation example shows that the model can filter out better planning schemes,make reasonable suggestions for investment decisions in mobile energy storage,and analyze the number of power outages scheduled for the system The impact of factors such as the frequency of extreme weather in the system on the planning results. |
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