Research On Method Of Vehicle-storage Hybrid Configuration In Active Distribution Network

Energy shortage and environmental pollution are the thorny problems facing the world today.DG such as wind power and photovoltaics have become an important part of the active distribution network relying on their own environmental protection and renewable characteristics.However,it poses a serious threat to the safe and stable operation of the power grid due to the randomness and volatility of its output power.The energy storage system can quickly adjust the power and absorb or release excess energy,which is the key to the flexible regulation of the grid-connected DG and network optimization operation in active distribution network.But the high cost limits its large-scale configuration applications at present.Based on this,this paper turns its attention to an emerging resource in the active distribution network——electric vehicles.With the country’s vigorous promotion and support for the electric vehicle industry,it is foreseeable that electric vehicles will gradually become popular in the near future.It relies on electrical energy as energy supply and has no exhaust emissions.In addition,the power battery is the carrier of its energy,so the electric vehicle can be used as both load charging and power generation,which can be regarded as a mobile energy storage device in active distribution network to reduce the investment in fixed energy storage.The above advantages make electric vehicles have broad development prospects,this paper will focus on the optimization problems of electric vehicles in various typical application scenarios in active distribution network,from the location and capacity of electric vehicle charging stations,smooth distributed power output with the integration of traditional energy storage,and the improvement of building energy consumption three part to discuss.The specific work is summarized as follows:Firstly,briefly introduces the existing electric vehicle classification and charging facility modes in the domestic market.Analyses the time and space characteristic of electric vehicle charging demand through monte carlo method and the idea of travel chain,then establishes the charging model of electric vehicle.Proposes a charging station location and capacity optimization model that takes electric vehicle users’ satisfaction into account,the genetic algorithm is used to optimize the charging station address coordinates and the Voronoi diagram is used to determine the service range of the charging station and the capacity allocation.Secondly,analyses the output data selection and characteristics of DG in active distribution network,and determines the requirements of energy storage system for smoothing power fluctuations.Introduces the types and performances of electric vehicle energy storage and traditional energy storage respectively and determines the vehicle-storage hybrid configuration method,the electric vehicle energy storage is responsible for smoothing the power components with higher amplitude and slower change,and the supercapacitor is responsible for smoothing the remaining power components with lower amplitude but frequent changes.The principle of wavelet packet transform decomposition is deduced.Then the power smoothing configuration formula and strategy of vehicle-storage hybrid system based on wavelet packet transform are proposed.Finally,analyzes various types of intelligent buildings and various load characteristics in buildings,and builds an intelligent building system model with electric vehicle access.The concept of building load aggregator is proposed to reduce the peak-to-valley difference of building equivalent load and economical optimization.From the perspective of the electric vehicle and energy storage scheduling optimization,the development of a vehicle-mixed configuration method for intelligent buildings.The concept of building load aggregator is proposed.Formulates the vehicle-storage hybrid configuration method for intelligent buildings from the perspective of reducing the peak-to-valley difference of the equivalent load of the building and the economical efficiency.