Study Of The Distribution Network Planning Considering V2G Effect Of Electric Vehicles

In recent years, facing with the problems of increasingly urgent energysecurity and environmental deterioration,developing new energy vehicles which are lowenergy consumption and environmental protection to replace traditionalfossil fuel vehicles is one of the most significant solutions.Electric Vehicles(EVs),as a newgeneration of transport,have lots of incomparable advantages on energyconservation, reducing dependence on traditional fossil energy comparing withconventional cars.EVs have become one of the new direction of the development ofautomobile industry. Large-scale EVs charging would have a signi cant impact on thepower grid, which should be taken into consideration in the process of the distributionnetworks planning and operating.The rational charging stations planning will not onlyreduce the impacts of EV charging,but also will play an important role in the promotion ofEVs.This paper studies the distribution network planning issue considering EV chargingstations.This paper takes consideration of the impacts to distribution network planning ofEV participating in V2G applications,builds distribution network active power planningmodel and reactive power planning applying to centralized charging stations integrationinto power systems respectively.This paper uses the statistical model of the charging power demand to determine thecapacity of the EV charging stations in the regions to be planned, then applies thecombination weighing method including the analyic hierarchy process(AHP) anddeviation maximization to determine the weight coefficients of candidate addresses. Thedifference between1and the weight coefficient is treated asthe cost coefficient of charging station. Considering the impact of V2G, the reasonableelectricity price volatility is utilized to guide the EV users rational and orderly charging ordischarging in the peak-load periods. The EV charging stations operating as load andpower source are defined the corresponding operating weight coefficient to calculate theintegrated operational cost of the distribution network. The objective function ofdistribution network planning optimal model is the minimum total cost comprising the fixed investments, the maintenance costs and the operational costs of the substations,charging stations and feeders, and besides the interest of annuity loan in this paper, whichis solved by the ordered optimization algorithm. Furthermore, the results of the case studyof IEEE54nodes model verify the effectiveness of the proposed model.Based on the active power planning scheme,this paper proposes a method which usesdivision-comprehensive sensitivity to determine the best reactive power compensationnodes in each region.For the V2G load character of EVs,this paper establishes reactivepower compensation device optimal deployment model whose objective function isminimum expenditure of compensation device investment and network loss,whose bestsolution is solved by the genetic algorithm. The results of the case study of IEEE54nodesmodel verify the effectiveness of the proposed model,which canimprove the level of operating voltage and reduce network losses effectively.