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Research On Optimal Scheduling Strategy For Electric Vehicles Considering Wind Power Operation In Grid

Posted on:2019-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:H Z LiuFull Text:PDF
GTID:2382330566977016Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As the problem of ecological energy and environment is becoming more and more prominent,it has become an important way for energy saving and emission reduction to popularize the new energy generation methods such as electric vehicles and the development of wind power.In the smart grid containing electric vehicles and wind power,the natural change of wind energy,the real time changes of the load and the randomness of the electric vehicle access will bring great difficulties to the stable operation of the power system.With the battery technology of electric vehicle and the mature of wind power grid connected technology,it is the key to coordinate and dispatch the operation of the large-scale electric vehicle and the wind power grid to operate in a stable and safe operation of the smart grid.In this paper,aiming at the problem of the coordinated dispatch of electric vehicles and wind power grid,the reactive power management ability of the variable speed fan is analyzed,and the wind power grid connection optimization reactive power model is set up.At the same time,the characteristics of charging and discharging of electric vehicles are analyzed,and the reactive power compensation model considering electric vehicles is established.Considering the structure constraints of the power system,power balance,the number of electric vehicles and charge and discharge power constraints,the optimal unit configuration and the pre scheduling capacity of the electric vehicle aggregators in the space and time distribution are obtained by solving the genetic algorithm.The simulation analysis of the system with 6 nodes and 3 units shows that the paper model can effectively realize the optimal dispatching of large-scale electric vehicle and wind power grid,which can reduce the network loss and improve the node voltage quality,and the optimization results have some reference significance for the location planning of the power station.Aiming at the problem of how to choose the scheduling period reasonably in the process of V2 G scheduling of electric vehicle aggregator,a dynamic priority evaluation criterion for EV participation in V2 G scheduling is proposed.This criterion solves the information uncertainty of EV priority value by introducing the concept of information entropy,so as to reduce the change of the fairness of EV.Based on the real time electricity price mechanism,a dynamic scheduling optimization model is established to minimize the cost and maximize the revenue when the power exchange is connected to the electric vehicle and the power system,in order to obtain the optimal charge and discharge scheduling interval for each electric vehicle in the cluster for 24 hours a day.On the basis of the optimal scheduling results of the 6 node system,an example simulation is carried out to obtain the time period combination suitable for charging and discharging of electric vehicles in one day,and the validity and feasibility of the proposed model are verified by a comparison of examples.In order to solve the problem of real-time and orderly control in the V2 G scheduling plan of a single electric vehicle,an evaluation system of electric vehicle aggregator is set up in this paper.Under the condition of real time electricity price,an ordered control strategy of electric vehicle cluster considering demand side response is proposed.Through the improved combination weighting method based on accelerated genetic algorithm,the weight of the evaluation system and the evaluation value of each vehicle are evaluated,thus the priority order of each electric vehicle scheduling in a certain period is obtained,and the actual scheduling capacity of the clusters at different nodes in each period is determined.Based on the scheduling optimization results of the 6 node system,the proposed control strategy is simulated.The results show that the model can effectively control charging and discharging orderly of the vehicles in the aggregator,and make the real-time scheduling capacity consistent with the power grid dispatch plan as much as possible.
Keywords/Search Tags:Wind Power, V2G Scheduling, Reactive Power Optimization, Charging and Discharging Period, Demand Side Response
PDF Full Text Request
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