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Integration Of Electric Vehicle Virtual Power Plant Flexibility In Fistribution Network Planning With High Penetration Of PV

Posted on:2024-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y ZhangFull Text:PDF
GTID:2542306941469824Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the goal of carbon peak,carbon neutral proposed,photovoltaic power generation and electric vehicles which develop vigorously as the new members of the power system has become a necessary means to solve the problem of global energy shortage and reduce the environmental pollution caused by non-renewable resources.Among them,the high proportion of photovoltaic access to the grid increases the volatility and uncertainty of the output at the source side of the distribution network.The method of power tracing load in the traditional planning method is no longer applicable to the current distribution network planning.At the same time,the popularity of electric vehicles has also greatly increased the flexibility of the demand side load of the distribution network,providing a new research idea for improving the PV absorption and realizing the peak shaving and valley filling of the power system.In view of the above problems,this paper mainly focuses on the distribution network planning including high proportion photovoltaic and large-scale electric vehicles.First of all,the existing problems in the current research on distribution network planning are analyzed,the defects of the distribution network with unidirectional power supply structure are proposed,and the research status of electric vehicle virtual power plant and distribution network planning are described respectively,and the overall concept of distribution network planning research considering the flexibility of electric vehicle virtual power plant and the access of high proportion of photovoltaic power is proposed.Then this paper analyzes the quantitative method of the resource flexibility of the electric vehicle virtual power plant,establishes the quantitative model of the resource flexibility of the electric vehicle virtual power plant.The charging and discharging optimization is carried out with the goal of maximizing the comprehensive income of cluster electric vehicle aggregators in different scenarios under the time-of-use electricity price,which can obtain the optimal charging and discharging power,and uses this as the benchmark power to calculate the reserve capacity of the electric vehicle cluster participating in centralized regulation.Finally,a distribution network planning model considering the flexibility of EV virtual power plant and high proportion of PV access is established.In this model,the reserve capacity of EV cluster derived from the flexibility quantification model of EV virtual power plant resources is used as the upper and lower limit of the adjustment of demand-side flexibility resources in the distribution network planning model.With the goal of minimizing the annual comprehensive investment cost of the distribution network line,taking into account the renewable energy consumption,the investment cost of the energy storage system and the flexibility compensation cost of the electric vehicle virtual power plant,in order to achieve the peak shaving and valley filling of the power system while improving the economy of the distribution network planning,and improve the PV output consumption rate.The model is simulated and verified with IEEE RTS-24 node distribution network system as an example.The calculation example shows that the planning model proposed in this paper uses the flexibility of energy storage system and electric vehicle to reduce the planning and operation cost of the system,and improves the absorption rate of photovoltaic power stations in the distribution network,which can provide reference and reference for the future planning of electric power systems that include a high proportion of renewable energy and virtual power plant flexibility resources.
Keywords/Search Tags:distribution network planning, large-scale photovoltaic access, electric vehicle virtual power plant, consumption of renewable energy
PDF Full Text Request
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