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Research On Coordinated Scheduling Strategy Of Microgrid With Electric Vehicles And Distributed Power Sources

Posted on:2022-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2512306524451894Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
In the face of the current use of various fossil fuels and the deteriorating environment,the country vigorously promotes the development of new energy,including the construction of renewable energy wind power and photovoltaic power generation,and advocates the use of new energy vehicles.As the number of electric vehicles continues to increase,electric vehicles are no longer purely a load,but can also be used as a backup energy storage unit.When a large number of electric vehicles and distributed energy sources are connected to the grid,they will inevitably contribute to the safety and stability of the grid.Impact on operation.Therefore,after analyzing the impact of electric vehicles on the microgrid and the users of electric vehicles,coordinated dispatching of electric vehicles and microgrids is carried out to ensure that the stable and economic operation of the grid system is maintained without affecting the users of electric vehicles.This article first introduces the microgrid system model containing electric vehicles,analyzes the power generation principle and output characteristics of each distributed power source in the microgrid,and establishes the corresponding mathematical model.It also analyzes the V2 G technology,driving characteristics and load characteristics of electric vehicles,and uses Monte Carlo method to establish a disorderly charging load model of electric vehicles,which provides a basis for subsequent research.Distributed power output dispatching is the main task of the microgrid operation phase.This task is more concerned about the impact of electric vehicle charging and discharging on the optimal dispatching of gridconnected microgrids.Therefore,a dispatching mechanism with the goal of minimizing microgrid operating costs and environmental protection costs under the peak-to-valley price mechanism is proposed.The adaptive gray wolf algorithm is used to optimize the output of distributed energy in the microgrid under both disordered and orderly charging and discharging modes.Under the premise of ensuring the stability of the microgrid,the output of each distributed power generation unit is reasonably configured and the dispatch is coordinated.Strategy.Finally,considering that if only the cost and benefits of the microgrid on the power supply side are analyzed,and the charge and discharge costs on the user side are not considered,it is difficult to ensure the enthusiasm of users to participate in optimal dispatch.Therefore,it is proposed that the power supply side and the user side jointly determine the optimal dispatch of the system.The problem is that both sides of the supply and demand establish a dynamic connection through the Stackelberg game model to ensure the energy trade between the two groups.In the entire game model,the power supply side,that is,the microgrid company chooses its price to maximize its income,and the electric vehicle users There is an optimal tradeoff between the time selection of battery charging and discharging and related costs.And prove the existence and uniqueness of the equilibrium solution.An example is also used to verify the effectiveness of the optimal scheduling strategy based on Stackelberg game.
Keywords/Search Tags:microgrid, electric vehicle charging and discharging, adaptive gray wolf algorithm, Stackelberg game
PDF Full Text Request
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