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The Research On Orderly Charging Strategies Of Electric Vehicles Based On The Interaction Between Power Grid And Electric Vehicles

Posted on:2016-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:Q D ZhangFull Text:PDF
GTID:2272330503477028Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In recent years, the shortages of fossil fuel energy and environmental problems caused by cars have been increasing, so the development of new clean vehicles is imminent. Electric vehicle with its zero pollution, zero emissions and low noise characteristics is becoming a hot research for the researching team. Along with the constantly breaking development of the manufacturing technology of power battery, electric vehicle technology has achieved its leaps and bounds from research and development to the industrial development. Based on the development model of electric vehicles, taking the electric buses battery replacement stations for the study, the control strategies of battery cluster charging under different circumstances are researched in this these.Firstly, the optimal charging and discharging model under alone operation mode in the battery replacement station is established. Based on the real-time electricity price of the grid, with the objective of optimal economy and minimum the health breakage of the battery, the work plan of the charge and discharge motor in the station is optimized combining the recently amended plans and the rolling method.A hybrid algorithm of IDPSO and IDAFSA is proposed, combining the good global search capability of IDPSO algorithm and the excellent local search capability of IDAFSA algorithm to take both the optimization accuracy and efficiency of the algorithm into account, and to obtain a better optimizing performance.Then, the operation mode and control strategy of the battery swapping station participating in power grid interaction is studied. The charge and discharge arrangement plan is proposed in order not to increase the burden of the power grid. Considering its scheduling advantage of the fast dynamic response and excellent emergency support capability of the battery swapping station, the support mode is studied while the power grid is in an emergency state or even system collapse state.Finally, the battery replacement station connecting the wind power is studied. Based on the ultra-short term wind power forecasting results, with the objective of wind power accommodation and response to the peak valley regulation of the power grid, the electricity charging scheme is optimized through responding to the wind power output curve and the real-time electricity price, and the operation economy, the accommodation of the wind power output and the peak valley regulation ability of the station are analyzed in contrast under different charging modes.
Keywords/Search Tags:Battery switch station (BSS), Particle Swarm Optimization(PSO), Artificial Fish Swarm Algorithm (AFSA), Charging Scheduling, Wind Power
PDF Full Text Request
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