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Research On Electric Vehicle Ordered Charging

Posted on:2013-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:L HuangFull Text:PDF
GTID:2212330362461674Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Under the double pressure of environment pollution and resource scarcity, electric vehicle (EV) gets more and more attention because of its great advantage in energy-saving and emission-reduction. As the related technology gets gradually perfect, the large-scale application of EV will become inexorable trend of future automobile industry. EV charges through different charging infrastructures to power grid, which will obviously affect the power grid. This thesis makes systematic and thorough studies on problem of how to make qualitative assessment on effect caused by charging load. On the basis of the effect assessment of different scale of EV which is simulated by Monte Carlo simulation, it presents an accomplishing method of EV ordered charging guided by peak-valley TOU power price policy. Then build a response model of charging time caused by that policy. A genetic algorithm was used to solve this problem of optimizing the time-period for load shifting. The results of example show the rationality of this model and method. The main results are as follows:1. Summarize the related concepts of EV ordered charging, and make qualitative assessment on effects caused by three different charging infrastructures to power grid at low permeability;2. On the basis of statistical probability analysis results, make simulation and assessment on effects caused by different number scale EV charging load with Monte Carlo simulation;3. On the basis of concept of ordered charging, this thesis presents a guiding tactic of peak-valley TOU power price, and then builds customer response model to predict the implementation effect of this tactic. Basing on these, it presents an optimization of peak-valley TOU power price time-period in ordered charging mode of EV, using which to get the optimum time-period for minimum the peak and valley difference ratio.
Keywords/Search Tags:electric vehicle, ordered charging, Monte Carlo simulation, peak-valley TOU power price, time-period optimization, genetic algorithm
PDF Full Text Request
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