Multi-objective Optimized Ordered Charging of High Permeability Electric Vehicle Parks
The extensive and unregulated charging habits of electric vehicles,a novel form of load,have placed a strain on the power grid,impacting its economical and secure functioning.Thus this work studied and proposed a systematic electric vehicle charging method influenced by time-of-use electricity rates.The study focused on electric private cars,and exam-ined the effects of various factors such as charging modes on charging load of these vehicles.By utilizing Monte Carlo method,a predicted charging load is computed.Furthermore,a multi-objective ordered charging model was suggested,which took into account time-of-use rates and of which minimum peak-valley load difference and lowest user charging cost were set as objectives.Using multi-objective genetic algorithm,the objective function was solved and the optimization re-sults with different permeability were compared.The proposed method was shown capable of reducing charging costs and decreasing discrepancy between peak and valley,and thereby effective in enabling"peak shaving and valley filling"in the load curve.It was also observed that with the increase of permeability,the optimization effect became more significant.
electric vehicleordered chargingmulti-objective optimizationpeak load regulationNSGA-IIpeak-valley electricity ratedistribution networkoptimization strategy
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