Two-stage optimal scheduling strategy for electric vehicles considering the priority demand
As the penetration rate of photovoltaic power generation increases,the uncertainty of its output has nega-tive impact on safe and stable operation of the power grid.By utilizing the mobile energy supply characteristics of e-lectric vehicle(EV),the collaborative optimization between EV and photovoltaic can be realized.Taking the flexi-bility of EV energy scheduling into account,a two-stage optimal scheduling model for EVs considering user char-ging demand is constructed:in the day-ahead stage,a multi-objective optimization function with minimum situ ab-sorption deviation of photovoltaic,maximum EV charging completion rate and minimum EV users travel cost is es-tablished,the charging and discharge coefficient is introduced to optimize the charging behavior of the EV;in real-time scheduling,the load aggregator combines the actual photovoltaic output of each period and the charging de-mand of the EV,modifies the optimized charging and discharging coefficients according to the scheduling priority to formulate an optimal charging and discharging strategy.By comprehensively considering the different needs of EV users for charging completion and charging cost,analyzing different charging modes and different weight coeffi-cients,and considering the situation of users changing charging requirements,it is verified that the strategies pro-posed in this paper have obvious effects in reducing the deviation of photovoltaic absorption and meeting users'charging needs.
electric vehiclecharging demandscheduling prioritylocal consumption
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