The invention relates to the technical field of electric vehicle charging and discharging regulation and control, in particular to a large-scale electric vehicle charging and discharging rate multi-level optimization regulation and control method. Establishing a daily driving mileage prediction model by analyzing historical driving and charging data of the electric vehicle, and calculating a charging demand of the daily driving mileage according to the daily driving mileage prediction model; designing an optimization model based on linear programming based on the determined charging demand, and obtaining reasonable charging power of each electric vehicle in different time periods; on the basis of the determined charging demand, constructing a multi-level optimization model; under the guidance of the constructed multi-objective optimization model, a specific charging and discharging strategy of each electric vehicle is refined by adopting a heuristic algorithm; the charging power is dynamically adjusted by combining real-time data of the electric vehicle and the power grid; and based on the dynamic adjustment result, the charging power of different levels is coordinated, and multi-level cooperative control is realized. According to the large-scale electric vehicle charging and discharging rate multi-level optimization regulation and control method, efficient and stable operation of a charging system is achieved.
本发明涉及电动汽车充放电调控技术领域,具体涉及一种规模化电动汽车充放电率多层级优化调控方法。通过分析电动车历史行驶和充电数据,建立日行驶里程预测模型,根据日行驶里程的预测模型计算日行驶里程的充电需求;基于确定的充电需求设计基于线性规划的优化模型,得到每辆电动汽车在不同时间段的合理充电功率;以确定的充电需求为基础,构建多层级优化模型;在构建的多目标优化模型指导下,采用启发式算法细化每辆电动汽车的具体充放电策略;结合电动汽车和电网的实时数据,动态调整充电功率;基于动态调整结果,协调不同层级的充电功率,实现多层级协同控制。一种规模化电动汽车充放电率多层级优化调控方法实现了充电系统的高效、稳定运行。
Large-scale electric vehicle charging and discharging rate multi-level optimization regulation and control method
规模化电动汽车充放电率多层级优化调控方法
2025-03-04
Patent
Electronic Resource
Chinese
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