The invention discloses an electric bus charging and swapping station charging and swapping method based on a genetic algorithm, which is applied to the technical field of electric bus charging and discharging optimization. A multi-objective optimization function with the maximum electric quantity after vehicle charging and discharging and the lowest vehicle charging and discharging cost considering the battery degradation cost is constructed; setting a valley period charging and discharging optimization control coefficient; using a genetics algorithm to initialize a randomly generated population, solving charge and discharge optimization control coefficients of a peak period and a flat period, correcting the charge and discharge optimization control coefficients according to battery capacity constraints, substituting the corrected charge and discharge optimization control coefficients into a multi-objective optimization function, and solving an optimal solution of each optimization control period; and iteratively updating the initialized population, repeating the process of solving the optimal solution of each optimization control time period by the genetic algorithm to obtain a plurality of optimal solutions of each optimization control time period, performing comparison and preferential selection to obtain a charging and discharging optimization control coefficient corresponding to the preferential solution of each optimization control time period, and improving the peak clipping and valley adding capability of the charging and swapping station.
本发明公开了一种基于遗传学算法的电动公交车充换电站充换电方法,应用于电动公交车充放电优化技术领域,包括:预设优化控制时段,构建包括以车辆充放电完成后电量最多及考虑电池退化成本的车辆充放电成本最低的多目标优化函数;设置谷时段充放电优化控制系数;利用遗传学算法初始化随机产生种群,求解峰时段和平时段的充放电优化控制系数,并根据电池容量约束修正充放电优化控制系数,带入多目标优化函数,求得各优化控制时段最优解;对初始化种群进行迭代更新,重复上述遗传学算法求各优化控制时段最优解过程,得到多个各优化控制时段最优解,进行对比择优,得到各优化控制时段择优解对应的充放电优化控制系数,提高了充换电站削峰添谷的能力。
Electric bus charging and swapping station charging and swapping method based on genetic algorithm
一种基于遗传学算法的电动公交车充换电站充换电方法
2022-12-23
Patent
Electronic Resource
Chinese
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES |
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