The invention relates to the field of new energy vehicle charging station operation strategies, and discloses a V2G electric vehicle charging station charging and discharging decision optimization method and device. Constructing a new energy vehicle charging station interaction environment based on a V2G technology; a state variable, an action variable and a reward function of reinforcement learning are set, and the reward function is provided with a plurality of optimization objectives, so that benefits of charging pile operators, power grid operators, users and the like can be balanced, and global optimization is realized. An SD3 algorithm is adopted to construct an electric vehicle charging station charging and discharging decision-making model based on reinforcement learning, an optimal electric vehicle charging station charging and discharging decision-making model is obtained through training, and an optimal charging and discharging scheduling scheme is obtained through calculation according to real-time data and the optimal electric vehicle charging station charging and discharging decision-making model. According to the method, better performance can be obtained under the condition of fewer training samples, and the reliability of intelligent decision making and the stability in the training process can be ensured in a dynamic environment. Decision strategies in a complex environment can be automatically learned, and the burden of manual rule design is relieved.

    本申请涉及新能源汽车充电站运营策略领域,公开了一种V2G电动汽车充电站充放电决策优化方法及装置。基于V2G技术构建新能源汽车充电站交互环境;设置强化学习的状态变量、动作变量和奖励函数,奖励函数设置多个优化目标,可以平衡充电桩运营商、电网运营商和用户等各方利益,实现全局最优。采用SD3算法构建基于强化学习的电动汽车充电站充放电决策模型,通过训练获得最优电动汽车充电站充放电决策模型,根据实时数据和最优电动汽车充电站充放电决策模型计算获得最优充放电调度方案。能够在较少的训练样本下获得更优性能,能够在动态环境中确保智能决策的可靠性和训练过程中的稳定性。可以自动学习复杂环境下的决策策略,减轻人工规则设计的负担。


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    Titel :

    Charging and discharging decision optimization method and device for V2G electric vehicle charging station


    Weitere Titelangaben:

    V2G电动汽车充电站充放电决策优化方法及装置


    Beteiligte:
    ZHENG CHUNHUA (Autor:in) / WU SIPEI (Autor:in) / XIAO YAO (Autor:in) / FU SHENGXIANG (Autor:in)

    Erscheinungsdatum :

    18.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    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 / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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