The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.


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    Titel :

    OPTIMAL ALLOCATION METHOD FOR STORED ENERGY COORDINATING ELECTRIC VEHICLES TO PARTICIPATE IN AUXILIARY SERVICE MARKET


    Beteiligte:
    LIU DUNNAN (Autor:in) / LIU MINGGUANG (Autor:in) / PENG XIAOFENG (Autor:in) / JIA HEPING (Autor:in) / WANG WEN (Autor:in) / WANG LINGXIANG (Autor:in) / ZOU MENGJIAO (Autor:in) / ZHANG YUE (Autor:in) / YANG YE (Autor:in) / SU SHU (Autor:in)

    Erscheinungsdatum :

    12.05.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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