A two-layer stochastic model predictive control (MPC) framework is proposed in this article to address uncertainties associated with electric vehicles (EVs) in microgrid energy management. At the upper layer, a multiscenario MPC (MS-MPC) approach is considered, which utilizes multiscenario sampling to address the inherent uncertainties with respect to the number of available EVs and their states of charge. The proposed approach effectively minimizes prediction errors while ensuring the cost-efficient operation of the energy management system (MES). To mitigate concerns related to increased convergence time due to scenario combinations, a two-stage scenario reduction technique is introduced to improve the computational efficiency. At the lower layer, an EV aggregator allocation model is developed that considers the power requirements of each individual EV for both charging and discharging operations. Simulation results demonstrate the effectiveness of the proposed MS-MPC approach, revealing its high cost-effectiveness performance and affordable computational burden.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Stochastic Model Predictive Control-Based Energy Management Approach for Microgrids With Electric Vehicles


    Contributors:
    Yang, Weilin (author) / Fang, Haojie (author) / Xu, Dezhi (author) / Jiang, Bin (author) / Shi, Peng (author)


    Publication date :

    2025-02-01


    Size :

    1274273 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Stochastic Model Predictive Control For Electric Vehicles Thermal Management

    AMINI MOHAMMAD REZA / HU QUIHAO / KOLMANOVSKY ILYA et al. | European Patent Office | 2025

    Free access

    Energy Management System of Fuel Cell Electric Vehicles Based on Stochastic Model Predictive Control and Markov Chains

    Alfieri, Vincenzo / Binetti, Giulio / Ruotolo, Romualdo et al. | British Library Conference Proceedings | 2023


    Energy Management System of Fuel Cell Electric Vehicles Based on Stochastic Model Predictive Control and Markov Chains

    Gandino, Edoardo / Binetti, Giulio / Ruotolo, Romualdo et al. | SAE Technical Papers | 2023


    Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

    Ulutas, Ahsen / Altas, Ismail Hakki / Onen, Ahmet et al. | BASE | 2020

    Free access