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001049198 0247_ $$2doi$$a10.1109/PowerTech59965.2025.11180516
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001049198 041__ $$aEnglish
001049198 1001_ $$0P:(DE-Juel1)190571$$aLi, Chuan$$b0$$eCorresponding author$$ufzj
001049198 1112_ $$a2025 IEEE Kiel PowerTech$$cKiel$$d2025-06-29 - 2025-07-03$$wGermany
001049198 245__ $$aLaguerre-Based MPC for Real-Time V2G Operation in Distribution Networks
001049198 260__ $$bIEEE$$c2025
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001049198 520__ $$aThis paper presents a Laguerre-based model predictive control (MPC) framework for real-time Vehicle-to-Grid (V2G) operation in distribution networks. The proposed method integrates electric vehicles (EVs), V2G charging stations, and driver interactions to enable effective V2G operations like voltage regulation. Using Laguerre functions, the computational complexity of the MPC is significantly reduced without compromising performance. Test cases are carried out to validate the proposed control algorithm. Results indicate that the Laguerre-based MPC ensures low computational burden and real-time control capability, especially with a high number of V2G EVs and multiple constraints.
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001049198 7001_ $$0P:(DE-Juel1)186779$$aCarta, Daniele$$b1$$ufzj
001049198 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b2$$ufzj
001049198 773__ $$a10.1109/PowerTech59965.2025.11180516
001049198 8564_ $$uhttps://ieeexplore.ieee.org/document/11180516
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