A TOC-TOB dual-track aggregation framework for heterogeneous V2G resources and its deep reinforcement learning-based decision-making
Y N Wu, C E Chen, Zhixin Gao, M Ingjun Chen et autres
Abstract Against the backdrop of high renewable energy penetration, new power systems are witnessing a surging demand for high-frequency, controllable, flexible resources. However, the actual deployment of vehicle-to-grid (V2G) technologies is characterized by significant heterogeneity and uncertainty. To balance the incentive compatibility …
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Journal of Physics Conference Series