04/01/2026
Coordinated Operation of Active Distribution Network, Networked Loads, and Electric Vehicles: A Multi-Agent PPO Optimization Method
https://ieeexplore.ieee.org/document/10106205
Authors: Shi, Wenlong; Zhang, Dongxia; Han, Xiao; Wang, Xinying; Pu, Tianjiao; Chen, Wei
Affiliations: State Grid Corporation of China; China Electric Power Research Institute (CEPRI)
Journal: CSEE Journal of Power and Energy Systems, 2025, Vol. 11, No. 5
“Coordinated Operation of Active Distribution Network, Networked Loads, and Electric Vehicles: A Multi-Agent PPO Optimization Method” proposes a multi-agent cooperative operation optimization framework for active distribution networks with flexible loads and large-scale electric vehicles. The authors construct models for adjustable loads and EV behaviors, and then design a multi-agent reinforcement learning strategy based on proximal policy optimization (PPO). Each agent learns its own optimal policy while coordinating with others to achieve global objectives, such as minimizing operating cost and improving load profiles. The method captures the complex interactions among the distribution network, networked loads, and EVs, enabling adaptive and data-driven operation without relying on precise forecasting. Day-ahead scheduling results verify the effectiveness of the proposed strategy, showing improved utilization of flexible resources and enhanced operational economy of the active distribution network.
All CSEE JPES articles are OA published on IEEE Xplore.
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