@Article{ee.2025.069257,
AUTHOR = {Yong Li, Yuxuan Chen, Jiahui He, Guowei He, Chenxi Dai, Jingjing Tong, Wenting Lei},
TITLE = {Optimal Dispatch of Urban Distribution Networks Considering Virtual Power Plant Coordination under Extreme Scenarios},
JOURNAL = {Energy Engineering},
VOLUME = {123},
YEAR = {2026},
NUMBER = {1},
PAGES = {0--0},
URL = {http://www.techscience.com/energy/v123n1/65109},
ISSN = {1546-0118},
ABSTRACT = {Ensuring reliable power supply in urban distribution networks is a complex and critical task. To address the increased demand during extreme scenarios, this paper proposes an optimal dispatch strategy that considers the coordination with virtual power plants (VPPs). The proposed strategy improves system flexibility and responsiveness by optimizing the power adjustment of flexible resources. In the proposed strategy, the Gaussian Process Regression (GPR) is firstly employed to determine the adjustable range of aggregated power within the VPP, facilitating an assessment of its potential contribution to power supply support. Then, an optimal dispatch model based on a leader-follower game is developed to maximize the benefits of the VPP and flexible resources while guaranteeing the power balance at the same time. To solve the proposed optimal dispatch model efficiently, the constraints of the problem are reformulated and resolved using the Karush-Kuhn-Tucker (KKT) optimality conditions and linear programming duality theorem. The effectiveness of the strategy is illustrated through a detailed case study.},
DOI = {10.32604/ee.2025.069257}
}