Multi-Objective Time-Domain Coupled Feasible Region Construction Method for Virtual Power Plant Considering Global Stability

Li Guo, Guiyuan Xue (), Zheng Xu, Huixiang Li, Jiacheng Li and Xun Dou
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Li Guo: State Grid Jiangsu Economic Research Institute, Nanjing 210008, China
Guiyuan Xue: State Grid Jiangsu Economic Research Institute, Nanjing 210008, China
Zheng Xu: State Grid Jiangsu Economic Research Institute, Nanjing 210008, China
Huixiang Li: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China
Jiacheng Li: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China
Xun Dou: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China

Energies, 2025, vol. 18, issue 11, 1-19

Abstract: Constructing a new power system with renewable energy as the main component requires an in-depth exploration of the regulation potential of massive, distributed flexibility resources within distribution networks. This approach aims to enhance the grid’s balancing capabilities. Virtual Power Plants can effectively aggregate flexibility resources, but the massive scale and heterogeneous nature of distributed resources pose challenges in assessing the regulation capabilities of the aggregated entity. In this paper, a feasible region solution model for Virtual Power Plants is established based on the vertex search method. Furthermore, by introducing the principles of Lyapunov stability analysis, a multi-objective time–domain coupled feasible region construction method for VPPs with global stability considerations is proposed. Through case study analysis, the boundaries of the VPP’s regulation capability and the time–neighborhood feasible regions characterized by the proposed method exhibit better full-time output stability and are more aligned with practical needs.

Keywords: virtual power plants; feasible region; Lyapunov function; multi-objective optimization; vertex search method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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