电力系统自动化2025，Vol.49Issue(23)：99-107,9.DOI:10.7500/AEPS20250418008
考虑时段解耦的虚拟电厂-输电网非迭代协同调度
Non-iterative Coordinated Dispatch of Virtual Power Plant-Transmission Network Considering Time-period Decoupling
摘要
Abstract
A coordinated dispatch model of virtual power plant(VPP)-transmission network based on the feasible region equivalent projection theory can avoid iterative solving,thereby ensuring solution stability.However,with the large-scale integration of energy storage systems,time-period coupling constraints decouple the VPP feasible region into a high-dimensional space,significantly increasing the difficulty in characterizing the feasible region.Therefore,a non-iterative coordinated dispatch method of VPP-transmission network considering the decoupling of time-period coupling constraints is proposed.First,the epigraph theory is applied to eliminate internal variables of the VPP in the objective function,thereby reducing model complexity.Second,Lyapunov optimization is used to decouple the coupling constraints,and the vertex searching method is employed to characterize the equivalent projection of the VPP feasible region.Finally,the original VPP model is replaced by this feasible region projection to participate in transmission network dispatch,achieving the non-iterative solution for the VPP-transmission network coordinated dispatch model.Simulation results demonstrate that the proposed method can significantly improve the characterization efficiency of equivalent projection of the feasible region and ensure that the non-iterative coordinated dispatch achieves the same optimality as the integrated dispatch.关键词
虚拟电厂/时段解耦/可行域/等效投影/非迭代方法/上镜图Key words
virtual power plant/time-period decoupling/feasible region/equivalent projection/non-iterative method/epigraph引用本文复制引用
谭洪,焦涌,关苏敏,谭鋆,王秋杰,翁汉琍..考虑时段解耦的虚拟电厂-输电网非迭代协同调度[J].电力系统自动化,2025,49(23):99-107,9.基金项目
国家自然科学基金资助项目(52507120) （52507120）
湖北省自然科学基金三峡创新发展联合基金资助项目(2024AFD350). This work is supported by National Natural Science Foundation of China(No.52507120)and Hubei Provincial Natural Science Foundation Three Gorges Innovation and Development Joint Fund Project(No.2024AFD350). （2024AFD350）
