Optimised Scheduling Strategy for Source-Load-Storage Cooperation Considering Economic Efficiency
Xiaoxuan Zhang, Zheng Zhao, Li Jian · 2024
This research tackles the challenge of effectively managing the variable output of solar energy in electricity generation through the development of an optimized model for a Virtual Power Plant (VPP) integrating multiple microgrids (MMGs). The proposed approach introduces a real-time optimization method, incorporating provisions for designating a portion of the microgrid as a backup. The optimization model comprises two key phases: day-ahead planning and real-time adjustments. During the day-ahead planning phase, the objective is to optimize the VPP's profitability by determining optimal baseline and regulation capacity values for each hour of the subsequent day. Real-time adjustments aim to synchronize the VPP's electricity consumption with the dynamic regulation signal (RegD signal) at minimal cost. This real-time optimization process identifies the most efficient operational configurations for each microgrid and VPP resource. Simulation results validate the efficacy of this real-time optimization approach, showcasing its ability to enhance VPP revenue while upholding its crucial role in supporting grid frequency stability.