Affiliation:
1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
2. National Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, China
3. State Grid Tianjin Electric Power Company, Tianjin 300310, China
Abstract
To meet the challenges of renewable energy consumption and improve the efficiency of energy systems, we propose an intelligent distributed energy dispatch strategy for multi-energy systems based on Nash bargaining by utilizing the power dispatch meta-universe platform. First, the operational framework of the multi-energy system, including wind park (WP), photovoltaic power plant (PVPP), and energy storage (ES), is described. Using the power dispatch meta-universe platform, the models of WP, PVPP, and ES are constructed and analyzed. Then, a Nash bargaining model of the multi-energy system is built and transformed into a coalition profit maximization problem, which is solved using the alternating direction multiplier method (ADMM). Finally, the effectiveness of the proposed strategy is verified. The results show that the strategy greatly improves the consumption of renewable energy sources and the profit of the overall system.
Funder
Research on the Verification of Power Dispatch Metaverse Architecture and Key Basic Technologies
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