Energy Management Method on Integrated Energy System Based on Multi-agent Game

As a large number of renewable energy, electric vehicles and energy storage systems enter the regional integrated energy system and play an increasingly important role in the system, effective energy management for integrated energy systems are necessary. However, there are many problems in the operation of integrated energy systems, including the uncertainty of renewable energy output, the operation mode of electric vehicles, the degraded cost of energy storage systems and the regulation of real-time electricity prices. To this end, this paper establishes a regional integrated energy management system model based on multi-agent method to control the balance between supply and demand and optimize operators' profit and users' cost. By setting up the operational agent and the user agent, combined with the Stackelberg game method, the energy storage devices' and the electric vehicles' work mode are determined and the electricity price is also decided. Simulations in the improved IEEE-14 bus test system show that the proposed multi-agent energy management system can control elastic loads and energy storage systems. What's more, it can reduce customer costs and increase operator revenue.