Optimization scheduling of integrated energy systems considering comprehensive demand response

In the evolving energy landscape, integrated energy systems have advanced to include multi-energy demand response. By implementing a master-slave game model with energy operators as leaders and producers and users as followers, operating costs are reduced, and energy demand relationships are optimized. This paper validates the model through case studies of a system with 600 kW photovoltaic and wind power generation. Simulation results show that with integrated demand response, interruptible loads during peak periods are 129.64 kW, 148.36 kW, and 133.57 kW, effectively reducing peak pressure and power purchase costs. Energy storage devices optimize clean energy usage and minimize grid electricity purchases.