Bi-level Optimal Scheduling Strategy of Multi-agent Integrated Energy System With Dynamic Energy Prices and Shared Energy Storage Power Station

Under the background of uncertainty of renewable energy uncertainty, in order to coordinate the interest relationship among comprehensive energy operators, electric heating load aggregators and shared energy storage power stations, a comprehensive dynamic pricing mechanism for electricity and heat was proposed, which guides electric heating load aggregators based on the characteristics of integrated demand response to participate in the optimization of integrated energy system operators, promote efficient application of energy storage and local consumption of new energy, and achieve mutual benefit and win-win results for multiple stakeholders. With the integrated energy system operator as the main body, and the electric heating load aggregators and the shared energy storage operators as the secondary body, an integrated energy multi-operator system optimization model with one master and multiple slaves was constructed. Fully explore the operation mode of shared energy storage operators, including charging, discharging and providing reserve modes. CPLEX was used to iteratively solve the master-slave game model, and the results of the example verify the validity of the model and method.