Research on Source-load Coordinated Optimal Scheduling of Integrated Energy System

With the penetration of renewable energy such as wind and photovoltaic in the energy system, the intermittent and fluctuating nature of their output leads to the uncertainty of energy supply of the energy system, and the modeling and optimal scheduling of the energy system face great challenges. Aiming at the above problems, this paper constructs a source-load coordinated optimal scheduling model for the integrated energy system. The model takes into account the uncertainty of the system scenery output and the variable working conditions of system equipment, and it uses the Benders decomposition algorithm and the alternating direction multiplier method (ADMM) to solve the model, realizing the cooperative optimal scheduling of source-load on both sides. Finally, the proposed method is tested in a community in Nanjing, and the results show that the proposed method can promote the positive source-load interaction and improve the economy, environmental protection and stability of system operation.