A Multi-Objective Capacity Optimization for Integrated Energy Systems Considering Green Certificate Trading

Environmental pollution and energy crisis are becoming more and more serious all over the world, and the integrated energy system (IES) with renewable energy as the core is the key to energy conservation and emission reduction. Capacity optimization is the premise of efficient operation of the IES. Therefore, this paper focuses on solving the problem of capacity optimization of the IES considering green certificate trading. Firstly, the green certificate trading model is introduced. On this basis, the capacity optimization model of IES considering green certificate trading is proposed. Second, the basic architecture of the IES was constructed, and a detailed mathematical model was established for the main equipment of the system. Thirdly, the capacity optimization problem of the IES is studied and analyzed, and the model is solved by using the fast non-dominant ranking genetic algorithm with elite strategy with the optimal system economy and environmental friendliness as the objective function. Finally, a case analysis is carried out in combination with the data of a campus to verify the effectiveness of the model.