Abstract
At present, China is in a critical period of energy structure transformation. The development of integrated energy systems opens a new path for in-depth reform of the energy sector. However, integrated energy systems are currently facing problems such as high operating costs, limited consumption levels of new energy and low energy efficiency per unit equipment. Therefore, firstly, we propose an integrated energy system optimal operation model considering new energy incentive mechanism. By utilizing the lowest integrated energy system daily operation cost as the target, mixed integer linear programming method is adopted for calculation and solution, whilst artificial intelligence algorithm is introduced to ensure the accuracy of relevant prediction data. Secondly, the study fully considers the economy, rationality, efficiency and other requirements of system operation, improves constraint model of each unit equipment in the system and implementing four typical scenarios of incentive mechanism. Finally, the influence of the four typical scenarios on the integrated energy system operation is analyzed through the cases. The results show that the optimal model and incentive mechanism in this paper can further reduce the system operating cost, improve new energy consumption level, and improving each unit equipment operation flexibility and stability in the system, especially the regulating role of energy storage equipment in system operation. Meanwhile, the research results also quantitatively show the integrated energy system operating cost change rate under the different incentive mechanisms. It has great significance to the decision-making of system deployment and operation, clarifies the influence of different incentive mechanisms on the system operation economic benefits, and promotes the benefits of integrated energy system developing.