Integrated Energy System Modeling and Collaborative and Optimal Operation of Urban Multi-Energy Coupling

Abstract

The development of integrated energy systems (IESs) faces two key challenges: ensuring the availability of renewable energy and enhancing the economic benefits of renewable energy utilization. The integrated energy system will be able to overcome current limitations on energy distribution and address some issues related to urban power development. t is imperative to thoroughly analyze the interdependent coupling process of urban, comprehensive energy systems to achieve economic optimization of multi-energy utilization in urban areas and facilitate the adoption of renewable energy. In this study, the output side utilizes solar energy, wind energy, and grid integration methods. In contrast, the load side utilizes the coupling components of various energy flows such as heat, electricity, and cooling. IES's optimal operation dispatching model is established around the output side, load side, and optimal dispatching. The swarm intelligence optimization algorithm is used to evaluate and adjust the stability and economic benefits of the model.