A Joint Optimal Dispatch Method for Multi-integrated Energy Systems Based on the Source-load Adaptability

In order to make full use of the complementarity between each regional integrated energy system (IES) and to improve the overall energy-efficiency, economic and environmental benefits, this paper proposes a joint optimal dispatch method based on the source-load adaptability for multi-integrated energy systems. This approach analyzes the source-load adaptability, adopts the improved grey correlation degree model for feature matching and makes an adaptability quantitative analysis of different IES and regional load. Then, the next step is to establish a hierarchical optimal dispatch model for the regional multi-IESs that is solved by using the improved particle swarm optimization algorithm. The simulation results show that the proposed method could achieve the highest economy benefits and take the source-load characteristics into consideration while realizing the collaborative optimization among regional multi-IESs. Moreover, the improved algorithm for model solving could obtain an ideal solution when further improving the convergence speed. Compared with the traditional algorithms, this algorithm has obvious superiority and effectiveness.