考虑多功能区低碳改造与氢能多模式利用低碳特性的综合能源系统不确定性协同规划方法

To promote carbon neutrality, integrated energy systems (IES) have become the future of energy supply development, owing to their multi-energy coupling and cascade utilization features. Coordinated planning of IES with multi-functional areas (MFA-IES) is important in improving the system economy and reducing carbon emissions. However, with more multi-energy devices and a continuous increase in renewable energy generation, the impact of model non-convexity and multi-type uncertainties needs to be further studied. In this paper, a coordinated uncertainty planning method for MFA-IES is proposed. Firstly, energy supply/demand characteristics and the complementary relationships among MFA are analyzed in detail, with the formation of differentiated planning strategies for the area. Secondly, mathematical models of low-carbon retrofitted generators and hydrogen multi-mode utilization devices are established, and their low-carbon features are analyzed. An MFA-IES coordinated planning model under multiple uncertainties is proposed on this basis. To deal with non-convex constraints in the proposed model, a convex hull linearization method based on binary extension is utilized, and the corresponding iterative contraction algorithm is determined to solve the model efficiently. Finally, a real-case MFA-IES is used to verify the effectiveness of the proposed model and the adopted algorithm.