Typical and extreme scenario-based capacity and connection coordinated planning method for integrated energy hubs

Abstract

An integrated energy hub (IEH) is a promising way to improve system operation efficiency by coordinating different types of energy vectors. By considering the collaborative interaction among different flexible devices. This study proposes a capacity and connection coordinated planning method for the IEH based on typical and extreme scenarios, which aims to promote the economic and reliable operation of the IEH with flexible devices. First, a directed graph-based IEH modelling method is formulated, through which various flexible devices, including energy storage devices, are formulated in a unified model. Second, to realise the coordinated optimisation of the capacity and connection of an IEH, a comprehensive planning method is proposed by considering multiple system requirements, e.g., construction costs, connection relationships, and operation modes. Finally, typical and extreme scenarios are simultaneously modelled into the proposed planning method to improve the system economy while ensuring operation reliability. The main innovations of the proposed planning method include the improvement of the graph theory based IEH formulation approach, the coordinated planning model for both capacity and connection of various devices, and the planning method considering the extreme and typical scenarios. The numerical simulation results illustrate that the proposed method improves the introduced reliability indicator by 7.40 % compared to the typical scenario method, and it can reduce the total annual cost by 1.71 % compared with fixed connection methods. Furthermore, the proposed method reduces the computation time to 0.08 % of that of the traditional planning method using a complete dataset while sacrificing only 0.91 % of the economic optimality.