Regional integrated energy system reliability and low carbon joint planning considering multiple uncertainties

To improve the reliability and reduce carbon emissions of the Regionally Integrated Energy System (RIES), this paper proposes a “source/load/storage/conversion” collaborative planning framework for energy station (ES), in which traditional combined cooling, heating, and power system (CCHP) is considered to be retrofitted into CCHP with carbon capture system (CCS) and Power-to-Gas (P2G) systems (CCP). The sizing of PV, multi-energy storage systems (MESS), integrated demand response (IDR), CCP, and other energy conversion facilities of the ESs are all considered in the proposed model. With climate change, the PV output and IDR power uncertainties are also analyzed in the proposed method. Data-driven two-stage distributionally robust optimization (DDTS-DRO) method is introduced to solve the planning model. And the piecewise linearization and Big-M methods are proposed to convert the original MINLP model into the MILP model for the solution, which improves the calculation speed. The case results and discussions demonstrate the proposed methods’ effectiveness in improving ESs’ reliability and profit, increasing PV installed capacity, and reducing ESs’ carbon emissions.