“…For the optimal operation of the RIES, in [7], a bidirectional flow model is established to show how the RIES enhances resilience in extreme conditions with the coordination of energy conversion and storage facilities, and a trilevel two-stage robust model is established to accommodate random outages; in [8], an operation optimization model is proposed considering the renewable energy consumption responsibility and carbon emission trading mechanism, so as to address the concern of renewable energy generation accommodation and emission reduction in the RIES operation. For the optimal planning and renovation of the RIES, in [9], a multi-scene optimal planning and renovation method of a park-level RIES is proposed, which models the working status of the RIES and considers the costs of investment, operation, and maintenance in the planning optimization model; in [10], with the objective of minimizing investment costs and network losses, the optimal locations of integrated energy stations are determined by the kernel density of the annual energy consumption of building groups, and the distribution of energy networks is optimized by finding the shortest path with the A-star search algorithm. Regarding the IDR during IESP operation, in [11], a pricing strategy of a multi-energy provider using a Stackelberg game-based bi-level programming model is proposed, in which the IDR-based energy optimization can help residential users manage their multi-energy loads and reduce the expected energy costs; in [12], a bi-level bidding and multi-energy retail price formulation method is presented based on the unified clearing of electricity and natural gas for an IESP considering multi-energy demand elasticity, which fully exploits the potential of IDR resources in improving economic benefits.…”