1.Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin300072, China;2.Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality (Tianjin University), Tianjin300072, China

Park-level integrated energy system (PIES) faces multiple impacts from the long-term uncertainty of carbon trading price, energy price and the short-term uncertainty of renewable energy when participating in carbon trading. How to optimize the configuration of device capacity for PIES under the limited total cost budget to improve the robustness of the system, that is, the adaptability to deal with uncertainty fluctuations needs to be further studied. Therefore, an optimal configuration method based on information gap decision theory (IGDT)-utility entropy is proposed. First, a coupling model of multi-energy flow and carbon trading volume based on energy hub is established to describe the coupling relationship between carbon trading volume and multi-energy flow. Secondly, a deterministic optimal configuration model for PIES is established to obtain the baseline value of the total optimal configuration cost, and the ability of PIES decision makers to accept additional investment is further considered to determine the total cost budget limit. For the two types of uncertainty, IGDT is used to deal with the long-term uncertainty of carbon trading price and energy price, and utility entropy is used to simulate the short-term uncertainty of wind and photovoltaic power output. Then, the robustness coefficient is introduced to describe the adaptability of PIES to uncertainty fluctuations. On the premise that the total cost does not exceed the budget limit, an optimal configuration model aiming at maximizing the robustness coefficient is established to improve the adaptability of PIES to uncertainty fluctuations, and the optimal configuration scheme under the total cost budget is obtained. Finally, a PIES in northern China is taken as a case to verify the effectiveness of the proposed optimal configuration method for PIES.