Temporal Correlation Modelling Driven Optimisation for Electric‐Carbon Coupling Market in Multi‐Regional Integrated Energy Systems
Haixin Wang, Siyu Mu, Jian Dong, Zihao Yang, Mingchao Xia, Jiawei Feng, Fausto Pedro Garcia Marquez, Zhe Chen, Junyou Yang, Shiyan HuABSTRACT
As collaborative operations among multi‐regional integrated energy systems (MRIES) cannot be automatically achieved due to the incompatible short‐term temporal correlation between the electricity and carbon markets, this paper develops the new multi‐regional coupling model and an optimal automatic operation strategy to tackle this challenge. First, a multi‐regional coupling model of MRIES is proposed to consider intra‐regional and interregional coupling relationships, which combines dynamic conversion efficiency and transmission efficiency under an automatic matching mode. Second, an improved temporality method of the automatic settlement mechanism based on electric‐dominated carbon (EDC) mode is proposed to convert from the long‐time scale to the short‐time scale for intelligent computation of short‐term carbon emissions and power generation. Finally, an optimal operation strategy of MRIES based on the coupling model and trading framework is developed. The extensive simulations are performed to demonstrate effectiveness of the proposed framework.