Privacy-preserving distributed optimal scheduling of regional integrated energy system considering different heating modes of buildings

Abstract The coordinated operation of regional integrated electricity and district heating systems (RIEDHS) can significantly improve energy efficiency. This paper considers the dynamic characteristics of the pipelines in the district heating systems (DHS) and the thermal inertia of buildings with different heating modes, and establishes a distributed optimal scheduling model of RIEDHS. In addition, due to the computational complexity of large-scale integrated energy systems, heavy communication burdens, and the privacy-preserving difficulties of multiple operators, a centralized solution is actually not feasible for RIEDHS. Based on the Alternating Direction Method of Multipliers (ADMM) algorithm, a distributed method for solving the RIEDHS problem is proposed. In order to enhance the convergence of the algorithm, the ADMM with variable penalty parameters is adopted. The effectiveness and superiority of the method are verified by case studies. The results show that the optimal scheduling model can make full use of the thermal inertia of buildings, reduce system operating costs, and promote photovoltaic consumption.