Automatic simulation and energy storage assessment algorithm for heating networks considering ring topology

Abstract To address the complexity of energy storage evaluation and dispatch in ring-shaped heating networks within integrated electrical-thermal energy systems, this paper proposes a dynamic energy storage automation evaluation and optimal control method based on the heat current method. Leveraging graph theory, the ring-shaped network is decomposed into modular heat current models under supply and return water conditions. By combining time-domain simulation with a bisection iteration strategy, the passive energy storage capacity of the network is quantified in real-time. Using dynamic thermal storage characteristics as boundary conditions, a model predictive control (MPC) rolling optimization framework is constructed to generate day-ahead dispatch plans that balance thermal system requirements and wind power accommodation. The proposed method significantly reduces carbon emissions in integrated energy systems, enhances multi-energy synergy flexibility, and provides theoretical and technical pathways for integrating high-penetration renewable energy.