Dynamic Simulation and Parameter Calibration-Based Experimental Digital Twin Platform for Heat-Electric Coupled System

Integrated energy systems face challenges such as inconsistent equipment parameters, unmeasurable data, and complex coupling mechanisms. To address these issues, this paper develops an experimental Digital Twin (DT) platform for heat-electrical integrated energy systems (HE-IES). Using dynamic simulation methodologies, we design three key functional modules: 1) a status awareness module that simulates and forecasts flow rates and temperatures for non-measurable segments; 2) a model accuracy evaluation module that assesses parameter reliability through simulation metrics; and 3) a parameter calibration module that dynamically adjusts network and device parameters using real-time data to maintain precision within the DT. Together, these modules enable the creation of an accurate virtual replica of the physical system, achieving a minimal error margin of just 0.41% compared to the real-world system. Unlike existing DTs that typically focus on individual components, this experimental DT is the first to fully integrate all components of an HE-IES, including source equipment, network pipelines, and load equipment, while comprehensively covering electrical, thermal, and hydraulic subsystems. Its state acquisition, data communication, modular modeling methodologies, and simulation-based parameter calibration functions are highly extensible, establishing a robust foundation for advancing DT technology in large-scale integrated energy systems.