Numerical simulation is a core technical approach for analyzing the operational mechanisms of integrated energy systems (IES). However

existing IES simulation and modeling tools suffer from significant shortcomings in terms of modeling and simulation capabilities

computational efficiency and stability

as well as generalizability and flexibility. To address these challenges

this paper overcomes three key technical obstacles in IES numerical simulation

i.e. the “computational efficiency bottleneck”

the “challenge of collaborative heterogeneous energy flow solving”

and the “fragmentation of toolchains”

through breakthroughs in robust

high-efficiency numerical simulation techniques and a universal simulation modeling framework. An open-source

high-performance IES simulation and modeling tool called Solverz

based on Python

has been developed

establishing an efficient

flexible

and shareable IES numerical simulation analysis technical system. Case studies demonstrate that Solverz exhibits significant advantages in modeling accuracy

computational performance

and scalability

providing innovative technological and practical platform support for IES simulation research.