I. MOTIVATION

Offshore Energy Hubs (OEHs) consist of wind farms, converters, and HVDC connections to onshore terminals. This setup differs from onshore grids due to their highly concentrated power flow and multi-terminal HVDC configuration. The offshore AC grid, being decoupled from the onshore grid, has limited inertia and short electrical distances between converters, characteristics that increase the risk of adverse dynamic interactions if control systems are not properly tuned. Meanwhile, the DC network poses challenges in voltage stability, power sharing, and control coordination across terminals. Finally, interactions between the AC grid, the DC grid, offshore converters, and wind farms can result in oscillations at various frequencies, requiring appropriate mitigation strategies.

II. NOVEL CONTRIBUTIONS This work presents a Python-based tool that uses the component connection method (CCM) to build a state space model of an OEH. The CCM provides a modular structure that supports easy reconfiguration of controls and electrical connections on both the AC and HVDC sides. Unlike previous work [1], [2], [3], which analyzed specific configurations and ignored or used a simplified model of the DC side, the Python-based tool presented in the paper includes all relevant dynamics, allows facile and flexible grid reconfiguration, and supports multiple controllers specifically designed for offshore energy hubs. The code will be made available as open-source to support reproducibility and further research.

III. THE PROPOSED APPROACH The CCM is a mathematical tool that interconnects subsystems (physical components or controls) defined by their respective state equations, inputs, and outputs. Depending on the system studied, the tool automatically generates a state-space model using an adequate naming convention. Once the model is constructed, various analyses can be performed, including participation factor analysis, eigenvalue root locus, and mode shape identification. This enables the isolation of specific oscillations within the system while considering the dynamics of the entire network.

IV. NUMERICAL EXPERIMENTS AND VALIDATION To validate the analytical results, an equivalent EMT simulation is performed in parallel with the time-domain response of the linearized state-space model under two scenarios: (i) a step increase in offshore wind power generation and (ii) a step increase in HVDC power transfer between onshore terminals. Moreover, several case studies were carried out to demonstrate the tool’s capabilities and verify its consistency with published results.