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Dynamic Complex-Frequency Control for Enhancing Frequency and Voltage Regulation in Grid-Forming Converters


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Dynamic complex-frequency control enhances the richness and flexibility of grid-forming converters to provide crucial dynamic frequency and voltage regulation services for future power systems.
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The paper introduces the concept of dynamic complex-frequency control, which extends the existing static complex droop control by incorporating dynamic transfer functions. This upgrade enables grid-forming converters to exhibit a richer and more flexible dynamic response behavior, crucial for providing dynamic ancillary services in future power systems.

The key highlights are:

  1. Complex droop control leverages the novel concept of "complex frequency" to represent both angular frequency and rate-of-change-of-voltage, establishing a coupled connection between active/reactive power inputs and frequency/voltage outputs.

  2. Static complex droop control, while effectively managing the inherent coupling and nonlinearity, is limited to static droop gains, lacking the adaptability to deliver dynamic response behaviors.

  3. Dynamic complex-frequency control upgrades the static droop gains with dynamic transfer functions, enhancing the richness and flexibility in frequency and voltage regulation.

  4. The proposed framework collectively treats frequency and voltage dynamics, ensuring small-signal stability for both frequency synchronization and voltage stabilization simultaneously.

  5. The dynamic complex-frequency control is validated through detailed numerical case studies on the IEEE nine-bus system, showcasing its applicability in multi-converter setups.

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Mélyebb kérdések

How can the dynamic complex-frequency control framework be extended to accommodate heterogeneous primary source technologies within multi-converter setups

To extend the dynamic complex-frequency control framework to accommodate heterogeneous primary source technologies within multi-converter setups, we can introduce varying transfer functions for each converter based on their individual response characteristics. By defining dynamic participation factors unique to each converter, we can tailor the control design to account for the diverse dynamics of different primary sources. This approach allows for the incorporation of various technologies, such as wind, solar, or hydro, each with its specific response behavior. By adjusting the transfer functions and participation factors accordingly, the dynamic complex-frequency control can effectively manage the interaction between converters with different primary sources, ensuring coordinated and stable operation within the multi-converter system.

What are the potential challenges and considerations in ensuring dynamic interaction stability between the grid-forming converters and the power grid

Ensuring dynamic interaction stability between grid-forming converters and the power grid involves addressing several potential challenges and considerations. One key challenge is the coordination of control strategies among converters to maintain system stability while responding to grid disturbances. Proper communication and synchronization mechanisms must be in place to facilitate real-time information exchange and coordination. Additionally, the dynamic response of converters to grid events, such as frequency deviations or voltage fluctuations, must be carefully managed to prevent instability or oscillations. Robust control algorithms and feedback mechanisms are essential to maintain stability and ensure smooth interaction between the converters and the grid. Furthermore, considering the impact of network impedance variations and transient conditions is crucial to anticipate and mitigate potential stability issues that may arise during dynamic interactions.

How can the dynamic complex-frequency control concept be further generalized to enable fully flexible and customizable dynamic response specifications for grid-forming converters

To generalize the dynamic complex-frequency control concept for fully flexible and customizable dynamic response specifications in grid-forming converters, a more comprehensive control framework can be developed. This enhanced framework should allow for the specification of arbitrary transfer functions and dynamic behaviors tailored to the specific requirements of the power system. By incorporating advanced control algorithms, such as adaptive control or model predictive control, the dynamic complex-frequency control can adapt to varying operating conditions and dynamic grid scenarios. Moreover, the inclusion of advanced optimization techniques can enable the optimization of control parameters in real-time, ensuring optimal performance and stability under changing grid conditions. By offering a high degree of flexibility and customization, the generalized dynamic complex-frequency control concept can meet the diverse and evolving needs of modern power systems.
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