Generalized Feedback Control Modeling Method for Control-Driven Converter Systems
This work provides a new modeling perspective for control-driven stability analysis in converter systems, which is relevant for power system engineers dealing with large-scale controller integration.
The paper proposes a Generalized Feedback Control (GFC) modeling framework for converter-based systems (e.g., wind farms) to address limitations of impedance-based methods in analyzing control-driven stability issues. The GFC model is validated through frequency scan and stability tests, and its advantages are demonstrated in interaction analysis and stability-oriented designs for multi-controller systems.
Converters-based systems like wind farms manifest themselves as control-intensive systems, where control-driven stability issues frequently occur, e.g., oscillations. Such issues are popularly studied via circuit impedance-based methods. However, given its implicit controller modeling trait, the impedance-based methods have limitations in system analysis and designs involving large-scale controllers. To address this issue, this paper presents a novel frequency domain modeling framework, as a perspective shift from the circuit to the control system. Since the obtained model features a multi-input-multi-output (MIMO) feedback control structure and explicit controller placement, it is termed the Generalized Feedback Control (GFC) model. GFC modeling is conducted for both single and multi-converter cases, and the resulting models are validated by frequency scan and stability test. Moreover, advantages of the GFC method in achieving interaction analysis and stability-oriented designs of multi-controllers are demonstrated by three application examples, further suggesting its great potential for being applied to the analysis and design issues of converter systems involving large-scale controllers.