Grigoris Michos, Christos K. Verginis · Oct 22, 2026
A nonlinear control law is proposed to safely integrate DC electronic loads to the utility grid, using reciprocal barrier functions to guarantee operation within a desired region despite converter dynamics and fluctuating power demand. The proposed controller ensures the safety of electronic components from power surges and high transients. The controller's performance is validated through simulation scenarios, showing improved stability and robustness compared to conventional saturated-PI controllers.
Why This Matters
This paper matters for power industry professionals as it proposes a novel control law to ensure safe integration of DC electronic loads into the utility grid, addressing a critical aspect of renewable integration and grid resilience, particularly relevant for utility operators and grid planners aiming to manage variable renewable energy sources and ensure grid stability.
Roya Khalili-Amirabadi, Mohsen Jalaeian-Farimani, Mahdi Ghane · Oct 22, 2026
Model predictive control (MPC) has been applied to wind turbine regulation using various internal prediction models, including linearized and nonlinear, aeroelastic, and data-driven predictors. Studies show that low-order linear or piecewise-affine predictors are suitable for constrained power and speed regulation, while nonlinear and flexible models are needed to address drivetrain twist, tower motion, and blade loads. A classification system is proposed for direct nonlinear applied-pitch propagation, highlighting the integration challenge at the intersection of multiple prediction, control, and load objectives.
Why This Matters
This paper is relevant to power system engineers as it addresses the application of Model Predictive Control (MPC) in wind turbine regulation, which is crucial for optimizing the performance and integration of wind power into the grid. The research has practical implications for grid operators and renewable integration specialists, as it explores the use of different prediction models, control objectives, and nonlinear aerodynamic formulations to improve the efficiency and reliability of wind power systems.
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