What is it about?
This paper proposes a new damping control strategy for wind power grid-connected systems. As more wind power is connected to the grid, random wind-speed fluctuations can weaken system damping and increase the risk of low-frequency oscillations. To address this problem, the study develops a variable-gain wide-area supplementary damping controller, whose gain can adapt to real-time wind-speed variations. The method uses an Itô-process model to describe stochastic wind speed and then applies Itô-moment optimization to convert the stochastic control design problem into a deterministic moment-based optimization problem. In this way, the controller can improve the expected damping performance while reducing damping-ratio fluctuations caused by wind uncertainty.
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Why is it important?
Low-frequency oscillations are a serious stability concern in renewable-rich power systems. Conventional damping controllers usually use fixed parameters and may not perform well when wind speed changes randomly. This work is important because it explicitly considers the probabilistic nature of wind-speed uncertainty in the controller design. The proposed method improves both damping strength and robustness, helping grid-connected wind power systems remain stable under stochastic operating conditions. Simulation results on a modified IEEE 39-bus system show that the proposed VG-WSDC increases the probability of satisfying small-signal stability requirements compared with no control, conventional WSDC, and SMPC.
Perspectives
What I find most valuable about this work is its balance between stochastic modeling and practical controller design. Instead of relying on a large number of scenarios or purely fixed-parameter control, the paper uses low-order statistical moments to capture the key effects of wind-speed randomness in a tractable way. This makes the method more suitable for engineering applications where wind uncertainty is unavoidable but real-time computational burden must remain manageable. Overall, the study provides a meaningful step toward more adaptive and uncertainty-aware damping control for future wind-dominated power systems.
Chair, IEEE PES EICC Task Force on AI-Enabled Resilience of CPES|Clarivate HCR|AE: IEEE TSG/TSTE/TII Yang Li
Northeast Electric Power University
Read the Original
This page is a summary of: Stochastic Damping Control Strategy for Wind Power Grid-Connected Systems Based on Itô-Moment Optimization, IEEE Transactions on Power Systems, January 2026, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/tpwrs.2026.3686398.
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