Open Access

ARTICLE

Parameter Adaptive SVIC FR Strategy for Doubly-Fed Induction Generators Considering Wind Condition Zoning

Li Sun, Fanjun Zeng, Hongbo Liu, Chenglian Ma^*, Qiting Zhang, Jingzhou Zhu

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, 132012, China

* Corresponding Author: Chenglian Ma. Email:

Energy Engineering 2026, 123(9), 22 https://doi.org/10.32604/ee.2025.073405

Received 17 September 2025; Accepted 21 November 2025; Issue published 06 August 2026

Abstract

The widespread integration of large-scale wind power has resulted in decreased equivalent inertia in power systems, thereby compromising their frequency regulation (FR) capabilities. Conventional synthetic inertia control faces challenges under stochastic wind conditions, including inadequate utilization of rotor kinetic energy in high wind condition regions and the risk of triggering rotor speed stability limits in low wind condition regions. To overcome these limitations, in this paper, a parameter adaptive synthetic virtual inertial control (SVIC) framework based on wind speed partition is proposed. The control mechanisms are designed differently across partitioned wind condition intervals: in high-wind-speed zones, a simplified fuzzy rule set dynamically optimizes the virtual inertia and droop coefficients (Kd and Kp), enhancing performance by aggressively yet safely utilizing the rotor’s stored energy within a predefined secure speed range. Conversely, under low-wind conditions, an adaptive attenuation mechanism safeguards rotor speed by scaling down these coefficients. Simulation results demonstrate that the proposed strategy effectively balances FR efficacy and operational security under stochastic wind conditions. It achieves improvement in the frequency nadir while constraining rotor speed fluctuations within safe limits, thereby providing substantial support for enhancing system frequency stability.

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