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Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning
Power Generation Technology   Vol. 47, Issue 3, Pages: 526-535(2026)
Intelligent Learning-Empowered Power Generation in New Power Systems|Updated:2026-08-17
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    • Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning

    • “The optimization of reactive power voltage coordination control in offshore wind farms faces the challenge of traditional methods relying on detailed parameters and time-consuming solutions. A Chinese research team proposes an optimization method based on an improved depth deterministic policy gradient, establishes a reactive power voltage coordination optimization operation model, transforms the multi constraint optimization problem into a Markov decision process, and uses iDDPG for solving. It has significant advantages in model solving accuracy and real-time response speed, providing a new solution for improving voltage stability in offshore wind farms.”
    • DOI:10.12096/j.2096-4528.pgt.260306    

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    • Revised:2025-08-12,

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ZHANG Chunyan
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Related Institution

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