Research on Reactive Power Margin Optimization of Doubly-Fed Induction Generator Wind Farms Based on Improved Proximal Policy Optimization Algorithm

ObjectivesTo mitigate voltage fluctuations at the grid-connected points of doubly-fed induction generator wind farms while enhancing their reactive power margin, thereby strengthening their transient voltage support capability, a reactive power margin optimization method based on an improved proxima...

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Detaylı Bibliyografya
Asıl Yazarlar:	YU Da, WU Zhitao, CHEN Ziwen, LIN Xu, WANG Weihua, LIU Chongru
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Editorial Department of Power Generation Technology 2026-06-01
Seri Bilgileri:	发电技术
Konular:	doubly-fed induction generator wind farm reactive power margin optimization deep reinforcement learning proximal policy optimization clipping coefficient
Online Erişim:	https://www.pgtjournal.com/thesisDetails#10.12096/j.2096-4528.pgt.260307&lang=zh
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Research on Reactive Power Margin Optimization of Doubly-Fed Induction Generator Wind Farms Based on Improved Proximal Policy Optimization Algorithm

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