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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	YU Da, WU Zhitao, CHEN Ziwen, LIN Xu, WANG Weihua, LIU Chongru
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Editorial Department of Power Generation Technology 2026-06-01
Sarja:	发电技术
Aiheet:	doubly-fed induction generator wind farm reactive power margin optimization deep reinforcement learning proximal policy optimization clipping coefficient
Linkit:	https://www.pgtjournal.com/thesisDetails#10.12096/j.2096-4528.pgt.260307&lang=zh
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