Modified Beetle Annealing Search (BAS) Optimization Strategy for Maxing Wind Farm Power through an Adaptive Wake Digraph Clustering Approach
Owing to scale-up and complex wake effects, the centralized control that processes the command from turbines may be unsuitable, as it incurs high communication overhead and computational complexity for a large offshore wind farm (OWF). This paper proposes a novel decentralized non-convex optimizatio...
Enregistré dans:
Auteurs principaux: | Yanfang Chen, Young-Hoon Joo, Dongran Song |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ce2da6524cd24eaf82f6aa29bd2406f5 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
par: Jennifer Marie Rinker, et autres
Publié: (2021) -
On the Wind Turbine Wake and Forest Terrain Interaction
par: Shyuan Cheng, et autres
Publié: (2021) -
Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain
par: Jeanie A. Aird, et autres
Publié: (2021) -
Experimental study on the characteristics of wind turbine wake field considering yaw conditions
par: Xiuyong Zhao, et autres
Publié: (2021) -
Rockburst Interpretation by a Data-Driven Approach: A Comparative Study
par: Yuantian Sun, et autres
Publié: (2021)