Deep learning approach for wind speed forecasts at turbine locations in a wind farm-Reference-Cited by-同舟云学术

Deep learning approach for wind speed forecasts at turbine locations in a wind farm

Published:2020-09-14 Issue:13 Volume:14 Page:2416-2428
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Kou Peng¹,Wang Chen¹,Liang Deliang¹,Cheng Song²,Gao Lin¹

Affiliation:

1. State Key Laboratory of Electrical Insulation and Power EquipmentShaanxi Key Laboratory of Smart GridSchool of Electrical EngineeringXi'an Jiaotong UniversityXi'anPeople's Republic of China

2. Northwest China Grid Company LimitedXi'an710048ShaanxiPeople's Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.1333

Reference32 articles.

1. World Wind Energy Association: Available athttps://wwindea.org/blog/2019/02/25/wind‐power‐capacity‐worldwide‐reaches‐600‐gw‐539‐gw‐added‐in‐2018/>

2. Control of DFIG-Based Wind Generation for Power Network Support

3. Doubly Fed Induction Generator (DFIG)-Based Wind Farm Control Framework for Primary Frequency and Inertial Response Application

4. Distributed Model Predictive Control of a Wind Farm for Optimal Active Power ControlPart I: Clustering-Based Wind Turbine Model Linearization

5. Primary frequency regulation by deloaded wind turbines using variable droop

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