A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems

A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind–thermal bundled power systems

The wind–thermal bundled power system achieves energy complementarity and optimized scheduling, which is an important way to build a new type of energy system. For the safe and stable operation of the wind–thermal bundled power system, accurate data-driven analysis is necessary to maintain real-time...

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Bibliographic Details
Main Authors: Shuai Wang, Bin Li, Guanzheng Li, Botong Li, Hongbo Li, Kui Jiao, Chengshan Wang
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Energy and AI
Subjects:
Wind power prediction
Automatic generation control
Performance evaluation
Data-driven
Feature analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824000028

Internet

http://www.sciencedirect.com/science/article/pii/S2666546824000028

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