Improving Electric-Grid Frequency Stability: An In-depth Examination Windmills-partaking in-Frequency stability

As wind energy gains prominence as a significant power source, the capacity of the (windmills) Doubly-fed Induction Generator (DFIG) to respond to load variations in the power grid is restricted by decoupled active power control, posing a noteworthy concern. This study delves into the windmill's (DFIG) capabilities in aiding frequency regulation (FR). We explore mathematical relationships between the rate of wind energy incorporation, windmills regulation capabilities, frequency modulation (FM), and wind energy efficiency. This paper introduces innovative control strategies that enhance the proactive role of adjustable windmills, endowed with augmented virtual inertia, in stabilizing grid frequency. Our research scrutinizes how wind energy influences grid frequency stability under changing conditions – from fluctuating wind velocities and steady operational states to sudden shifts in load demand. Utilizing data from Yunnan-Power-Grid, alongside MATLAB/Simulink and a windmill model. We demonstrate the effectiveness of windmills (DFIG) in maintaining grid frequency. Our analysis also incorporates windmill models designed for FR into a comprehensive two (02)-areas, four (04)-machines electricity-network grid design, pinpointing the optimal percentage of tunable windmills required for maintaining grid frequency equilibrium. The simulation findings underscore the importance of prioritizing windmills (DFIG) operating at standard velocities within windmill fields for effective frequency control.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-15
DOI
https://doi.org/10.5281/zenodo.13325640
Primary Topic
Machine Learning and Data Classification
Type
article
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article

Improving Electric-Grid Frequency Stability: An In-depth Examination Windmills-partaking in-Frequency stability

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning and Data Classification
article

Improving Electric-Grid Frequency Stability: An In-depth Examination Windmills-partaking in-Frequency stability

article en

Abstract

As wind energy gains prominence as a significant power source, the capacity of the (windmills) Doubly-fed Induction Generator (DFIG) to respond to load variations in the power grid is restricted by decoupled active power control, posing a noteworthy concern. This study delves into the windmill's (DFIG) capabilities in aiding frequency regulation (FR). We explore mathematical relationships between the rate of wind energy incorporation, windmills regulation capabilities, frequency modulation (FM), and wind energy efficiency. This paper introduces innovative control strategies that enhance the proactive role of adjustable windmills, endowed with augmented virtual inertia, in stabilizing grid frequency. Our research scrutinizes how wind energy influences grid frequency stability under changing conditions – from fluctuating wind velocities and steady operational states to sudden shifts in load demand. Utilizing data from Yunnan-Power-Grid, alongside MATLAB/Simulink and a windmill model. We demonstrate the effectiveness of windmills (DFIG) in maintaining grid frequency. Our analysis also incorporates windmill models designed for FR into a comprehensive two (02)-areas, four (04)-machines electricity-network grid design, pinpointing the optimal percentage of tunable windmills required for maintaining grid frequency equilibrium. The simulation findings underscore the importance of prioritizing windmills (DFIG) operating at standard velocities within windmill fields for effective frequency control.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 61%
Machine Learning and Data Classification
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