Rolling Smooth Control Method for Renewable Energy Output with Supporting Energy Storage Considered

To address the challenges faced by renewable energy collecting stations on planned output tracking, this paper first introduces the evaluation indices for the planned output tracking capability of renewable energy. Then, it establishes a rolling optimization dispatching model for the energy storage of renewable energy stations and renewable energy collecting stations. It corrects the deviation between the planned output and actual output of each renewable energy station using on-site energy storage. After summarizing the remaining errors, it corrects them with the energy storage of the collecting station, and designs an overall smooth process. Finally, it verifies the proposed method with practical examples.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990508
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
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article

Rolling Smooth Control Method for Renewable Energy Output with Supporting Energy Storage Considered

Shengnan Xu, Zhi Cai, Qiang Ding, Yuxuan Li et al.
Power Systems and Renewable Energy
article

Rolling Smooth Control Method for Renewable Energy Output with Supporting Energy Storage Considered

Shengnan Xu, Zhi Cai, Qiang Ding, Yuxuan Li, Chi Zhang, Xiaojing Hu
article en

Abstract

To address the challenges faced by renewable energy collecting stations on planned output tracking, this paper first introduces the evaluation indices for the planned output tracking capability of renewable energy. Then, it establishes a rolling optimization dispatching model for the energy storage of renewable energy stations and renewable energy collecting stations. It corrects the deviation between the planned output and actual output of each renewable energy station using on-site energy storage. After summarizing the remaining errors, it corrects them with the energy storage of the collecting station, and designs an overall smooth process. Finally, it verifies the proposed method with practical examples.

North China Electric Power University (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 61%
Power Systems and Renewable Energy
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