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A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data
Zheng Xing1; Keng-Weng Lao1; HongJun Gao2; NingYi Dai1
2022
Conference Name12th International Conference on Power, Energy and Electrical Engineering (CPEEE)
Source PublicationProceedings of 2022 12th International Conference on Power, Energy and Electrical Engineering, CPEEE 2022
Pages316-320
Conference DateFEB 25-27, 2022
Conference PlaceRitsumeikan Univ, Shiga, JAPAN
CountryJAPAN
PublisherIEEE
Abstract

For power estimation in power systems, the power flow formulation is the most commonly used method. Data-driven approach is a newly proposed technology, unlike traditional model-driven power flow calculations, it can bypass circuit parameters and environmental variables to obtain results from global bus data. However, with the development of renewable energy, more complex power grids make it difficult to obtain complete data and reduce performance. Therefore, this paper proposes a method of estimating power from incomplete bus data. The method is based on a modified data-driven power flow model, and its core is to derive and induce a regressive model through the physical model. The simulation results on IEEE standard bus 30 show that this method has higher accuracy than other models in incomplete bus data power estimation.

KeywordData-driven Incomplete Data Power Estimation Power Flow Model
DOI10.1109/CPEEE54404.2022.9738684
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaConstruction & Building Technology ; Engineering
WOS SubjectConstruction & Building Technology ; Engineering, Electrical & Electronic
WOS IDWOS:000814732300055
Scopus ID2-s2.0-85127977665
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Affiliation1.University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electrical and Computer Engineering, Macao, Macao
2.Sichuan University, College of Electrical Engineering, Sichuan, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zheng Xing,Keng-Weng Lao,HongJun Gao,et al. A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data[C]:IEEE, 2022, 316-320.
APA Zheng Xing., Keng-Weng Lao., HongJun Gao., & NingYi Dai (2022). A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data. Proceedings of 2022 12th International Conference on Power, Energy and Electrical Engineering, CPEEE 2022, 316-320.
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