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A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data
Zheng Xing1,2; Liu JR(劉景榮)1,2
2022-02
Conference Name2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)
Conference Date2022-02
Conference PlaceJapan
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.

KeywordPower Estimation, Data-driven, Power Flow Model, Incomplete Data
Indexed ByEI
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau
2.The State Key Laboratory of Internet of Things for Smart City, University of Macau
First Author AffilicationFaculty of Science and Technology;  University of Macau
Recommended Citation
GB/T 7714
Zheng Xing,Liu JR. A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data[C], 2022.
APA Zheng Xing., & Liu JR (2022). A Modified Data-driven Power Flow Model for Power Estimation with Incomplete Bus Data. .
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