The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A State-Independent Linear Power Flow Model With Accurate Estimation of Voltage Magnitude
Abstract
Linearized power flow models are of great interest in power system studies such as contingency analyses and reliability assessments, especially for large-scale systems. One of the most popular models-the classical DC power flow model-is widely used and praised for its state independence, robustness, and computational efficiency. Despite its advantages, however, the DC power flow model fails to consider reactive power or bus voltage magnitude. This paper closes this gap by proposing a decoupled linearized power flow (DLPF) model with respect to voltage magnitude and phase angle. The model is state independent but is distinguished by its high accuracy in voltage magnitude. Moreover, this paper presents an in-depth analysis of the DLPF model with the purpose of accelerating its computation speed, leading to the fast DLPF (FDLPF) model. The approximation that is applied to obtain the FDLPF model from the DLPF model is justified by a theoretical derivation and numerical tests. The proposed methods are provably accurate and robust for several cases, including radial distribution systems, meshed large-scale transmission systems and ill-conditioned systems. Finally, expressions for sensitivity with regard to MW flow and bus voltage are provided as a potential application.
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Cites
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On the Existence and Linear Approximation of the Power Flow Solution in Power Distribution Networks
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A Probabilistic Load Flow Method Considering Branch Outages
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Cited by
Data-Driven-Aided Linear Three-Phase Power Flow Model for Distribution Power Systems
Liu, Y., Li, Z., & Zhou, Y. (2022) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2021.3130301 · Cited by 57
Chung, S., Zhang, Y., Wang, Z., & Ding, F. (2024) · arXiv · doi:10.48550/arxiv.2407.19253 · Cited by 3
“In [5], the assumption of flat voltage profiles, i.e., around 1.0 p.u., are adopted.”
BackgroundInfluential
Metadata
- Authors
- Yang, J., Zhang, N., Kang, C., & Xia, Q.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2017-09
- Volume
- 32
- Issue
- 5
- Pages
- 3607-3617
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2565958257
- Cited by
- 365
- References
- 11
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- closed
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