LAPSE:2023.22600
Published Article
LAPSE:2023.22600
A Study on the Out-of-Step Detection Algorithm Using Time Variation of Complex Power-Part II: Out-of-Step Detection Algorithm and Simulation Results
You-Jin Lee, O-Sang Kwon, Jeong-Yong Heo, Chul-Hwan Kim
March 24, 2023
One of the established unstable power swing (out-of-step) detection algorithms in micro grid/smart grid power systems uses a trajectory of apparent impedance in the R-X plane. However, this algorithm is not suitable for fast out-of-step conditions and it is hard to detect out-of-step conditions exactly. Another algorithm for out-of-step detection is using phasor measurement units (PMUs). However, PMUs need extra equipment. This paper presents the out-of-step detection algorithm using the trajectory of complex power. The trajectory of complex power and generator mechanical power is used to identify out-of-step conditions. A second order low pass digital filter is used to extract the generator mechanical power from the complex power. Variations of complex power are used to identify equilibrium points between stable and unstable conditions. The proposed out-of-step algorithm is based on the modification of assessment of a transient stability using equal area criterion (EAC). The proposed out-of-step algorithm is verified and tested by using alternative transient program/electromagnetic transient program (ATP/EMTP) MODELS.
Keywords
complex power, equal area criterion, micro grid protection, out-of-step, power swing, smart grid protection, transient stability
Suggested Citation
Lee YJ, Kwon OS, Heo JY, Kim CH. A Study on the Out-of-Step Detection Algorithm Using Time Variation of Complex Power-Part II: Out-of-Step Detection Algorithm and Simulation Results. (2023). LAPSE:2023.22600
Author Affiliations
Lee YJ: KEPCO Research Institute (KEPRI), Daejeon 34056, Korea [ORCID]
Kwon OS: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16410, Korea
Heo JY: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16410, Korea
Kim CH: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16410, Korea [ORCID]
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1833
Year
2020
Publication Date
2020-04-10
Published Version
ISSN
1996-1073
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PII: en13071833, Publication Type: Journal Article
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LAPSE:2023.22600
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doi:10.3390/en13071833
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Mar 24, 2023
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