This paper explored a novel method for strategic monitoring of a power system to schematically monitor power system variables that are sensitive to transients. The characteristics of a fully developed transient or power swing increase frequency slip rates, generator pole slips, rotor out-of-step etc. whose effects lead to loss of synchronism of coherent generators in a power system. When these occur, the resulting remedy could be load shedding schemes, generator tripping or controlled islanding. Failure to achieve any of these might lead to geographically extensive blackouts and/or the damage of auxiliary power system equipment.This paper looked at the Wide Area Monitoring (WAM) principle, consisting of collection and pre-processing of field data, using Phasor Measurement Units (PMUs). A data mining exercise was performed purposing to identify strategic positions for PMU placement using the Classification and Regression Trees (CART) algorithm. The logic of CART was therefore also discussed.The proposition of strategic PMU placement as implied by the Decision Tree (DT) model acknowledges that a few PMUs in the power system network are capable of achievingWide Area Protection(WAP)functions.
| Published in |
International Journal of Energy and Power Engineering (Volume 4, Issue 2-1)
This article belongs to the Special Issue Electrical Power Systems Operation and Planning |
| DOI | 10.11648/j.ijepe.s.2015040201.18 |
| Page(s) | 81-94 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Wide Area Monitoring, Wide Area Protection, Out-of-Step, Stability, Power Swing, Decision Tree
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APA Style
V. Siyoi, S. Kariuki, M. J. Saulo. (2014). Strategic PMU Placement for Stability Enhancement. International Journal of Energy and Power Engineering, 4(2-1), 81-94. https://doi.org/10.11648/j.ijepe.s.2015040201.18
ACS Style
V. Siyoi; S. Kariuki; M. J. Saulo. Strategic PMU Placement for Stability Enhancement. Int. J. Energy Power Eng. 2014, 4(2-1), 81-94. doi: 10.11648/j.ijepe.s.2015040201.18
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Download@article{10.11648/j.ijepe.s.2015040201.18,
author = {V. Siyoi and S. Kariuki and M. J. Saulo},
title = {Strategic PMU Placement for Stability Enhancement},
journal = {International Journal of Energy and Power Engineering},
volume = {4},
number = {2-1},
pages = {81-94},
doi = {10.11648/j.ijepe.s.2015040201.18},
url = {https://doi.org/10.11648/j.ijepe.s.2015040201.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2015040201.18},
abstract = {This paper explored a novel method for strategic monitoring of a power system to schematically monitor power system variables that are sensitive to transients. The characteristics of a fully developed transient or power swing increase frequency slip rates, generator pole slips, rotor out-of-step etc. whose effects lead to loss of synchronism of coherent generators in a power system. When these occur, the resulting remedy could be load shedding schemes, generator tripping or controlled islanding. Failure to achieve any of these might lead to geographically extensive blackouts and/or the damage of auxiliary power system equipment.This paper looked at the Wide Area Monitoring (WAM) principle, consisting of collection and pre-processing of field data, using Phasor Measurement Units (PMUs). A data mining exercise was performed purposing to identify strategic positions for PMU placement using the Classification and Regression Trees (CART) algorithm. The logic of CART was therefore also discussed.The proposition of strategic PMU placement as implied by the Decision Tree (DT) model acknowledges that a few PMUs in the power system network are capable of achievingWide Area Protection(WAP)functions.},
year = {2014}
}
TY - JOUR T1 - Strategic PMU Placement for Stability Enhancement AU - V. Siyoi AU - S. Kariuki AU - M. J. Saulo Y1 - 2014/12/27 PY - 2014 N1 - https://doi.org/10.11648/j.ijepe.s.2015040201.18 DO - 10.11648/j.ijepe.s.2015040201.18 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 81 EP - 94 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.s.2015040201.18 AB - This paper explored a novel method for strategic monitoring of a power system to schematically monitor power system variables that are sensitive to transients. The characteristics of a fully developed transient or power swing increase frequency slip rates, generator pole slips, rotor out-of-step etc. whose effects lead to loss of synchronism of coherent generators in a power system. When these occur, the resulting remedy could be load shedding schemes, generator tripping or controlled islanding. Failure to achieve any of these might lead to geographically extensive blackouts and/or the damage of auxiliary power system equipment.This paper looked at the Wide Area Monitoring (WAM) principle, consisting of collection and pre-processing of field data, using Phasor Measurement Units (PMUs). A data mining exercise was performed purposing to identify strategic positions for PMU placement using the Classification and Regression Trees (CART) algorithm. The logic of CART was therefore also discussed.The proposition of strategic PMU placement as implied by the Decision Tree (DT) model acknowledges that a few PMUs in the power system network are capable of achievingWide Area Protection(WAP)functions. VL - 4 IS - 2-1 ER -
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