WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude

Takawira Cuthbert Njenda; M. E.H. Golshan; Hassan Haes Alhelou

doi:10.1109/SGC.2018.8777892

WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude

Takawira Cuthbert Njenda, M. E.H. Golshan, Hassan Haes Alhelou

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

12 Citations (Scopus)

Abstract

With the increase in world population and the advancement of industries, demand for power and energy has also sharply increased. Consequently, power systems are usually loaded very close to the steady state stability limit to meet this growing demand. This threatens the secure operation of power systems, therefore schemes that are more intelligent are needed to effectively handle power systems disturbances. In the event of a generation-demand imbalance caused by generator outage under frequency load shedding (UFLS) schemes are implemented. In this paper we propose an UFLS scheme based on the minimum predicted frequency and the extrapolated disturbance magnitude. Based on polynomial curve fitting techniques the future behavior of the system frequency can be predicted. A few data points soon after the disturbance are required to predict the minimum frequency the system will reach. The load to be shed can then be determined from the linear relationship between the frequency drops and load to be shed.

Original language	English
Title of host publication	Conference Proceedings - 2018 Smart Grid Conference (SGC)
Editors	Navid Rezaei
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	465-340
Number of pages	5
ISBN (Electronic)	9781728111384
ISBN (Print)	9781728111377
DOIs	https://doi.org/10.1109/SGC.2018.8777892
Publication status	Published - 2018
Externally published	Yes
Event	IEEE Smart Grid Conference 2018 - Sanandaj, Iran Duration: 28 Nov 2018 → 29 Nov 2018 https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739&rowsPerPage=75&pageNumber=1 (Proceedings) https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en (Website)

Publication series

Name	Proceedings - 2018 Smart Grid Conference, SGC 2018
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)	2572-6935
ISSN (Electronic)	2572-6927

Conference

Conference	IEEE Smart Grid Conference 2018
Abbreviated title	SGC 2018
Country/Territory	Iran
City	Sanandaj
Period	28/11/18 → 29/11/18
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8766285/proceeding?isnumber=8777739&rowsPerPage=75&pageNumber=1 (Proceedings) https://conf.uok.ac.ir/sgc2018/Default.aspx?Lang=en (Website)

Keywords

disturbance extrapolation
Frequency prediction
under frequency load shedding (UFLS)

Access to Document

10.1109/SGC.2018.8777892

Cite this

Njenda, T. C., Golshan, M. E. H., & Alhelou, H. H. (2018). WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. In N. Rezaei (Ed.), Conference Proceedings - 2018 Smart Grid Conference (SGC) (pp. 465-340). (Proceedings - 2018 Smart Grid Conference, SGC 2018). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SGC.2018.8777892

Njenda, Takawira Cuthbert ; Golshan, M. E.H. ; Alhelou, Hassan Haes. / WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. Conference Proceedings - 2018 Smart Grid Conference (SGC). editor / Navid Rezaei. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 465-340 (Proceedings - 2018 Smart Grid Conference, SGC 2018).

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title = "WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude",

abstract = "With the increase in world population and the advancement of industries, demand for power and energy has also sharply increased. Consequently, power systems are usually loaded very close to the steady state stability limit to meet this growing demand. This threatens the secure operation of power systems, therefore schemes that are more intelligent are needed to effectively handle power systems disturbances. In the event of a generation-demand imbalance caused by generator outage under frequency load shedding (UFLS) schemes are implemented. In this paper we propose an UFLS scheme based on the minimum predicted frequency and the extrapolated disturbance magnitude. Based on polynomial curve fitting techniques the future behavior of the system frequency can be predicted. A few data points soon after the disturbance are required to predict the minimum frequency the system will reach. The load to be shed can then be determined from the linear relationship between the frequency drops and load to be shed.",

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doi = "10.1109/SGC.2018.8777892",

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Njenda, TC, Golshan, MEH & Alhelou, HH 2018, WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. in N Rezaei (ed.), Conference Proceedings - 2018 Smart Grid Conference (SGC). Proceedings - 2018 Smart Grid Conference, SGC 2018, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 465-340, IEEE Smart Grid Conference 2018, Sanandaj, Iran, 28/11/18. https://doi.org/10.1109/SGC.2018.8777892

WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. / Njenda, Takawira Cuthbert; Golshan, M. E.H.; Alhelou, Hassan Haes.
Conference Proceedings - 2018 Smart Grid Conference (SGC). ed. / Navid Rezaei. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 465-340 (Proceedings - 2018 Smart Grid Conference, SGC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude

AU - Njenda, Takawira Cuthbert

AU - Golshan, M. E.H.

AU - Alhelou, Hassan Haes

PY - 2018

Y1 - 2018

N2 - With the increase in world population and the advancement of industries, demand for power and energy has also sharply increased. Consequently, power systems are usually loaded very close to the steady state stability limit to meet this growing demand. This threatens the secure operation of power systems, therefore schemes that are more intelligent are needed to effectively handle power systems disturbances. In the event of a generation-demand imbalance caused by generator outage under frequency load shedding (UFLS) schemes are implemented. In this paper we propose an UFLS scheme based on the minimum predicted frequency and the extrapolated disturbance magnitude. Based on polynomial curve fitting techniques the future behavior of the system frequency can be predicted. A few data points soon after the disturbance are required to predict the minimum frequency the system will reach. The load to be shed can then be determined from the linear relationship between the frequency drops and load to be shed.

AB - With the increase in world population and the advancement of industries, demand for power and energy has also sharply increased. Consequently, power systems are usually loaded very close to the steady state stability limit to meet this growing demand. This threatens the secure operation of power systems, therefore schemes that are more intelligent are needed to effectively handle power systems disturbances. In the event of a generation-demand imbalance caused by generator outage under frequency load shedding (UFLS) schemes are implemented. In this paper we propose an UFLS scheme based on the minimum predicted frequency and the extrapolated disturbance magnitude. Based on polynomial curve fitting techniques the future behavior of the system frequency can be predicted. A few data points soon after the disturbance are required to predict the minimum frequency the system will reach. The load to be shed can then be determined from the linear relationship between the frequency drops and load to be shed.

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Njenda TC, Golshan MEH, Alhelou HH. WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. In Rezaei N, editor, Conference Proceedings - 2018 Smart Grid Conference (SGC). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 465-340. (Proceedings - 2018 Smart Grid Conference, SGC 2018). doi: 10.1109/SGC.2018.8777892

WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude

Abstract

Publication series

Conference

Keywords

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