Self-healing in power systems: An approach using islanding and rate of frequency decline-based load shedding

Haibo You; Vijay Vittal; Zhong Yang

doi:10.1109/TPWRS.2002.807111

Self-healing in power systems: An approach using islanding and rate of frequency decline-based load shedding

Haibo You, Vijay Vittal, Zhong Yang

Research output: Contribution to journal › Article › peer-review

253 Scopus citations

Abstract

This paper provides a self-healing strategy to deal with catastrophic events when power system vulnerability analysis indicates that the system is approaching an extreme emergency state. In our approach, the system is adaptively divided into smaller islands with consideration of quick restoration. Then, a load shedding scheme based on the rate of frequency decline is applied. The proposed scheme is tested on a 179-bus, 20-generator sample system and shows very good performance.

Original language	English (US)
Pages (from-to)	174-181
Number of pages	8
Journal	IEEE Transactions on Power Systems
Volume	18
Issue number	1
DOIs	https://doi.org/10.1109/TPWRS.2002.807111
State	Published - Feb 2003
Externally published	Yes

Keywords

Islanding
Load shedding
Self-healing
Slow-coherency-based grouping

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TPWRS.2002.807111

Cite this

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abstract = "This paper provides a self-healing strategy to deal with catastrophic events when power system vulnerability analysis indicates that the system is approaching an extreme emergency state. In our approach, the system is adaptively divided into smaller islands with consideration of quick restoration. Then, a load shedding scheme based on the rate of frequency decline is applied. The proposed scheme is tested on a 179-bus, 20-generator sample system and shows very good performance.",

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Self-healing in power systems: An approach using islanding and rate of frequency decline-based load shedding

Abstract

Keywords

ASJC Scopus subject areas

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