A security level classification method for power systems under N-1 contingency

Lu, Z; He, L; Zhang, D; Zhao, B; Zhang, J; Zhao, H

A security level classification method for power systems under N-1 contingency

Lu, Z He, L Zhang, D Zhao, B Zhang, J

Zhao, H

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Publication Type:: Journal Article
Citation:: Energies, 2017, 10 (12)
Issue Date:: 2017-12-01

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Field	Value	Language
dc.contributor.author	Lu, Z	en_US
dc.contributor.author	He, L	en_US
dc.contributor.author	Zhang, D	en_US
dc.contributor.author	Zhao, B	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722	en_US
dc.contributor.author	Zhao, H	en_US
dc.date.issued	2017-12-01	en_US
dc.identifier.citation	Energies, 2017, 10 (12)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123779
dc.description.abstract	© 2017 by the authors. Licensee MDPI, Basel, Switzerland. Security assessment is crucial for the reliable and secure operation of power systems. This paper proposes a security level classification (SLC) method to analyze the security level of power systems both qualitatively and quantitatively. In this SLC method, security levels are graded according to a comprehensive safety index (CSI), which is defined by integrating the system margin index (SMI) and load entropy. The SMI depends on the operating load and the total supply capacity (TSC) under N-1 contingency, and the load entropy reflects the heterogeneity of load distribution calculated from entropy theory. In order to calculate the TSC under N-1 contingency considering both of the computational accuracy and speed, the TSC is converted into an extended conic quadratic programming (ECQP) model. In addition, the load boundary vector (LBV) model is established to obtain the capacity limit of each load bus, and thus detect potential risks of power systems. Finally, two modified practical power systems and the IEEE 118-bus test system are studied to validate the feasibility of the proposed SLC method.	en_US
dc.relation.ispartof	Energies	en_US
dc.relation.isbasedon	10.3390/en10122055	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A security level classification method for power systems under N-1 contingency	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	10	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. Security assessment is crucial for the reliable and secure operation of power systems. This paper proposes a security level classification (SLC) method to analyze the security level of power systems both qualitatively and quantitatively. In this SLC method, security levels are graded according to a comprehensive safety index (CSI), which is defined by integrating the system margin index (SMI) and load entropy. The SMI depends on the operating load and the total supply capacity (TSC) under N-1 contingency, and the load entropy reflects the heterogeneity of load distribution calculated from entropy theory. In order to calculate the TSC under N-1 contingency considering both of the computational accuracy and speed, the TSC is converted into an extended conic quadratic programming (ECQP) model. In addition, the load boundary vector (LBV) model is established to obtain the capacity limit of each load bus, and thus detect potential risks of power systems. Finally, two modified practical power systems and the IEEE 118-bus test system are studied to validate the feasibility of the proposed SLC method.

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http://hdl.handle.net/10453/123779