A singular value decomposition-based technique for decoupling and analyzing power networks. (January 2016)

• Record Type: Journal Article
• Authors: Rahimi Pordanjani, Iraj; Xu, Wilsun
• Is Part Of: International journal of electrical power & energy systems. Volume 74(2016:Jan.)
• Page Start: 265
• Page End: 273
• Publication Date: 2016-01
• Subjects: Channel components transform -- Voltage stability -- Singular value decomposition; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2015.07.028
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A new SVD-based transformation is proposed to decouple and analyze power systems. A complex power system is converted into decoupled one-branch networks. Power system studies such as voltage stability can be performed using the decoupled networks. An algorithm is presented for voltage stability analysis using the proposed transformation. Case study results reveal the validity and effectiveness of the proposed methods. Abstract: An eigen-based transformation called Channel Components Transform (CCT) has been recently proposed for decoupling power networks. CCT has revealed many unique features in power system studies especially voltage stability analysis and monitoring. However, this method may face some difficulties in certain situations. The difficulties including the non-existence difficulty and the robustness difficulty are discussed in this paper. This paper will then show that by using the singular value decomposition instead of the eigen-decomposition, the difficulties can be effectively overcome. Therefore, a new transformation based on singular value decomposition is proposed. An algorithm is also presented which shows how the proposed transformation can be applied to voltage stability analysis. The proposed algorithm is verified by using several standard systems as case studies.