NDLI: PMU Ranking Based on Singular Value Decomposition of Dynamic Stability Matrix

Content Provider	IEEE Xplore Digital Library
Author	Dehghani, M. Shayanfard, B. Khayatian, A.R.
Copyright Year	1969
Abstract	One of the most important applications of phasor measurement units (PMUs) is dynamic stability assessment. PMUs should be placed on the buses which can provide the most effective information for assessing dynamic stability. Usually, PMU placement problem is solved such that the system becomes fully observable. This paper proposes a technique based on singular value decomposition (SVD) to define the role of each placement in dynamic stability assessment and find the best PMU places to achieve this goal. Since observability is still a very important factor, the integer linear programming method is used to solve the optimal PMU placement problem for full system observability. Then, two algorithms are suggested to rank the PMU places according to their effect on dynamic stability which is assessed by the Prony analysis. The SVD of the Prony matrix is an index for finding the role of each placement. The suggested method is tested on the New England 39-bus test system. The optimal PMU placement problem for full observability results in nine PMUs. The PMU places are ranked according to their effect on dynamic stability.
Sponsorship	IEEE Power Engineering Society
Starting Page	2263
Ending Page	2270
Page Count	8
File Size	1449652
File Format	PDF
ISSN	08858950
Volume Number	28
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phasor measurement units Power system stability Heuristic algorithms Power system dynamics Stability criteria Observability singular value decomposition (SVD) Integer linear programming observability phasor measurement units (PMUs) power system stability
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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