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Energies 2017, 10(8), 1088; https://doi.org/10.3390/en10081088

Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach

1
Electrical Engineering Department, Shahed University, Tehran 3319118651, Iran
2
Iran Grid Management Company (IGMC), Teheran 1996836111, Iran
*
Author to whom correspondence should be addressed.
Received: 16 May 2017 / Revised: 28 June 2017 / Accepted: 19 July 2017 / Published: 26 July 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

Detecting critical power system events for Dynamic Security Assessment (DSA) is required for reliability improvement. The approach proposed in this paper investigates the effects of events on dynamic behavior during nonlinear system response while common approaches use steady-state conditions after events. This paper presents some new and enhanced indices for event ranking based on time-domain simulation and polytopic linear parameter-varying (LPV) modeling of a power system. In the proposed approach, a polytopic LPV representation is generated via linearization about some points of the nonlinear dynamic behavior of power system using wide-area measurement system (WAMS) concepts and then event ranking is done based on the frequency response of the system models on the vertices. Therefore, the nonlinear behaviors of the system in the time of fault occurrence are considered for events ranking. The proposed algorithm is applied to a power system using nonlinear simulation. The comparison of the results especially in different fault conditions shows the advantages of the proposed approach and indices. View Full-Text
Keywords: wide-area measurement system; event ranking; power system stability; nonlinear systems; linear parameter-varying modeling wide-area measurement system; event ranking; power system stability; nonlinear systems; linear parameter-varying modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Abolhasani Jabali, M.B.; Kazemi, M.H. Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach. Energies 2017, 10, 1088.

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