Abstract

Placing appropriate numbers of PMUs is critical to collect phase angle data for best identifying multiple line outages in wide-area transmission system, because of high deployment costs. This work focuses on exploring the global optimal strategy of PMU deployment for maximizing the average identification capability of multiple line outages. Inspired by Kullback-Leibler (KL) distance, this paper proposes the closed-form mathematical model to describe the average identification capability of multiple simultaneous line outages. Using IEEE 14-bus system, the optimal trade-off between the average identification capability and the number of PMUs is characterized. The proposed model successfully portrays the statistical identification performance of multiple line outages. The numerical result shows that the global optimal PMU placement algorithm has higher average identification capability when compared to the random PMU placement algorithm.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

average identification capability; dissimilarity distance; Multiple line outages; number of PMUs

International Standard Book Number (ISBN)

978-147994134-6;978-147994134-6

International Standard Serial Number (ISSN)

1548-3746

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

23 Sep 2014

Share

 
COinS