Structurally Constrained ell 1-Sparse Control of Power Systems: Online Design and Resiliency Analysis

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Date

2018

Authors

Abhishek Jain
Aranya Chakrabortty
Emrah Biyik

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

Yes

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No
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Top 10%
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Average
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Average

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Abstract

This paper presents a sparse Linear Quadratic Regulator (LQR) design for damping oscillations in wide-area power system networks. We first show how depending on the severity and location of a fault different sets of generators can have different contributions to the inter-area oscillation modes. This information is used to construct the communication topology for feedback control. An additional layer of sparsity is imposed on top of this communication structure by posing an ell 1-sparsification of the generator states that are transmitted through each communication link. An algorithm is provided where the designed sparse controller is also used to enhance the resiliency of the closed-loop system against denial-of-service (DoS) attacks. Results are validated using simulations on the IEEE 39-bus New England power system model. © 2018 Elsevier B.V. All rights reserved.

Description

Keywords

Denial-of-service Attacks, Optimal Control, Power Systems, Sparsity-promoting Control, Optimal Control, Power Systems, Denial-of-Service Attacks, Sparsity-Promoting Control

Fields of Science

0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

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OpenCitations Citation Count
5

Source

2018 Annual American Control Conference ACC 2018

Volume

2018-June

Issue

Start Page

4195

End Page

4200
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Citations

CrossRef : 2

Scopus : 5

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Mendeley Readers : 11

SCOPUS™ Citations

5

checked on Apr 09, 2026

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