Structurally Constrained ell 1-Sparse Control of Power Systems: Online Design and Resiliency Analysis
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Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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
WoS Q
Scopus Q

OpenCitations Citation Count
5
Source
2018 Annual American Control Conference ACC 2018
Volume
2018-June
Issue
Start Page
4195
End Page
4200
Collections
PlumX Metrics
Citations
CrossRef : 2
Scopus : 5
Captures
Mendeley Readers : 11
SCOPUS™ Citations
5
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