Smart grid topology identification using sparse recovery

Mohammad Babakmehr; Marcelo G. Simões; Michael B. Wakin; Ahmed Al Durra; Farnaz Harirchi

doi:10.1109/IAS.2015.7356829

Smart grid topology identification using sparse recovery

Mohammad Babakmehr
, Marcelo G. Simões
, Michael B. Wakin
, Ahmed Al Durra
, Farnaz Harirchi

Electrical Engineering

The Payne Institute for Public Policy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

The technology of smart grid (SG) shapes the traditional power grid into a dynamical network which includes a layer of information that flows through the energy system. Recorded data from a variety of parameters in SGs, can improve analysis of different supervisory problems, but an important issue is the cost and power efficiency in data analysis procedures. This paper presents an efficient solution for topology identification (TI) and monitoring activities in SG. The basic idea of this work comes from combining the sparse recovery theory with graph theory concepts. The power network is modeled as a large interconnected graph, which can be evaluated with the DC power-flow model. Therefore the topology identification for such a system is mathematically reformulated as a sparse recovery problem (SRP), which can be efficiently solved using SRP solvers. In this paper, the network models have been generated with MATPOWER toolbox, and Matlab based simulation results have shown that the proposed method represents a promising approach for real time TI in SGs.

Original language	British English
Title of host publication	IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479983933
DOIs	https://doi.org/10.1109/IAS.2015.7356829
State	Published - 14 Dec 2015
Event	51st Annual Meeting on IEEE Industry Application Society, IAS 2015 - Addison, United States Duration: 11 Oct 2015 → 22 Oct 2015

Publication series

Name	IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record

Conference

Conference	51st Annual Meeting on IEEE Industry Application Society, IAS 2015
Country/Territory	United States
City	Addison
Period	11/10/15 → 22/10/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Compressive Sensing
Smart Grid
Sparse Recovery
Topology Identification

Access to Document

10.1109/IAS.2015.7356829

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Cite this

Babakmehr, M., Simões, M. G., Wakin, M. B., Al Durra, A., & Harirchi, F. (2015). Smart grid topology identification using sparse recovery. In IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record Article 7356829 (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2015.7356829

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Babakmehr, M, Simões, MG, Wakin, MB, Al Durra, A & Harirchi, F 2015, Smart grid topology identification using sparse recovery. in IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record., 7356829, IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record, Institute of Electrical and Electronics Engineers Inc., 51st Annual Meeting on IEEE Industry Application Society, IAS 2015, Addison, United States, 11/10/15. https://doi.org/10.1109/IAS.2015.7356829

Smart grid topology identification using sparse recovery. / Babakmehr, Mohammad; Simões, Marcelo G.; Wakin, Michael B. et al.
IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record. Institute of Electrical and Electronics Engineers Inc., 2015. 7356829 (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Simões, Marcelo G.

AU - Wakin, Michael B.

AU - Al Durra, Ahmed

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Babakmehr M, Simões MG, Wakin MB, Al Durra A, Harirchi F. Smart grid topology identification using sparse recovery. In IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record. Institute of Electrical and Electronics Engineers Inc. 2015. 7356829. (IEEE Industry Application Society - 51st Annual Meeting, IAS 2015, Conference Record). doi: 10.1109/IAS.2015.7356829

Smart grid topology identification using sparse recovery

Abstract

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UN SDGs

Keywords

Access to Document

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