Fetching the paper…
Reading the bibliography…
This paper formulates an inverse power flow problem which is to infer a nodal admittance matrix (hence the network structure of a power system) from voltage and current phasors measured at a number of buses.
S. Wright and J. Nocedal, “Numerical optimization,” Springer Science , vol. 35, pp. 67–68, 1999
1999
Earlier work this paper cites.
R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, “MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education,” IEEE Transactions on Power Systems , vol. 26, no. 1, pp. 12–19, Feb 2011
2011
Earlier work this paper cites.
H. Zhu and G. B. Giannakis, “Sparse overcomplete representations for efficient identification of power line outages,” IEEE Transactions on Power Systems , vol. 27, no. 4, pp. 2215–2224, November 2012
2012
Earlier work this paper cites.
2012
Earlier work this paper cites.
F. Dorfler and F. Bullo, “Kron Reduction of Graphs With Applications to Electrical Networks,” IEEE Transactions on Circuits and Systems I: Regular Papers , vol. 60, no. 1, pp. 150–163, Jan 2013
2013
Earlier work this paper cites.
X. Li, H. V. Poor, and A. Scaglione, “Blind topology identification for power systems,” in Proc. IEEE SmartGridComm , 2013
2013
Earlier work this paper cites.
V. Kekatos, G. B. Giannakis, and R. Baldick, “Grid topology identification using electricity prices,” in IEEE PES General Meeting — Conference Exposition , July 2014, pp. 1–5
2014
Earlier work this paper cites.
M. Grant and S. Boyd, “CVX: Matlab software for disciplined convex programming, version 2.1,” http://cvxr.com/cvx , Mar. 2014
2014
Earlier work this paper cites.
Y. Liao, Y. Weng, M. Wu, and R. Rajagopal, “Distribution grid topology reconstruction: An information theoretic approach,” in North American Power Symposium , Oct 2015, pp. 1–6
2015
Earlier work this paper cites.
M. Babakmehr, M. G. Simoes, M. B. Wakin, and F. Harirchi, “Compressive Sensing-Based Topology Identification for Smart Grids,” IEEE Transactions on Industrial Informatics , vol. 12, no. 2, pp. 532–543, April 2016
2016
Cited alongside, same era.
D. Deka, S. Backhaus, and M. Chertkov, “Estimating distribution grid topologies: A graphical learning based approach,” in 2016 Power Systems Computation Conference (PSCC) , 2016, pp. 1–7
2016
Cited alongside, same era.
Y. Liao, Y. Weng, and R. Rajagopal, “Urban Distribution Grid Topology Reconstruction via Lasso,” in IEEE PES General Meeting , July 2016, pp. 1–6
2016
Cited alongside, same era.
2016
Cited alongside, same era.
K. Dehghanpour, Z. Wang, J. Wang, Y. Yuan, and F. Bu, “A survey on state estimation techniques and challenges in smart distribution systems,” IEEE Transactions on Smart Grid , vol. 10, no. 2, pp. 2312–2322, 2018
2018
Closest in time.
D. Deka, S. Backhaus, and M. Chertkov, “Structure learning in power distribution networks,” IEEE Transactions on Control of Network Systems , vol. 5, no. 3, pp. 1061–1074, September 2018
2018
Closest in time.
G. Cavraro and V. Kekatos, “Graph algorithms for topology identification using power grid probing,” IEEE control systems letters , vol. 2, no. 4, pp. 689–694, 2018
2018
Closest in time.
O. Ardakanian, V. W. Wong, R. Dobbe, S. H. Low, A. von Meier, C. J. Tomlin, and Y. Yuan, “On identification of distribution grids,” IEEE Transactions on Control of Network Systems , vol. 6, no. 3, pp. 950–960, 2019
2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C. Le Floch, S. Bansal, C. J. Tomlin, S. J. Moura, and M. N. Zeilinger, “Plug-and-play model predictive control for load shaping and voltage control in smart grids,” IEEE Transactions on Smart Grid , vol. 10, no. 3, pp. 2334–2344, 2017
2017
Cited alongside, same era.
J. Yu, Y. Weng, and R. Rajagopal, “Patopa: A data-driven parameter and topology joint estimation framework in distribution grids,” IEEE Transactions on Power Systems , vol. 33, no. 4, pp. 4335–4347, 2017
2017
Cited alongside, same era.
G. Cavraro, V. Kekatos, and S. Veeramachaneni, “Voltage analytics for power distribution network topology verification,” IEEE Transactions on Smart Grid , vol. 10, no. 1, pp. 1058–1067, 2017
2017
Cited alongside, same era.
O. Ardakanian, Y. Yuan, R. Dobbe, A. von Meier, S. Low, and C. Tomlin, “Event detection and localization in distribution grids with phasor measurement units,” in IEEE Power Energy Society General Meeting , July 2017, pp. 1–5
2017
Cited alongside, same era.
IEEE, “14 Bus Test Case,” https://www.ee.washington.edu/research/pstca/pf14/pg_tca14bus.htm
Cited in the paper.
P. Zhuang, R. Deng, and H. Liang, “False data injection attacks against state estimation in multiphase and unbalanced smart distribution systems,” IEEE Transactions on Smart Grid , vol. 10, no. 6, pp. 6000–6013, 2019
2019
Closest in time.
Y. Yuan, X. Tang, W. Zhou, W. Pan, X. Li, H.-T. Zhang, H. Ding, and J. Goncalves, “Data driven discovery of cyber physical systems,” Nature communications , vol. 10, no. 1, pp. 1–9, 2019
2019
Closest in time.
S. Park, D. Deka, S. Backhaus, and M. Chertkov, “Learning with end-users in distribution grids: Topology and parameter estimation,” IEEE Transactions on Control of Network Systems , vol. 7, no. 3, pp. 1428–1440, 2020
2020
Closest in time.
H. Li, Y. Weng, Y. Liao, B. Keel, and K. E. Brown, “Distribution grid impedance & topology estimation with limited or no micro-pmus,” International Journal of Electrical Power & Energy Systems , vol. 129, p. 106794, 2021
2021
Closest in time.