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In today's cyber-enabled smart grids, high penetration of uncertain renewables, purposeful manipulation of meter readings, and the need for wide-area situational awareness, call for fast, accurate, and robust power system state estimation.
F. C. Schweppe, J. Wildes, and D. Rom, “Power system static state estimation: Parts I, II, and III,” IEEE Trans. Power App. Syst. , vol. 89, pp. 120–135, Jan. 1970
1970
Earlier work this paper cites.
H. M. Merrill and F. C. Schweppe, “Bad data suppression in power system static state estimation,” IEEE Trans. Power App. Syst. , no. 6, pp. 2718–2725, Nov. 1971
1971
Earlier work this paper cites.
W. W. Kotiuga and M. Vidyasagar, “Bad data rejection properties of weighted least-absolute-value techniques applied to static state estimation,” IEEE Trans. Power App. Syst. , no. 4, pp. 844–853, Apr. 1982
1982
Earlier work this paper cites.
J. V. Burke, “Descent methods for composite nondifferentiable optimization problems,” Math. Program. , vol. 33, no. 3, pp. 260–279, Dec. 1985
1985
Earlier work this paper cites.
A. Abur and M. K. Celik, “A fast algorithm for the weighted least-absolute-value state estimation (for power systems),” IEEE Trans. Power Syst. , vol. 6, no. 1, pp. 1–8, Feb. 1991
1991
Earlier work this paper cites.
L. Mili, M. G. Cheniae, and P. J. Rousseeuw, “Robust state estimation of electric power systems,” IEEE Trans. Circuits Syst. I , vol. 41, no. 5, pp. 349–358, May 1994
1994
Earlier work this paper cites.
L. Mili, M. Cheniae, N. Vichare, and P. J. Rousseeuw, “Robust state estimation based on projection statistics [of power systems],” IEEE Trans. Power Syst. , vol. 11, no. 2, pp. 1118–1127, May 1996
1996
Earlier work this paper cites.
D. P. Bertsekas, Nonlinear Programming , 2nd ed. Belmont, MA: Athena Scientific, 1999
1999
Earlier work this paper cites.
R. C. Pires, A. S. Costa, and L. Mili, “Iteratively reweighted Least-Squares state estimation through givens rotations,” IEEE Trans. Power Syst. , vol. 14, no. 4, pp. 1499–1507, Nov. 1999
1999
Earlier work this paper cites.
J. F. Sturm, “Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones,” Optim. Method Softw. , vol. 11, no. 1-4, pp. 625–653, Jan. 1999
1999
Earlier work this paper cites.
R. Jabr and B. Pal, “Iteratively re-weighted least-absolute-value method for state estimation,” IEE Proc.-Gener. Transm. Distrib. , vol. 150, no. 4, pp. 385–391, July 2003
2003
Earlier work this paper cites.
A. Abur and A. Gómez-Expósito, Power System State Estimation: Theory and Implementation . New York, NY: Marcel Dekker, 2004
2004
Earlier work this paper cites.
R. Jabr and B. Pal, “Iteratively reweighted Least-Squares implementation of the WLAV state-estimation method,” vol. 151, no. 1, pp. 103–108, Feb. 2004
2004
Earlier work this paper cites.
M. Grant and S. Boyd, “CVX: Matlab software for disciplined convex programming,” 2008. [Online]. Available: http://cvxr.com/cvx
2008
Cited alongside, same era.
W. A. Wulf, “Great achievements and grand challenges,” The Bridge , vol. 30, no. 3/4, pp. 5–10, Fall 2010. [Online]. Available: http://www.greatachievements.org/
2010
Cited alongside, same era.
M. A. Gandhi and L. Mili, “Robust Kalman filter based on a generalized maximum-likelihood-type estimator,” IEEE Trans. Signal Process. , vol. 58, no. 5, pp. 2509–2520, May 2010
2010
Cited alongside, same era.
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein, “Distributed optimization and statistical learning via the alternating direction method of multipliers,” Found. Trends Mach. Learn. , vol. 3, pp. 1–122, 2010
2010
Cited alongside, same era.
P. J. Huber, “Robust Statistics,” in International Encyclopedia of Statistical Science . Springer, 2011, pp. 1248–1251
D. U. Case, “Analysis of the cyber attack on the Ukrainian power grid,” 2016
2016
Later among the works it cites.
A. S. Lewis and S. J. Wright, “A proximal method for composite minimization,” Math. Program. , vol. 158, no. 1-2, pp. 501–546, July 2016
2016
Later among the works it cites.
Y. Zhang, R. Madani, and J. Lavaei, “Conic relaxations for power system state estimation with line measurements,” IEEE Trans. Control Netw. Syst. , 2017 (to appear)
2017
Closest in time.
C. Xu and A. Abur, “A fast and robust linear state estimator for very large scale interconnected power grids,” IEEE Trans. Smart Grid , vol. PP, no. 99, pp. 1–1, 2017
2017
Closest in time.
2017
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2011
Cited alongside, same era.
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 Trans. Power Syst. , vol. 26, no. 1, pp. 12–19, Feb. 2011
2011
Cited alongside, same era.
S. Zonouz, K. M. Rogers, R. Berthier, R. B. Bobba, W. H. Sanders, and T. J. Overbye, “SCPSE: Security-oriented cyber-physical state estimation for power grid critical infrastructures,” IEEE Trans. Smart Grid , vol. 3, no. 4, pp. 1790–1799, Dec. 2012
2012
Cited alongside, same era.
E. Caro and A. Conejo, “State estimation via mathematical programming: A comparison of different estimation algorithms,” IEE Proc.-Gener. Transm. Distrib. , vol. 6, no. 6, pp. 545–553, Jun. 2012
2012
Cited alongside, same era.
V. Kekatos and G. B. Giannakis, “Distributed robust power system state estimation,” IEEE Trans. Power Syst. , vol. 28, no. 2, pp. 1617–1626, May 2013
2013
Cited alongside, same era.
H. Zhu and G. B. Giannakis, “Power system nonlinear state estimation using distributed semidefinite programming,” IEEE J. Sel. Topics Signal Process. , vol. 8, no. 6, pp. 1039–1050, Dec. 2014
2014
Cited alongside, same era.
M. Gol and A. Abur, “LAV based robust state estimation for systems measured by PMUs,” IEEE Trans. Smart Grid , vol. 5, no. 4, pp. 1808–1814, Jul. 2014
2014
Cited alongside, same era.
2015
Cited alongside, same era.
Closest in time.
2017
Closest in time.
J. Zhao and L. Mili, “Vulnerability of the largest normalized residual statistical test to leverage points,” IEEE Trans. Power Syst. , vol. 33, no. 4, pp. 4643–4646, July 2018
2018
Closest in time.
J. Zhao, L. Mili, and R. C. Pires, “Statistical and numerical robust state estimator for heavily loaded power systems,” IEEE Trans. Power Syst. , pp. 1–1, 2018 (to appear)
2018
Closest in time.
G. Wang, G. B. Giannakis, and Y. C. Eldar, “Solving systems of random quadratic equations via truncated amplitude flow,” IEEE Trans. Inf. Theory , vol. 64, no. 2, pp. 773–794, Feb. 2018
2018
Closest in time.
G. Wang, A. S. Zamzam, G. B. Giannakis, and N. D. Sidiropoulos, “Power system state estimation via feasible point pursuit: Algorithms and Crmér-Rao bound,” IEEE Trans. Signal Process. , vol. 66, no. 6, pp. 1649–1658, Mar. 2018
2018
Closest in time.
G. Wang, G. B. Giannakis, J. Chen, and J. Sun, “Distribution system state estimation: An overview of recent developments,” Front. Inf. Technol. Electron. Eng. , vol. 20, no. 1, pp. 1–14, Jan. 2019
2019
Closest in time.
D. Davis and D. Drusvyatskiy, “Stochastic model-based minimization of weakly convex functions,” SIAM J. Optimiz. , vol. 29, no. 1, pp. 207–239, Jan. 2019
2019
Closest in time.
G. Wang, H. Zhu, G. B. Giannakis, and J. Sun, “Robust power system state estimation from rank-one measurements,” IEEE Trans. Control Netw. Syst. , 2019, DOI:10.1109/TCNS.2019.2890954
2019
Closest in time.