Power System State Estimation via Feasible Point Pursuit: Algorithms and Cramér-Rao Bound
暂无分享,去创建一个
[1] Ahmed S. Zamzam,et al. Beyond Relaxation and Newton–Raphson: Solving AC OPF for Multi-Phase Systems With Renewables , 2016, IEEE Transactions on Smart Grid.
[2] Phani Chavali,et al. Distributed Power System State Estimation Using Factor Graphs , 2015, IEEE Transactions on Signal Processing.
[3] Ali Abur,et al. A robust WLAV state estimator using transformations , 1992 .
[4] Fred C. Schweppe,et al. Power System Static-State Estimation, Part I: Exact Model , 1970 .
[5] Georgios B. Giannakis,et al. Power System Nonlinear State Estimation Using Distributed Semidefinite Programming , 2014, IEEE Journal of Selected Topics in Signal Processing.
[6] Yonina C. Eldar,et al. Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow , 2016, IEEE Transactions on Information Theory.
[7] Gang Wang,et al. Power system state estimation via feasible point pursuit , 2017, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
[8] Ali Abur,et al. On the use of PMUs in power system state estimation , 2011 .
[9] Francisco Facchinei,et al. Feasible methods for nonconvex nonsmooth problems with applications in green communications , 2017, Math. Program..
[10] Gang Wang,et al. Online semidefinite programming for power system state estimation , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[11] Georgios B. Giannakis,et al. Estimating the state of AC power systems using semidefinite programming , 2011, 2011 North American Power Symposium.
[12] Georgios B. Giannakis,et al. Distributed Robust Power System State Estimation , 2012, IEEE Transactions on Power Systems.
[13] Nikos D. Sidiropoulos,et al. Feasible Point Pursuit and Successive Approximation of Non-Convex QCQPs , 2014, IEEE Signal Processing Letters.
[14] Gordon P. Wright,et al. Technical Note - A General Inner Approximation Algorithm for Nonconvex Mathematical Programs , 1978, Oper. Res..
[15] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[16] Gang Wang,et al. Stochastic Reactive Power Management in Microgrids With Renewables , 2015 .
[17] Thomas L. Marzetta,et al. Parameter estimation problems with singular information matrices , 2001, IEEE Trans. Signal Process..
[18] Gert R. G. Lanckriet,et al. On the Convergence of the Concave-Convex Procedure , 2009, NIPS.
[19] Katta G. Murty,et al. Some NP-complete problems in quadratic and nonlinear programming , 1987, Math. Program..
[20] Panos M. Pardalos,et al. Quadratic programming with one negative eigenvalue is NP-hard , 1991, J. Glob. Optim..
[21] Ken Kreutz-Delgado,et al. The Complex Gradient Operator and the CR-Calculus ECE275A - Lecture Supplement - Fall 2005 , 2009, 0906.4835.
[22] Gang Wang,et al. Moving-horizon dynamic power system state estimation using semidefinite relaxation , 2013, 2014 IEEE PES General Meeting | Conference & Exposition.
[23] Karen Jackson,et al. Great Achievements and Great Challenges , 2013 .
[24] S. Low,et al. Zero Duality Gap in Optimal Power Flow Problem , 2012, IEEE Transactions on Power Systems.
[25] William F. Tinney,et al. Power Flow Solution by Newton's Method , 1967 .
[26] Gang Wang,et al. PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches , 2017, ArXiv.
[27] Yu Zhang,et al. Conic Relaxations for Power System State Estimation With Line Measurements , 2017, IEEE Transactions on Control of Network Systems.
[28] Donald Goldfarb,et al. Second-order cone programming , 2003, Math. Program..
[29] R D Zimmerman,et al. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.
[30] Stephen P. Boyd,et al. General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming , 2017, 1703.07870.
[31] Alan L. Yuille,et al. The Concave-Convex Procedure , 2003, Neural Computation.
[32] Georgios B. Giannakis,et al. Monitoring and Optimization for Power Grids: A Signal Processing Perspective , 2013, IEEE Signal Processing Magazine.
[33] Joe H. Chow,et al. Improving performance of the non-iterative direct state estimation method , 2014, 2014 Power and Energy Conference at Illinois (PECI).
[34] Pascal Van Hentenryck,et al. AC-Feasibility on Tree Networks is NP-Hard , 2014, IEEE Transactions on Power Systems.
[35] Johan Löfberg,et al. YALMIP : a toolbox for modeling and optimization in MATLAB , 2004 .
[36] Na Li,et al. A Distributed Gauss-Newton Method for Power System State Estimation , 2016, IEEE Transactions on Power Systems.