[1]
Zivanovic R, Cairns C: Implementation of PMU technology in state estimation: an overview[C]/AFRICON, 1996., IEEE AFRICON 4th. IEEE, 1996, 2: 1006-1011.
DOI: 10.1109/afrcon.1996.563034
Google Scholar
[2]
Abbasy N H, Ismail H M: A unified approach for the optimal PMU location for power system state estimation[J]. Power Systems, IEEE Transactions on, 2009, 24(2): 806-813.
DOI: 10.1109/tpwrs.2009.2016596
Google Scholar
[3]
Aminifar F, Lucas C, Khodaei A, et al: Optimal placement of phasor measurement units using immunity genetic algorithm[J]. Power Delivery, IEEE Transactions on, 2009, 24(3): 1014-1020.
DOI: 10.1109/tpwrd.2009.2014030
Google Scholar
[4]
Gou B: Optimal placement of PMUs by integer linear programming[J]. Power Systems, IEEE Transactions on, 2008, 23(3): 1525-1526.
DOI: 10.1109/tpwrs.2008.926723
Google Scholar
[5]
Storn R, Price K: Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of global optimization, 1997, 11(4): 341-359.
DOI: 10.1023/a:1008202821328
Google Scholar
[6]
Gou B: Generalized integer linear programming formulation for optimal PMU placement[J]. Power Systems, IEEE Transactions on, 2008, 23(3): 1099-1104.
DOI: 10.1109/tpwrs.2008.926475
Google Scholar
[7]
Chakrabarti S, Kyriakides E: Optimal placement of phasor measurement units for power system observability[J]. Power Systems, IEEE Transactions on, 2008, 23(3): 1433-1440.
DOI: 10.1109/tpwrs.2008.922621
Google Scholar
[8]
Nuqui R F, Phadke A G: Phasor measurement unit placement techniques for complete and incomplete observability[J]. Power Delivery, IEEE Transactions on, 2005, 20(4): 2381-2388.
DOI: 10.1109/tpwrd.2005.855457
Google Scholar
[9]
Jiang J A, Lin Y H, Yang J Z, et al: An adaptive PMU based fault detection/location technique for transmission lines. II. PMU implementation and performance evaluation[J]. Power Delivery, IEEE Transactions on, 2000, 15(4): 1136-1146.
DOI: 10.1109/61.891494
Google Scholar