Seyed Mehdi Mirkazemi Niyaragh, Aref Jalil Irani, and Hossein Shayeghi
[1] V. Kekatos, G.B. Giannakis, and B. Wollenberg, Optimal placement of phasor measurement units via convex relaxation, IEEE Transactions on Power Systems, 27(3), 2012, 1521–1530. [2] Q. Li, T. Cui, Y. Weng, R. Negi, F. Franchetti, and M.D. Ilic, An information-theoretic approach to PMU placement in electric power systems, IEEE Transactions on Smart Grid, 4(1), 2013, 446–456. [3] G. Yu, B. Zhang, Z. Bo, H. Xie, and C. Wang, Nonlinear robust control of power system considering wide-area signals’ delay and incompleteness, European Transactions on Electrical Power, 19(3), 2009, 433–446. [4] R. Leelaruji, L. Vanfretti, K. Uhlen, and J.O. Gjerde, Computing sensitivities from synchrophasor data for voltage stability monitoring and visualization, International Transactions on Electrical Energy Systems, 25(6), 2015, 933–947. [5] S. Goleijani, and M.T. Ameli, Neural network-based power system dynamic state estimation using hybrid data from SCADA and phasor measurement units, International Transactions on Electrical Energy Systems, 28(2), 2018, e2481. [6] N.M. Manousakis, and G.N. Korres, A hybrid power system state estimator using synchronized and unsynchronized sensors, International Transactions on Electrical Energy Systems, 28(8), 2018, e2580. [7] O. Gomez, M.A. Rios, and G. Anders, Reliability-based phasor measurement unit placement in power systems considering transmission line outages and channel limits, IET Generation, Transmission & Distribution, 8(1), 2014, 121–130. [8] L. Kumar, and N. Kishore, Wide area monitoring of sustained oscillations using double-stage mode decomposition, International Transactions on Electrical Energy Systems, 28(6), 2018, e2553. [9] K.G. Khajeh, E. Bashar, A.M. Rad, and G.B. Gharehpetian, Integrated model considering effects of zero injection buses and conventional measurements on optimal PMU placement, IEEE Transactions on Smart Grid, 8(2), 2017, 1006–1013. [10] J. Peng, Y. Sun, and H.F. Wang, Optimal PMU placement for full network observability using Tabu search algorithm, International Journal of Electrical Power & Energy Systems, 28(4), 2006, 223–231. [11] R.F. Nuqui, and A.G. Phadke, Phasor measurement unit placement techniques for complete and incomplete observability, IEEE Transactions on Power Delivery, 20(4), 2005, 2381–2388. [12] S. Mousavian, and M.J. Feizollahi, An investment decision model for the optimal placement of phasor measurement units, Expert Systems with Applications, 42(21), 2015, 7276–7284. [13] F. Aminifar, C. Lucas, A. Khodaei, and M. Fotuhi-Firuzabad, Optimal placement of phasor measurement units using immunity genetic algorithm, IEEE Transactions on Power Delivery, 24(3), 2009, 1014–1020. [14] Z.H. Rather, Z. Chen, P. Thøgersen, P. Lund, and B. Kirby, Realistic approach for phasor measurement unit placement: consideration of practical hidden costs, IEEE Transactions on Power Delivery, 30(1), 2015, 3–15. [15] M. Hamian, A. Darvishan, M. Hosseinzadeh, et al., A frame- work to expedite joint energy-reserve payment cost minimization using a custom-designed method based on mixed integer genetic algorithm, Engineering Applications of Artificial Intelligence, 72, 2018, 203–212. [16] V. Basetti, and A.K. Chandel, Optimal PMU placement for power system observability using Taguchi binary bat algorithm, Measurement, 95, 2017, 8–20. [17] Y. Gao, Z. Hu, X. He, and D. Liu, Optimal placement of PMUs in power systems based on improved PSO algorithm, 3rd IEEE Conf. on Industrial Electronics and Applications, Singapore, 2008, 2464-2469. [18] E. Khorram, and M.T. Jelodar, PMU placement considering various arrangements of lines connections at complex buses, International Journal of Electrical Power & Energy Systems, 94, 2018, 97–103. [19] S. Pajic, Power system state estimation and contingency constrained optimal power flow—a numerically robust implementation. Worcester Polytechnic Institute, PhD thesis, 2007.
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