An incremental meter placement method for state estimation considering collinear measurements and high leverage points

Aam, S., Holten, L. and Gjede, O. 1983. Design of the measurement system for state estimation in the Norwegian high-voltage transmission network. Power Apparatus and Systems, IEEE Transactions on PAS-102 December, 3769–3777. Aam S. Holten L. and Gjede O. 1983 Design of the measurement system for state estimation in the Norwegian high-voltage transmission network Power Apparatus and Systems, IEEE Transactions on PAS-102 December 3769 – 3777 Search in Google Scholar

Abood, H. G. and Sreeram, V. 2014. A review on phasor measurement units placement for state estimation studies. Power Engineering Conference (AUPEC), 2014 Australasian Universities, 1–6. Abood H. G. and Sreeram V. 2014 A review on phasor measurement units placement for state estimation studies Power Engineering Conference (AUPEC), 2014 Australasian Universities 1 – 6 Search in Google Scholar

Abood, H. G., Salman, G. A. and Kaittan, A. S. 2019. A regularized approach for solving ill-conditioned state estimation of distribution systems. Elektrotehniski Vestnik 86(3): 137–143. Abood H. G. Salman G. A. and Kaittan A. S. 2019 A regularized approach for solving ill-conditioned state estimation of distribution systems Elektrotehniski Vestnik 86 (3) 137 – 143 Search in Google Scholar

Abood, H. G., Sreeram, V. and Mishra, Y. 2016. Incremental placement of PMUs for enhancing state estimation accuracy. 2016 Australasian Universities Power Engineering Conference (AUPEC), 1–6. Abood H. G. Sreeram V. and Mishra Y. 2016 Incremental placement of PMUs for enhancing state estimation accuracy 2016 Australasian Universities Power Engineering Conference (AUPEC) 1 – 6 Search in Google Scholar

Ahmadi, A. R. and Green, T. C. 2009. Optimal power flow for autonomous regional active network management system. Power & Energy Society General Meeting, 2009. PES’09. IEEE, 1–7. Ahmadi A. R. and Green T. C. 2009 Optimal power flow for autonomous regional active network management system Power & Energy Society General Meeting, 2009. PES’09. IEEE 1 – 7 Search in Google Scholar

Ahmadi, A., Alinejad-Beromi, Y. and Moradi, M. 2011. Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy. Expert Systems with Applications 38: 7263–7269. Ahmadi A. Alinejad-Beromi Y. and Moradi M. 2011 Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy Expert Systems with Applications 38 7263 – 7269 Search in Google Scholar

Aminifar, F., Khodaei, A., Fotuhi-Firuzabad, M. and Shahidehpour, M. 2010. Contingency-constrained PMU placement in power networks. IEEE Transactions on Power Systems 25: 516–523. Aminifar F. Khodaei A. Fotuhi-Firuzabad M. and Shahidehpour M. 2010 Contingency-constrained PMU placement in power networks IEEE Transactions on Power Systems 25 516 – 523 Search in Google Scholar

Bagheri, A. and Midi, H. 2015. Diagnostic plot for the identification of high leverage collinearity-influential observations. SORT 39: 51–70. Bagheri A. and Midi H. 2015 Diagnostic plot for the identification of high leverage collinearity-influential observations SORT 39 51 – 70 Search in Google Scholar

Bagheri, A., Habshah, M. and Imon, R. 2012. A novel collinearity-influential observation diagnostic measure based on a group deletion approach. Communications in Statistics-Simulation and Computation 41: 1379–1396. Bagheri A. Habshah M. and Imon R. 2012 A novel collinearity-influential observation diagnostic measure based on a group deletion approach Communications in Statistics-Simulation and Computation 41 1379 – 1396 Search in Google Scholar

Baldwin, T. L., Mili, L., Boisen, M. B. Jr. and Adapa, R. 1993. Power system observability with minimal phasor measurement placement. IEEE Transactions on Power systems 8 May, 707–715. Baldwin T. L. Mili L. Boisen M. B. Jr. and Adapa R. 1993 Power system observability with minimal phasor measurement placement IEEE Transactions on Power systems 8 May 707 – 715 Search in Google Scholar

Belsley, Q. A., Kuh, E. and Welsch, R. E. (2005), Regression Diagnostic Identifying Influential Data and Sources of Collinearity, Vol. 571, John Wiley & Sons, New York. Belsley Q. A. Kuh E. and Welsch R. E. 2005 , Regression Diagnostic Identifying Influential Data and Sources of Collinearity , Vol. 571 John Wiley & Sons New York Search in Google Scholar

Benedito, R. A. S., Alberto, L. F. C., Bretas, N. G. and London, J. B. A. 2014. Power system state estimation: undetectable bad data. International Transactions on Electrical Energy Systems 24: 91–107. Benedito R. A. S. Alberto L. F. C. Bretas N. G. and London J. B. A. 2014 Power system state estimation: undetectable bad data International Transactions on Electrical Energy Systems 24 91 – 107 Search in Google Scholar

Biswal, G. R. 2016. System reliability optimisation of cooling-cum-condensate-extraction system. Eksploatacjai Niezawodnos´c´  18: 117–122. Biswal G. R. 2016 System reliability optimisation of cooling-cum-condensate-extraction system Eksploatacjai Niezawodnos´c´   18 117 – 122 Search in Google Scholar

Biswal, G. R., Maheshwari, R. P. and Dewal, M. L. 2012. Dynamic process control and monitoring of novel S3RS based hydrogen cooling system. International Journal of Electrical Power & Energy Systems 43(1): 162–172. Biswal G. R. Maheshwari R. P. and Dewal M. L. 2012 Dynamic process control and monitoring of novel S3RS based hydrogen cooling system International Journal of Electrical Power & Energy Systems 43 (1) 162 – 172 Search in Google Scholar

Bretas, N. G., Bretas, A. S. and Piereti, S. A. 2011. Innovation concept for measurement gross error detection and identification in power system state estimation. IET Generation, Transmission & Distribution 5: 603–608. Bretas N. G. Bretas A. S. and Piereti S. A. 2011 Innovation concept for measurement gross error detection and identification in power system state estimation IET Generation, Transmission & Distribution 5 603 – 608 Search in Google Scholar

Celik, M. K. and Liu, W. H. E. 1995. An incremental measurement placement algorithm for state estimation. IEEE Transactions on Power Systems 10: 1698–1703. Celik M. K. and Liu W. H. E. 1995 An incremental measurement placement algorithm for state estimation IEEE Transactions on Power Systems 10 1698 – 1703 Search in Google Scholar

Chakrabarti, S., Kyriakides, E. and Eliades, D. G. 2009. Placement of synchronized measurements for power system observability. IEEE Transactions on Power Delivery 24: 12–19. Chakrabarti S. Kyriakides E. and Eliades D. G. 2009 Placement of synchronized measurements for power system observability IEEE Transactions on Power Delivery 24 12 – 19 Search in Google Scholar

Chakrabarti, S., Kyriakides, E., Ledwich, G. and Ghosh, A. 2010. Inclusion of PMU current phasor measurements in a power system state estimator. Generation, Transmission & Distribution, IET 4: 1104–1115. Chakrabarti S. Kyriakides E. Ledwich G. and Ghosh A. 2010 Inclusion of PMU current phasor measurements in a power system state estimator Generation, Transmission & Distribution, IET 4 1104 – 1115 Search in Google Scholar

Chen, J. and Abur, A. 2006. Placement of PMUs to enable bad data detection in state estimation. IEEE Transactions on Power Systems 21: 1608–1615. Chen J. and Abur A. 2006 Placement of PMUs to enable bad data detection in state estimation IEEE Transactions on Power Systems 21 1608 – 1615 Search in Google Scholar

Christie, R. 2000. Power systems test case archive. Electrical Engineering Department, University of Washington, Washington DC. Christie R. 2000 Power systems test case archive Electrical Engineering Department, University of Washington, Washington DC Search in Google Scholar

Gu, J. W., Clements, K. A., Krumpholz, G. R. and Davis, P. W. 1983. The solution of ill-conditioned power system state estimation problems via the method of Peters And Wilkinson. Power Apparatus and Systems, IEEE Transactions on PAS-102 October, 3473–3480. Gu J. W. Clements K. A. Krumpholz G. R. and Davis P. W. 1983 The solution of ill-conditioned power system state estimation problems via the method of Peters And Wilkinson Power Apparatus and Systems, IEEE Transactions on PAS-102 October 3473 – 3480 Search in Google Scholar

Habshah, M., Norazan, M. R. and Rahmatullah Imon, A. H. M. 2009. The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression. Journal of Applied Statistics 36: 507–520. Habshah M. Norazan M. R. and Rahmatullah Imon A. H. M. 2009 The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression Journal of Applied Statistics 36 507 – 520 Search in Google Scholar

Hadi, A. S. 1992. Identifying multiple outliers in multivariate data. Journal of the Royal Statistical Society. Series B (Methodological) 761–771. Hadi A. S. 1992 Identifying multiple outliers in multivariate data Journal of the Royal Statistical Society. Series B (Methodological) 761 – 771 Search in Google Scholar

Jiang, W. and Vittal, V. 2006. Optimal placement of phasor measurements for the enhancement of state estimation. Power Systems Conference and Exposition, 2006. PSCE ‘06. 2006 IEEE PES, Atlanta, October 29–November 1, 1550–1555. Jiang W. and Vittal V. 2006 Optimal placement of phasor measurements for the enhancement of state estimation Power Systems Conference and Exposition, 2006. PSCE ‘06. 2006 IEEE PES Atlanta October 29–November 1 1550 – 1555 Search in Google Scholar

Liu, J., Ponci, F., Monti, A., Muscas, C., Pegoraro, P.  A. and Sulis, S. 2014. Optimal meter placement for robust measurement systems in active distribution grids. Instrumentation and Measurement, IEEE Transactions on 63 May, 1096–1105. Liu J. Ponci F. Monti A. Muscas C. Pegoraro P.  A. and Sulis S. 2014 Optimal meter placement for robust measurement systems in active distribution grids Instrumentation and Measurement, IEEE Transactions on 63 May 1096 – 1105 Search in Google Scholar

Majumdar, A. and Pal, B. C. 2016. Bad data detection in the context of leverage point attacks in modern power networks. IEEE Transactions on Smart Grid 9(3): 2042–2054. Majumdar A. and Pal B. C. 2016 Bad data detection in the context of leverage point attacks in modern power networks IEEE Transactions on Smart Grid 9 (3) 2042 – 2054 Search in Google Scholar

Manousakis, N.  M., Korres, G.  N. and Georgilakis, P.  S. 2012. Taxonomy of PMU placement methodologies. Power Systems, IEEE Transactions on 27 May, 1070–1077. Manousakis N.  M. Korres G.  N. and Georgilakis P.  S. 2012 Taxonomy of PMU placement methodologies Power Systems, IEEE Transactions on 27 May 1070 – 1077 Search in Google Scholar

Midi, H. and Mohammed, A. M. 2015. The identification of good and bad high leverage points in multiple linear regression model. Mathematical Methods and System in Science and Engineering, 147–158 Midi H. and Mohammed A. M. 2015 The identification of good and bad high leverage points in multiple linear regression model Mathematical Methods and System in Science and Engineering 147 – 158 Search in Google Scholar

Monticelli, A. 2000. Electric power system state estimation. Proc. IEEE 88: 262–282. Monticelli A. 2000 Electric power system state estimation Proc. IEEE 88 262 – 282 Search in Google Scholar

Nurunnabi, A. A. M., Hadi, A. S. and Imon, A. 2014. Procedures for the identification of multiple influential observations in linear regression. Journal of Applied Statistics 41: 1315–1331. Nurunnabi A. A. M. Hadi A. S. and Imon A. 2014 Procedures for the identification of multiple influential observations in linear regression Journal of Applied Statistics 41 1315 – 1331 Search in Google Scholar

Ouaarab, A., Ahiod, B. and Yang, X.-S. 2014. Discrete cuckoo search algorithm for the travelling salesman problem. Neural Computing and Applications 24: 1659–1669. Ouaarab A. Ahiod B. and Yang X.-S. 2014 Discrete cuckoo search algorithm for the travelling salesman problem Neural Computing and Applications 24 1659 – 1669 Search in Google Scholar

Rosli, H. M., Mokhlis, H., Naidu, K., Jamian, J. J. and Bakar, A. H. A. 2014. Improving state estimation accuracy through incremental meter placement using new evolutionary strategy. Arabian Journal for Science and Engineering 39: 7981–7989. Rosli H. M. Mokhlis H. Naidu K. Jamian J. J. and Bakar A. H. A. 2014 Improving state estimation accuracy through incremental meter placement using new evolutionary strategy Arabian Journal for Science and Engineering 39 7981 – 7989 Search in Google Scholar

Rousseeuw, P. J. and Van Zomeren, B. C. 1990. Unmasking multivariate outliers and leverage points. Journal of the American Statistical Association 85: 633–639. Rousseeuw P. J. and Van Zomeren B. C. 1990 Unmasking multivariate outliers and leverage points Journal of the American Statistical Association 85 633 – 639 Search in Google Scholar

Saleh, A. A., Adail, A. S. and Wadoud, A. A. 2017. Optimal phasor measurement units placement for full observability of power system using improved particle swarm optimisation. IET Generation, Transmission & Distribution 11: 1794–1800. Saleh A. A. Adail A. S. and Wadoud A. A. 2017 Optimal phasor measurement units placement for full observability of power system using improved particle swarm optimisation IET Generation, Transmission & Distribution 11 1794 – 1800 Search in Google Scholar

Schweppe, F. C. 1970. Power system static-state estimation, part III: implementation. Power Apparatus and Systems, IEEE Transactions on PAS-89: 130–135. Schweppe F. C. 1970 Power system static-state estimation, part III: implementation Power Apparatus and Systems, IEEE Transactions on PAS-89 130 – 135 Search in Google Scholar

Stewart, G. W. 1987. Collinearity and least squares regression. Statistical Science 68–84. Stewart G. W. 1987 Collinearity and least squares regression Statistical Science 68 – 84 Search in Google Scholar

Xu, B. and Abur, A. 2004. Observability analysis and measurement placement for systems with PMUs. Power Systems Conference and Exposition, IEEE PES, 943–946. Xu B. and Abur A. 2004 Observability analysis and measurement placement for systems with PMUs Power Systems Conference and Exposition, IEEE PES 943 – 946 Search in Google Scholar

Yang, X.-S. and Deb, S. 2013. Multiobjective cuckoo search for design optimization. Computers & Operations Research 40: 1616–1624. Yang X.-S. and Deb S. 2013 Multiobjective cuckoo search for design optimization Computers & Operations Research 40 1616 – 1624 Search in Google Scholar

Zhao, J., Zhang, G. and La Scala, M. 2016. A two-stage robust power system state estimation method with unknown measurement noise. Power and Energy Society General Meeting (PESGM), 2016, 1–5. Zhao J. Zhang G. and La Scala M. 2016 A two-stage robust power system state estimation method with unknown measurement noise Power and Energy Society General Meeting (PESGM), 2016 1 – 5 Search in Google Scholar