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2024 | OriginalPaper | Chapter

1. Introduction

Author : Milton Brown Do Coutto Filho

Published in: Power System State Estimation and Forecasting

Publisher: Springer Nature Switzerland

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Abstract

This chapter presents initially historical references to the electric industry and constructs a connection with power system state estimation (SE). Power network operating modes and their associated controls are characterized. Also, the chapter delineates the main aspects of SE, including the origins of the estimation theory remoting to Gauss’s thoughts, the genesis of SE, the characterization of the power system state of interest, the purposes/advantages, and the modularity of SE (network configuration, measuring system observation capability evaluation, state forecasting, state filtering, and input data validation). The computational implementation of a friendly educational tool for SE named State Estimation Educational (SEE) tool—a free, open-source Web application available at https://​seet.​mbrown.​com.​br/​—is also discussed. This chapter ends with a description of the content of the book’s chapters, which align with SE modules.

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Literature
1.
go back to reference J.D. Glover, T. Overbye, M.S. Sarma, Power System Analysis and Design, 6th edn. (Cengage Learning, Boston, MA, 2017) J.D. Glover, T. Overbye, M.S. Sarma, Power System Analysis and Design, 6th edn. (Cengage Learning, Boston, MA, 2017)
2.
go back to reference T.E. DyLiacco, The adaptive reliability control system. IEEE Trans. Power App. Syst. PAS-86(5), 517–531 (1967)CrossRef T.E. DyLiacco, The adaptive reliability control system. IEEE Trans. Power App. Syst. PAS-86(5), 517–531 (1967)CrossRef
3.
go back to reference L.H. Fink, K. Carlsen, Operating under stress and strain. IEEE Spectr. 15, 48–53 (1978)CrossRef L.H. Fink, K. Carlsen, Operating under stress and strain. IEEE Spectr. 15, 48–53 (1978)CrossRef
4.
go back to reference M.S. Thomas, J.D. MacDonald, Power System SCADA and Smart Grids (CRC Press, Boca Raton, 2015) M.S. Thomas, J.D. MacDonald, Power System SCADA and Smart Grids (CRC Press, Boca Raton, 2015)
5.
go back to reference F.F. Wu, K. Moslehi, A. Bose, Power system control centers: Past, present, and future. IEEE Proc. 93(11), 1890–1908 (2005)CrossRef F.F. Wu, K. Moslehi, A. Bose, Power system control centers: Past, present, and future. IEEE Proc. 93(11), 1890–1908 (2005)CrossRef
6.
go back to reference B.P. Gibbs, Advanced Kalman Filtering, Least-Squares, and Modeling: A Practical Handbook (Wiley, Hoboken, 2011)CrossRef B.P. Gibbs, Advanced Kalman Filtering, Least-Squares, and Modeling: A Practical Handbook (Wiley, Hoboken, 2011)CrossRef
7.
go back to reference H.W. Sorenson, Least-squares estimation: From gauss to Kalman. IEEE Spectr. 7, 63–68 (1970)CrossRef H.W. Sorenson, Least-squares estimation: From gauss to Kalman. IEEE Spectr. 7, 63–68 (1970)CrossRef
8.
go back to reference R.E. Kalman, A new approach to linear filtering and prediction problems. Trans. ASME, Seri. D J. Basic Eng. 82 D, 35–45 (1960)MathSciNetCrossRef R.E. Kalman, A new approach to linear filtering and prediction problems. Trans. ASME, Seri. D J. Basic Eng. 82 D, 35–45 (1960)MathSciNetCrossRef
9.
go back to reference R.E. Kalman, R.S. Bucy, New results in linear filtering and prediction problems. Trans. ASME J. Basic Eng. 83 D, 95–108 (1961)CrossRef R.E. Kalman, R.S. Bucy, New results in linear filtering and prediction problems. Trans. ASME J. Basic Eng. 83 D, 95–108 (1961)CrossRef
10.
go back to reference D. Simon, Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches (Wiley-Interscience, Hoboken, 2006)CrossRef D. Simon, Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches (Wiley-Interscience, Hoboken, 2006)CrossRef
11.
go back to reference M.B.D.C. Filho, A.M.L. da Silva, D.M. Falcão, Bibliography on power system state estimation (1968–1989). IEEE Trans. Power Syst. 5(3), 950–961 (1990)CrossRef M.B.D.C. Filho, A.M.L. da Silva, D.M. Falcão, Bibliography on power system state estimation (1968–1989). IEEE Trans. Power Syst. 5(3), 950–961 (1990)CrossRef
12.
go back to reference M.B.D.C. Filho, J.C.S. de Souza, J.D. Glover, Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements. Int. Trans. Electr. Energy Syst. 29, no. 4, etep. 2779 (2019)CrossRef M.B.D.C. Filho, J.C.S. de Souza, J.D. Glover, Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements. Int. Trans. Electr. Energy Syst. 29, no. 4, etep. 2779 (2019)CrossRef
13.
go back to reference F.C. Schweppe, J. Wildes, D. Rom, Power system static state estimation: Parts I, II, and III. IEEE Trans. Power App. Syst. PAS-89(1), 120–135 (1970)CrossRef F.C. Schweppe, J. Wildes, D. Rom, Power system static state estimation: Parts I, II, and III. IEEE Trans. Power App. Syst. PAS-89(1), 120–135 (1970)CrossRef
14.
go back to reference J.F. Dopazo, O.A. Klitin, G.W. Stagg, L.S. Van Slyck, State calculation of power systems from line flow measurements. IEEE Trans Power App Syst. 89(7), 1698–1708 (1970)CrossRef J.F. Dopazo, O.A. Klitin, G.W. Stagg, L.S. Van Slyck, State calculation of power systems from line flow measurements. IEEE Trans Power App Syst. 89(7), 1698–1708 (1970)CrossRef
15.
go back to reference M. Ilic, J. Zaborszky, Dynamics and Control of Large Electric Systems (John Wiley, New York, 2000) M. Ilic, J. Zaborszky, Dynamics and Control of Large Electric Systems (John Wiley, New York, 2000)
16.
go back to reference IEEE/CIGRE Joint Task Force on Stability Terms and Definitions, P. Kundur (Convener), J. Paserba (Secretary) et al., Definition and classification of power system stability. IEEE Trans. Power Syst. 19(2), 1387–1401 (2004) IEEE/CIGRE Joint Task Force on Stability Terms and Definitions, P. Kundur (Convener), J. Paserba (Secretary) et al., Definition and classification of power system stability. IEEE Trans. Power Syst. 19(2), 1387–1401 (2004)
17.
go back to reference IEEE Task Force on Power System Dynamic State and Parameter Estimation, J. Zhao (Chair), Power system dynamic state estimation: Motivations, definitions, methodologies, and future work. IEEE Trans. Power Syst. 34(4), 3188–3198 (2019)CrossRef IEEE Task Force on Power System Dynamic State and Parameter Estimation, J. Zhao (Chair), Power system dynamic state estimation: Motivations, definitions, methodologies, and future work. IEEE Trans. Power Syst. 34(4), 3188–3198 (2019)CrossRef
18.
go back to reference M.B.D.C. Filho, J.D. Glover, A.M.L. da Silva, State estimators with forecasting capability. Proc. 11th Power Syst. Comput. Conf. (PSCC) II, 689–695, Avignon, France (1993) M.B.D.C. Filho, J.D. Glover, A.M.L. da Silva, State estimators with forecasting capability. Proc. 11th Power Syst. Comput. Conf. (PSCC) II, 689–695, Avignon, France (1993)
19.
go back to reference A.G. Phadke, J.S. Thorp, Synchronized Phasor Measurements and their Applications (Springer, New York, 2008)CrossRef A.G. Phadke, J.S. Thorp, Synchronized Phasor Measurements and their Applications (Springer, New York, 2008)CrossRef
20.
go back to reference W. Thomson, Electrical Units of Measurement. Popular Letters and Addresses (McMillan, London, 1889) W. Thomson, Electrical Units of Measurement. Popular Letters and Addresses (McMillan, London, 1889)
21.
go back to reference F.R. Robertson, W.T. Boston, The utility operational response to the 14 August 2003 blackout. IEEE Power Energy Magaz. 21(3), 43–50 (2023)CrossRef F.R. Robertson, W.T. Boston, The utility operational response to the 14 August 2003 blackout. IEEE Power Energy Magaz. 21(3), 43–50 (2023)CrossRef
22.
go back to reference B. Gou, D. Shue, Advances in algorithms for power system static state estimators: An improved solution for bad data management and state estimator convergence. IEEE Power Energy Magaz. 21(1), 16–25 (2023)CrossRef B. Gou, D. Shue, Advances in algorithms for power system static state estimators: An improved solution for bad data management and state estimator convergence. IEEE Power Energy Magaz. 21(1), 16–25 (2023)CrossRef
23.
go back to reference A. Monticelli, State Estimation in Electric Power Systems: A Generalized Approach (Kluwer Academic Press, Boston, 1999)CrossRef A. Monticelli, State Estimation in Electric Power Systems: A Generalized Approach (Kluwer Academic Press, Boston, 1999)CrossRef
24.
go back to reference A. Abur, A.G. Expósito, Power System State Estimation: Theory and Implementation (Marcel Decker, New York, 2004)CrossRef A. Abur, A.G. Expósito, Power System State Estimation: Theory and Implementation (Marcel Decker, New York, 2004)CrossRef
25.
go back to reference M. Ahmad, Power System State Estimation (Artech House, Norwood, 2013) M. Ahmad, Power System State Estimation (Artech House, Norwood, 2013)
26.
go back to reference F.F. Wu, Power system state estimation: A survey. Electr. Power Energy Syst. 12(1), 80–87 (1990)CrossRef F.F. Wu, Power system state estimation: A survey. Electr. Power Energy Syst. 12(1), 80–87 (1990)CrossRef
27.
go back to reference O. Alsaç, N. Vempati, B. Stott, A. Monticelli, Generalized state estimation. IEEE Trans. Power Syst. 13(3), 1069–1075 (1998)CrossRef O. Alsaç, N. Vempati, B. Stott, A. Monticelli, Generalized state estimation. IEEE Trans. Power Syst. 13(3), 1069–1075 (1998)CrossRef
28.
go back to reference A. Monticelli, Electric power system state estimation. Proc. IEEE 88(2), 262–282 (2000)CrossRef A. Monticelli, Electric power system state estimation. Proc. IEEE 88(2), 262–282 (2000)CrossRef
29.
go back to reference S. Raghuraman, R. Jegatheesan, A survey on state estimation techniques in electrical power system, in Proceedings of the International Conference on Recent Advances in Electrical, Electronic, and Control Engineering, (2011), pp. 199–205 S. Raghuraman, R. Jegatheesan, A survey on state estimation techniques in electrical power system, in Proceedings of the International Conference on Recent Advances in Electrical, Electronic, and Control Engineering, (2011), pp. 199–205
30.
go back to reference Y.F. Huang, S. Werner, J. Huang, N. Kashyap, V. Gupta, State estimation in electrical power grids: meeting new challenges presented by the requirements of the future grid. IEEE Signal Process. Magaz. 29(5), 33–43 (2012)CrossRef Y.F. Huang, S. Werner, J. Huang, N. Kashyap, V. Gupta, State estimation in electrical power grids: meeting new challenges presented by the requirements of the future grid. IEEE Signal Process. Magaz. 29(5), 33–43 (2012)CrossRef
31.
go back to reference D.S. Babu, K. Jamuna, B. Aryanandiny, Power system state estimation—A review. ACEEE Int. J. Electr. Power Eng. 5(1), 10–18 (2014) D.S. Babu, K. Jamuna, B. Aryanandiny, Power system state estimation—A review. ACEEE Int. J. Electr. Power Eng. 5(1), 10–18 (2014)
Metadata
Title
Introduction
Author
Milton Brown Do Coutto Filho
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-63288-4_1