Polyakov I.D., Pazderin A.V. A Review on Three-Phase State Estimation Approaches of Distribution Networks

download PDF

Abstract

Recently, more attention has been paid to distribution networks in power industry. They technological infrastructure is improved and the need for modern programs and methods is growing. They should be aimed at improving approaches of distribution network control. In the near future, necessity in state estimation distribution networks can arise because smart grids technologies are introduced in this area and gradually distribution networks are transformed into more complex structures.

The most accepted state estimation approaches for any types of distribution networks are considered in the paper. In view of the differences between distribution networks and transmission grids, the usage of power system three-phase model is proposed for state estimation. A state vector in this task consists of phase parameters. The benefits and drawbacks analysis of three-phase state estimation approaches based on the weighted least squares method is presented. In this method a system state vector consists of currents or voltages written in polar or rectangular forms. The strengths and weaknesses of alternative state estimation methods applying are analyzed. Current distribution network problems are listed in the paper. They can be solved by making use of state estimation algorithms and other methods based on them. Furthermore, different approaches for network observability analysis of three-phase model, topology errors processing and bad data identification in a measurement vector are discussed.

Keywords

State estimation, distribution networks, three-phase state estimation, three-phase model of power system, three-phase measurements, network observability analysis of three-phase model, bad data identification, topology error processing in three-phase model, weighted least squares method, smart grids.

Ilya D. Polyakov

Postgraduate Student, the Automated electrical systems department, Ural Federal University named after the first President of Russia B.N.Yeltsin, Ekaterinburg, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0002-0983-7021

Andrey V. Pazderin

Ph.D. (Eng.), the Head of the Automated electrical systems department, Ural Federal University named after the first President of Russia B.N.Yeltsin, Ekaterinburg, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID: https://orcid.org/0000-0003-4826-2387

1. B. Hayes and M. Prodanovic, “State Estimation Techniques for Electric Power Distribution Systems”, in 2014 European Modelling Symposium, 2014, pp. 303–308.

2. M. Pau, P.A. Pegoraro, and S. Sulis, “Performance of three-phase WLS Distribution System State Estimation approaches”, in 2015 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), 2015, pp. 138–143.

3. J. Chen, Y. Dong, and H. Zhang, “Distribution system state estimation: A survey of some relevant work”, in 2016 35th Chinese Control Conference (CCC), 2016, pp. 9985–9989.

4. M. Pau, P.A. Pegoraro, and S. Sulis, “Branch current state estimator for distribution system based on synchronized measurements”, in 2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) Proceedings, 2012, pp. 1–6.

5. D.A. Haughton and G.T. Heydt, “A Linear State Estimation Formulation for Smart Distribution Systems”, IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1187–1195, May 2013.

6. A. Primadianto and C.N. Lu, “A Review on Distribution System State Estimation”, IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3875–3883, Sep. 2017.

7. U. Kuhar, J. Jurše, K. Alič, G. Kandus, and A. Švigelj, “A unified three-phase branch model for a distribution-system state estimation”, in 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016, pp. 1–6.

8. Z. Zhang, M. Liu, and S. Xiao, “A Survey on State Estimation Algorithm of Distribution Grid”, in 2012 Spring Congress on Engineering and Technology, 2012, pp. 1–4.

9. M. Baran and T.E. McDermott, “State estimation for real time monitoring of distribution feeders”, in 2009 IEEE Power Energy Society General Meeting, 2009, pp. 1–4.

10. M. Baran and T.E. McDermott, “Distribution system state estimation using AMI data”, in 2009 IEEE/PES Power Systems Conference and Exposition, 2009, pp. 1–3.

11. I. Roytelman and S.M. Shahidehpour, “State estimation for electric power distribution systems in quasi real-time conditions”, IEEE Transactions on Power Delivery, vol. 8, no. 4, pp. 2009–2015, Oct. 1993.

12. I. Džafić, M. Gilles, R.A. Jabr, B.C. Pal, and S. Henselmeyer, “Real Time Estimation of Loads in Radial and Unsymmetrical Three-Phase Distribution Networks”, IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4839–4848, Nov. 2013.

13. R. Hoffman, “Practical state estimation for electric distribution networks”, in Proc. Power Syst. Conf. Exp., Atlanta, GA, USA, 2006, pp. 510–517.

14. Gamm A.Z. Statisticheskie metody otcenivaniia sostoianiia elektroenergeticheskikh sistem. Moscow: Nauka, 1976. 220 p. (In Russian)

15. Gamm A.Z., Golub I.I. Nabliudaemost elektroenergeticheskikh sistem. Moscow: Nauka, 1990. 200 p. (In Russian)

16. A. Abur, A. Gomez-Exposito, “Power System State Estimation: Theory and Implementation”, New-York: Marcel Dekker, 2004, 327 p.

17. C. W. Hansen and A. S. Debs, “Power system state estimation using three-phase models”, IEEE Transactions on Power Systems, vol. 10, no. 2, pp. 818–824, May 1995.

18. M.-S. Chen and T.-H. Chen, “Application of three-phase load flow to power system distribution automation”, in 1991 International Conference on Advances in Power System Control, Operation and Management, APSCOM-91., 1991, pp. 472–478 vol. 2.

19. S. Zhong and A. Abur, “Effects of nontransposed lines and unbalanced loads on state estimation”, in Power Engineering Society Winter Meeting, vol. 2, Jan. 2002, pp. 975–979.

20. P. Chusovitin, I. Polyakov, and A. Pazderin, “Three-phase state estimation model for distribution grids”, in 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016, pp. 1–5.

21. A.P.S. Meliopoulos and F. Zhang, “Multiphase power flow and state estimation for power distribution systems”, IEEE Transactions on Power Systems, vol. 11, no. 2, pp. 939–946, May 1996.

22. A.K. Ghosh, D.L. Lubkeman, M.J. Downey, and R.H. Jones, “Distribution circuit state estimation using a probabilistic approach”, IEEE Transactions on Power Systems, vol. 12, no. 1, pp. 45–51, Feb. 1997.

23. N. Blaauwbroek, P. Nguyen, M. Gibescu, and H. Slootweg, “Branch current state estimation of three phase distribution networks suitable for paralellization”, in 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016, pp. 1–5.

24. M.E. Baran and A.W. Kelley, “State estimation for real-time monitoring of distribution systems”, IEEE Transactions on Power Systems, vol. 9, no. 3, pp. 1601–1609, Aug. 1994.

25. W.-M. Lin and J.-H. Teng, “State estimation for distribution systems with zero-injection constraints”, IEEE Transactions on Power Systems, vol. 11, no. 1, pp. 518–524, Feb. 1996.

26. D. Thukaram, J. Jerome, and C. Surapong, “A robust three-phase state estimation algorithm for distribution networks”, Electric Power Systems Research, vol. 55, no. 3, pp. 191–200, 2000.

27. W.-M. Lin, J.-H. Teng, and S.-J. Chen, “A highly efficient algorithm in treating current measurements for the branch-current-based distribution state estimation”, IEEE Transactions on Power Delivery, vol. 16, no. 3, pp. 433–439, Jul. 2001.

28. W.M. Lin and J.H. Teng, “Distribution fast decoupled state estimation by measurement pairing”, Transmission and Distribution IEE Proceedings - Generation, vol. 143, no. 1, pp. 43–48, Jan. 1996.

29. Y. Gao and N. Yu, “State estimation for unbalanced electric power distribution systems using AMI data”, in 2017 IEEE Power Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2017, pp. 1–5.

30. J.H. Teng, “Using voltage measurements to improve the results of branch-current-based state estimators for distribution systems”, Transmission and Distribution IEE Proceedings - Generation, vol. 149, no. 6, pp. 667–672, Nov. 2002.

31. M.E. Baran and A.W. Kelley, “A branch-current-based state estimation method for distribution systems”, IEEE Transactions on Power Systems, vol. 10, no. 1, pp. 483–491, Feb. 1995.

32. M. Pau, P.A. Pegoraro, and S. Sulis, “Efficient Branch-Current-Based Distribution System State Estimation Including Synchronized Measurements”, IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 9, pp. 2419–2429, Sep. 2013.

33. S. Sarri, M. Paolone, R. Cherkaoui, A. Borghetti, F. Napolitano, and C.A. Nucci, “State estimation of Active Distribution Networks: Comparison between WLS and iterated kalman-filter algorithm integrating PMUs”, in 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2012, pp. 1–8.

34. C.N. Lu, J.H. Teng, and W.H.E. Liu, “Distribution system state estimation”, IEEE Transactions on Power Systems, vol. 10, no. 1, pp. 229–240, Feb. 1995.

35. A. Majumdar and B.C. Pal, “A three-phase state estimation in unbalanced distribution networks with switch modelling”, 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, 2016, pp. 474–478.

36. K. Li, “State estimation for power distribution system and measurement impacts”, IEEE Transactions on Power Systems, vol. 11, no. 2, pp. 911–916, May 1996.

37. H. Wang and N.N. Schulz, “A revised branch current-based distribution system state estimation algorithm and meter placement impact”, IEEE Transactions on Power Systems, vol. 19, no. 1, pp. 207–213, Feb. 2004.

38. R. Lukomski, T. Okon, and K. Wilkosz, “Power System Modelling”, Wroclaw Univercity of technology: Wroclaw, 2011, 252 p.

39. M.E. Baran, J. Jung, and T. E. McDermott, “Including voltage measurements in branch current state estimation for distribution systems”, in 2009 IEEE Power Energy Society General Meeting, 2009, pp. 1–5.

40. F. Magnago, L. Zhang, and R. Nagarkar, “Three phase distribution state estimation utilizing common information model”, in 2015 IEEE Eindhoven PowerTech, 2015, pp. 1–6.

41. Boloev E.V., Golub I.I., Fedchishin V.V. Otcenivanie sostoiania raspredelitelnoi seti nizkogo napriazheniia po izmereniiam intellektualnykh schetchikov. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta, 2018, no. 2, pp. 95-106. (In Russian)

42. P. Chusovitin, I. Polyakov, O. Malozemova and A. Pazderin, “The usage of parallel calculations in state estimation algorithms”, in 2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE), 2017, pp. 1–5.

43. M. Pau, P.A. Pegoraro, and S. Sulis, “WLS distribution system state estimator based on voltages or branch-currents: Accuracy and performance comparison”, in 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013, pp. 493–498.

44. M.E. Baran, J. Jung, and T.E. McDermott, “Topology error identification using branch current state estimation for distribution systems”, in 2009 Transmission Distribution Conference Exposition: Asia and Pacific, 2009, pp. 1–4.

45. V. Zamani and M. Baran, “Topology processing in distribution systems by Branch Current based state estimation”, in 2015 North American Power Symposium (NAPS), 2015, pp. 1–5.

Details
Hits: 1369