Distribution network state
estimation provided complete and reliable information for the distribution
management system (DMS) and was a prerequisite for other advanced management
and control applications in the power distribution network. This paper first
introduced the basic principles of the state estimation algorithm and sorted
out the research status of the distribution network state estimation from least
squares, gross error resistance etc. Finally,
this paper summarized the key problems faced by the high-dimensional multi-power flow active distribution network state estimation and discussed
prospects for future research hotspots and developments.
References
[1]
Kersting, W.H. (2012) Distribution System Modeling and Analysis. CRC Press, Boca Raton. https://doi.org/10.1201/b12056-31
[2]
Yu, E. (1985) Power System State Estimation. Hydraulic and Electric Power Press, Beijing.
[3]
Li, K. (1996) State Estimation for Power Distribution System and Measurement Impacts. IEEE Transactions on Power Systems, 11, 911-916. https://doi.org/10.1109/TPWRS.2009.2016599
[4]
Hansen, C.W. and Debs, A.S. (1995) Power System State Estimation Using Three-Phase Models. IEEE Transactions on Power Systems, 10, 818-824. https://doi.org/10.1109/59.387922
[5]
Falcao, D.M., Wu, F.F. and Murphy, L. (1995) Parallel and Distributed State Estimation. IEEE Transactions on Power Systems, 10, 724-730. https://doi.org/10.1109/59.387909
[6]
Wei, Z., Gu, C., Ju, P. and Gong, B. (2000) A Three-Phase Radial Distribution System State Estimation Algorithm. Proceedings of the CSEE, 20, 84-87.
[7]
Baran, M.E. and Kelley, A.W. (1994) State Estimation for Real-Time Monitoring of Distribution Systems. IEEE Transactions on Power Systems, 9, 1601-1609. https://doi.org/10.1109/59.336098
[8]
Wang, G., Giannakis, G.B. and Chen, J. (2019) Robust and Scalable Power System State Estimation via Composite Optimization. IEEE Transactions on Smart Grid, 10, 6137-6147. https://doi.org/10.1109/TSG.2019.2897100
[9]
Baran, M.E. and Kelley, A.W. (1995) A Branch-Current-Based State Estimation Method for Distribution Systems. IEEE Transactions on Power Systems, 10, 483-491. https://doi.org/10.1109/59.373974
[10]
Pau, M., Pegoraro, P.A., Monti, A., Muscas, C., Ponci, F. and Sulis, S. (2018) Impact of Current and Power Measurements on Distribution System State Estimation Uncertainty. IEEE Transactions on Instrumentation and Measurement, 68, 3992-4002. https://doi.org/10.1109/TIM.2018.2883844
[11]
Majidi, M., Etezadi-Amoli, M. and Livani, H. (2017) Distribution System State Estimation Using Compressive Sensing. International Journal of Electrical Power & Energy Systems, 88, 175-186. https://doi.org/10.1016/j.ijepes.2016.12.016
[12]
Wang, G., Giannakis, G.B., Chen, J. and Sun, J. (2019) Distribution System State Estimation: An Overview of Recent Developments. Frontiers of Information Technology & Electronic Engineering, 20, 4-17. https://doi.org/10.1631/FITEE.1800590
[13]
Huber, P.J. (1992) Robust Estimation of a Location Parameter. In: Breakthroughs in Statistics, Springer, New York, 492-518. https://doi.org/10.1007/978-1-4612-4380-9_35
[14]
Merrill, H.M. and Schweppe, F.C. (1971) Bad Data Suppression in Power System Static State Estimation. IEEE Transactions on Power Apparatus and Systems, PAS-90, 2718-2725. https://doi.org/10.1109/TPAS.1971.292925
[15]
Hampel, F.R., Ronchetti, E.M., Rousseeuw, P.J. and Stahel, W.A. (2011) Robust Statistics: The Approach Based on Influence Functions (Vol. 196). John Wiley & Sons, Hoboken.
[16]
Handschin, E., Schweppe, F.C., Kohlas, J. and Fiechter, A.A.F.A. (1975) Bad Data Analysis for Power System State Estimation. IEEE Transactions on Power Apparatus and Systems, 94, 329-337. https://doi.org/10.1109/T-PAS.1975.31858
[17]
Zhao, J., Wang, S., Mili, L., Amidan, B., Huang, R. and Huang, Z. (2018) A Robust State Estimation Framework considering Measurement Correlations and Imperfect Synchronization. IEEE Transactions on Power Systems, 33, 4604-4613. https://doi.org/10.1109/TPWRS.2018.2790390
[18]
Lin, Y. and Abur, A. (2018) Robust State Estimation against Measurement and Network Parameter Errors. IEEE Transactions on Power Systems, 33, 4751-4759. https://doi.org/10.1109/TPWRS.2018.2794331
[19]
Qin, S. (2016) The Research and Application of Robust State Estimation on Distribution Base on Exponential Function. Master’s Thesis, Hunan University, Changsha.
[20]
Zang, H., Geng, M., Xue, M., Mao, X., Huang, M., Chen, S., Sun, G., et al. (2019) A Robust State Estimator for Integrated Electrical and Heating Networks. IEEE Access, 7, 109990-110001. https://doi.org/10.1109/ACCESS.2019.2933525
[21]
Ho, W.K., Chen, T., Ling, K.V. and Sun, L. (2017) Variance Analysis of Robust State Estimation in Power System Using Influence Function. International Journal of Electrical Power & Energy Systems, 92, 53-62. https://doi.org/10.1016/j.ijepes.2017.04.009
[22]
Zhao, J., Netto, M. and Mili, L. (2016) A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation. IEEE Transactions on Power Systems, 32, 3205-3216. https://doi.org/10.1109/TPWRS.2016.2628344
[23]
Karimipour, H. and Dinavahi, V. (2017) Robust Massively Parallel Dynamic State Estimation of Power Systems against Cyber-Attack. IEEE Access, 6, 2984-2995. https://doi.org/10.1109/ACCESS.2017.2786584
[24]
Xing, R. and Kewen, W. (2019) Automatic Partition for Distributed and Robust State Estimation of Distribution Network. Electrical Measurement & Instrumentation, No. 1, 12.
[25]
Zheng, W., Wu, W., Shi, X., Zhang, B. and Yang, J. (2016) A Robust Bilinear Three-Phase State Estimation Method for Power Systems. 2016 IEEE Power and Energy Society General Meeting, Boston, 17-21 July 2016, 1-4. https://doi.org/10.1109/PESGM.2016.7741284
[26]
Wang, X., Zhao, J., Terzija, V. and Wang, S. (2020) Fast Robust Power System Dynamic State Estimation Using Model Transformation. International Journal of Electrical Power & Energy Systems, 114, Article ID: 105390. https://doi.org/10.1016/j.ijepes.2019.105390
[27]
Ullah, Z., Elkadeem, M.R., Wang, S. and Radosavljević, J. (2020) A Novel PSOS-CGSA Method for State Estimation in Unbalanced DG-Integrated Distribution Systems. IEEE Access, 8, 113219-113229. https://doi.org/10.1109/ACCESS.2020.3003521
[28]
Gu, W., Lou, G., Tan, W. and Yuan, X. (2017) A Nonlinear State Estimator-Based Decentralized Secondary Voltage Control Scheme for Autonomous Microgrids. IEEE Transactions on Power Systems, 32, 4794-4804. https://doi.org/10.1109/TPWRS.2017.2676181
[29]
Chen, S., Wei, Z., Sun, G., Lu, N., Sun, Y. and Zhu, Y. (2017) Multi-Area Distributed Three-Phase State Estimation for Unbalanced Active Distribution Networks. Journal of Modern Power Systems and Clean Energy, 5, 767-776. https://doi.org/10.1007/s40565-016-0237-0
[30]
Dehghanpour, K., Wang, Z., Wang, J., Yuan, Y. and Bu, F. (2018) A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems. IEEE Transactions on Smart Grid, 10, 2312-2322. https://doi.org/10.1109/TSG.2018.2870600
[31]
Wei, Z., Chen, S., Sun, G., Wang, D. and Sun, Y. (2015) Distributed Three-Phase State Estimation for Active Distribution Network Integrated with Different Types of Distributed Generators. Automation of Electric Power Systems, 39, 68-74.
[32]
Valverde, G., Saric, A.T. and Terzija, V. (2012) Stochastic Monitoring of Distribution Networks Including Correlated Input Variables. IEEE Transactions on Power Systems, 28, 246-255. https://doi.org/10.1109/TPWRS.2012.2201178
[33]
Chen, X., Lin, J. and Song, Y. (2014) A Circuit Representing Method for State Estimation Errors in Distribution Networks. Proceedings of the CSEE, 34, 4839-4846.
[34]
Sarri, S., Zanni, L., Popovic, M., Le Boudec, J.Y. and Paolone, M. (2016) Performance Assessment of Linear State Estimators Using Synchrophasor Measurements. IEEE Transactions on Instrumentation and Measurement, 65, 535-548. https://doi.org/10.1109/TIM.2015.2510598
[35]
Liu, J., Ponci, F., Monti, A., Muscas, C., Pegoraro, P.A. and Sulis, S. (2013) Optimal Placement for Robust Distributed Measurement Systems in Active Distribution Grids. 2013 IEEE International Instrumentation and Measurement Technology Conference, Minneapolis, 6-9 May 2013, 206-211. https://doi.org/10.1109/I2MTC.2013.6555410
[36]
Wang, H., Zhang, W. and Feng, Z. (2016) Robust Measurement Placement Method for Distribution Systems Considering Fault Reconfiguration. Automation of Electric Power Systems, 40, 98-104.