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

has been cited by the following article:

• TITLE: Review of Trends in State Estimation of Power Distribution Networks

  AUTHORS: Jiawei Zhu, Bhuvana Ramachandran

  KEYWORDS: Distribution Network, State Estimation, Weighted Least Square

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.8 No.8, August 25, 2020

  ABSTRACT: 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.