A Medium-/Low-Voltage Joint State Estimator Through Linear Uncertainty Propagation

Mengmeng Cai, Xin Fang, Anthony Florita

Research output: NRELPresentation


Traditionally, distribution system state estimations (DSSE) are challenged by the lack of measurements at both primary and secondary sides of the system. The widely available cable television (CATV) voltage sensors installed in low-voltage (LV) networks bring opportunities to achieve higher quality DSSE covering a broader area of the distribution network. This study proposes a medium-/low-voltage (MV/LV) joint distribution system state estimation approach using the untapped CATV measurements. It aims at addressing the need for system situational awareness at the grid edge while improving the estimation accuracy at both the primary and secondary sides compared to its disjointed counterpart. Linearized measurement functions and boundary condition uncertainty propagation rules are derived to ensure the computational efficiency and accuracy of the joint state estimator. Numerical experiments are conducted on an IEEE test feeder to demonstrate the efficacy of the proposed method and the value of CATV measurements.
Original languageAmerican English
Number of pages7
StatePublished - 2022

Publication series

NamePresented at the IEEE Power and Energy Society (PES) General Meeting, 17-21 July 2022, Denver, Colorado

NREL Publication Number

  • NREL/PR-5D00-83388


  • joint state estimation
  • secondary measurements
  • uncertainty propagation


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