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Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties.

Tengpeng Chen1, He Ren1, Gehan A J Amaratunga2

  • 1Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.

Sensors (Basel, Switzerland)
|July 24, 2021
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Summary
This summary is machine-generated.

This study introduces a new interval state estimation model for distribution systems, addressing uncertainties from distributed generations and EVs. The proposed method offers less conservative and more accurate state estimation results.

Keywords:
distributed generationinterval constraint-propagationinterval state estimationmodified Krawczyk-operatormultiple uncertainties

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Area of Science:

  • Electrical Engineering
  • Power Systems Analysis

Background:

  • Distribution system state estimation (DSSE) is crucial for grid management.
  • Existing interval state estimation (ISE) methods are often too conservative due to uncertainties like non-Gaussian noise, inaccurate parameters, and stochastic distributed generations (DG) and plug-in electric vehicles (EV).

Purpose of the Study:

  • To develop a novel ISE model for distribution systems that accurately accounts for multiple uncertainties.
  • To improve the accuracy and reduce the conservativeness of state estimation results in distribution systems.

Main Methods:

  • A new interval state estimation (ISE) model is proposed.
  • A modified Krawczyk-operator (MKO) combined with an interval constraint-propagation (ICP) algorithm is utilized to solve the ISE problem.

Main Results:

  • The proposed algorithm provides tighter upper and lower bounds for state estimation compared to existing methods.
  • Simulations on IEEE 33, 69, and 123-bus systems demonstrate the effectiveness of the new approach.

Conclusions:

  • The developed ISE model and solution algorithm effectively handle uncertainties in distribution systems.
  • The proposed method offers a less conservative and more accurate alternative for distribution system state estimation.