Distribution State Estimation and Its Impact of Load Modeling

Authors

  • M. Laskhmi Swarupa Department of Electrical and Electronics Engineering, CVR College of Engineering, Ibrahimpatnam. Hyderabad, India
  • V. Ganesh Kumar Department of Electrical and Electronics Engineering, Malla Reddy Engineering College, Maisammaguda, Secunderabad, Telangana State, India
  • K. Sree Latha Department of Electrical and Electronics Engineering, St. Peters Engineering College, Secunderabad, Telangana State, India
  • Manam Ravindra Department of Electrical and Electronics Engineering, Aditya College of Engineering, Surampalem, India https://orcid.org/0000-0002-3244-1666
  • B. Praveen Kumar Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad, India https://orcid.org/0000-0003-1561-1376

DOI:

https://doi.org/10.37256/cm.5120242696

Keywords:

distribution network, distribution state estimation, backward-forward sweep load flow, load modeling, composite load model

Abstract

To maintain system security and other essential parameters like reliability and quality, continuous monitoring of the system is very important. Considering the distribution network, state estimation (SE) methods can be adopted. The purpose of the method is to identify and estimate unknown variables based on the online measurements of test data. The primary objectives considered in this paper are: To choose the exact SE method and the artificial neural network (back propagation algorithm), which can be used for determination in the islanding mode of distribution network states, the composite load model is considered for the estimation of states and further enhancement. By adopting the system, state variables in terms of error are measured in the 12-bus distribution network with precise measurements and compared with practical values. The SE proposed includes results with the load flow backward-forward sweep method to satisfy the system state variables. Numerical results indicate that the model performs better for error measurement data with states and in the case of state forecasting.

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Published

2024-02-05

How to Cite

1.
Laskhmi Swarupa M, Ganesh Kumar V, Sree Latha K, Ravindra M, Kumar BP. Distribution State Estimation and Its Impact of Load Modeling. Contemp. Math. [Internet]. 2024 Feb. 5 [cited 2024 Feb. 27];5(1):527-45. Available from: https://ojs.wiserpub.com/index.php/CM/article/view/2696