State Estimation of Electrical Power Systems Based on Optimaldeployment of Pmu Considering Contingencies

Giovanny Oswaldo Morocho Catucuago, Diego Francisco Carrion Galarza

Research output: Contribution to journalArticle

Abstract

The present research proposes to design and apply a state estimator algorithm in electrical power systems, applying the Weighted Least Squares methodology, through a process called non-linear hybrid estimator, the same one that uses measurements from PMUs and conventional measurements. in addition, to find the optimal PMU locations respecting the observability and redundancy restrictions for the Electric Power Systems, through mixed integer linear programming, considering the N-1 contingencies in the SEP. The proposed state estimator is adjusted to the measurements obtained, in the presence of contingencies in the SEP. The simulations obtained as a result of the implementation of the hybrid state estimator show that the proposal improves the precision of the estimator and the speed of convergence, considering the minimum error of system measurements and the number of PMUs placed in the Power System, after a contingency occurs, which may be the departure of a PMU or the loss of one of the transmission lines of the SEP.
Translated title of the contributionEstimación de Estado de Sistemas Eléctricos de Potencia Basado en Despliegue Óptimo de Pmu Considerando Contingencias
Original languageEnglish (US)
Pages (from-to)1-17
Number of pages17
JournalRevista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria
Volume38
Issue number38
DOIs
StatePublished - 29 Mar 2022

Keywords

  • Electrical power system
  • Least squares
  • Optimal pmu location
  • Pmu
  • State estimation

CACES Knowledge Areas

  • 317A Electricity and Energy

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