Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems

Stefany Yánez Rojas; Carlos Barrera-Singaña; Paul Muñoz Pilco; Darío  Jaramillo Monje; Wilson Pavón

doi:10.1109/GlobConHT56829.2023.10087445

Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems

Stefany Yánez Rojas
, Carlos Barrera-Singaña
, Paul Muñoz Pilco
, Darío Jaramillo Monje
, Wilson Pavón

Research Group in Smart Electrical Networks (GIREI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.

Original language	English
Title of host publication	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332117
ISBN (Print)	9798350332117
DOIs	https://doi.org/10.1109/GlobConHT56829.2023.10087445
State	Published - 2023
Event	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023

Publication series

Name	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conference

Conference	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/Territory	Maldives
City	Male
Period	11/03/23 → 12/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Electrical Power System
Measurements
Minimum Squares
Power Flows
Status Estimate
Wind Generator

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.1109/GlobConHT56829.2023.10087445

Cite this

Rojas, S. Y., Barrera-Singaña, C., Pilco, P. M., Jaramillo Monje, D., & Pavón, W. (2023). Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobConHT56829.2023.10087445

Rojas, Stefany Yánez ; Barrera-Singaña, Carlos ; Pilco, Paul Muñoz et al. / Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

@inproceedings{238aa9c179d7476a8e5cbf33d15c7c9d,

title = "Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems",

abstract = "Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.",

keywords = "Electrical Power System, Measurements, Minimum Squares, Power Flows, Status Estimate, Wind Generator",

author = "Rojas, \{Stefany Y{\'a}nez\} and Carlos Barrera-Singa{\~n}a and Pilco, \{Paul Mu{\~n}oz\} and \{Jaramillo Monje\}, Dar{\'i}o and Wilson Pav{\'o}n",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 ; Conference date: 11-03-2023 Through 12-03-2023",

year = "2023",

doi = "10.1109/GlobConHT56829.2023.10087445",

language = "English",

isbn = "9798350332117",

series = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

address = "United States",

}

Rojas, SY, Barrera-Singaña, C , Pilco, PM , Jaramillo Monje, D & Pavón, W 2023, Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems. in 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Male, Maldives, 11/03/23. https://doi.org/10.1109/GlobConHT56829.2023.10087445

Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems. / Rojas, Stefany Yánez; Barrera-Singaña, Carlos ; Pilco, Paul Muñoz et al.
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems

AU - Rojas, Stefany Yánez

AU - Barrera-Singaña, Carlos

AU - Pilco, Paul Muñoz

AU - Jaramillo Monje, Darío

AU - Pavón, Wilson

PY - 2023

Y1 - 2023

N2 - Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.

AB - Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.

KW - Electrical Power System

KW - Measurements

KW - Minimum Squares

KW - Power Flows

KW - Status Estimate

KW - Wind Generator

UR - https://www.scopus.com/pages/publications/85153568500

U2 - 10.1109/GlobConHT56829.2023.10087445

DO - 10.1109/GlobConHT56829.2023.10087445

M3 - Conference contribution

AN - SCOPUS:85153568500

SN - 9798350332117

T3 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

BT - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Y2 - 11 March 2023 through 12 March 2023

ER -

Rojas SY, Barrera-Singaña C , Pilco PM , Jaramillo Monje D, Pavón W. Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). doi: 10.1109/GlobConHT56829.2023.10087445

Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

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Cite this