Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System

Martha N. Acosta; Manuel A. Andrade; Francisco Sanchez; Francisco Gonzalez-Longatt; José Luis Rueda

doi:10.1109/PESGM41954.2020.9282021

Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System

Martha N. Acosta, Manuel A. Andrade, Francisco Sanchez, Francisco Gonzalez-Longatt, José Luis Rueda

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic power system (NPS). The idea of the DSA is to identify main observables features and patterns between these variables. Historical data publicly available has been used in this research paper; pre-processing included evaluating and identify missing data, and it filled by using the linear interpolation. The DSA uses descriptive statistical indicators to obtaining observable features. The dispersion analysis is used to observes how affects the KE to the electrical frequency. The data is grouped by weeks, days and hours, and its correlation coefficient was calculated. A correlation analysis between the KE and the power demand was computed, and the linear regression was used to construct a prediction model.

Original language	English
Title of host publication	2020 IEEE Power & Energy Society General Meeting (PESGM)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	978-1-7281-5508-1
ISBN (Print)	978-1-7281-5509-8
DOIs	https://doi.org/10.1109/PESGM41954.2020.9282021
Publication status	Published - 2020
Event	2020 IEEE Power and Energy Society General Meeting (PESGM) - Montreal, Canada Duration: 2 Aug 2020 → 6 Aug 2020

Conference

Conference	2020 IEEE Power and Energy Society General Meeting (PESGM)
Abbreviated title	PESGM 2020
Country/Territory	Canada
City	Montreal
Period	2/08/20 → 6/08/20

Bibliographical note

Accepted author manuscript

Keywords

Correlation coefficients
Dispersion analysis
Patterns
Power system
Statistical analysis

UN SDGs

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

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10.1109/PESGM41954.2020.9282021

PAPER_KE_Analysis_v5Accepted author manuscript, 605 KB

Cite this

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title = "Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System",

abstract = "This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic power system (NPS). The idea of the DSA is to identify main observables features and patterns between these variables. Historical data publicly available has been used in this research paper; pre-processing included evaluating and identify missing data, and it filled by using the linear interpolation. The DSA uses descriptive statistical indicators to obtaining observable features. The dispersion analysis is used to observes how affects the KE to the electrical frequency. The data is grouped by weeks, days and hours, and its correlation coefficient was calculated. A correlation analysis between the KE and the power demand was computed, and the linear regression was used to construct a prediction model.",

keywords = "Correlation coefficients, Dispersion analysis, Patterns, Power system, Statistical analysis",

author = "Acosta, {Martha N.} and Andrade, {Manuel A.} and Francisco Sanchez and Francisco Gonzalez-Longatt and Rueda, {Jos{\'e} Luis}",

note = "Accepted author manuscript; 2020 IEEE Power and Energy Society General Meeting (PESGM), PESGM 2020 ; Conference date: 02-08-2020 Through 06-08-2020",

year = "2020",

doi = "10.1109/PESGM41954.2020.9282021",

language = "English",

isbn = "978-1-7281-5509-8",

pages = "1--5",

booktitle = "2020 IEEE Power & Energy Society General Meeting (PESGM)",

publisher = "IEEE",

address = "United States",

}

Acosta, MN, Andrade, MA, Sanchez, F, Gonzalez-Longatt, F & Rueda, JL 2020, Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System. in 2020 IEEE Power & Energy Society General Meeting (PESGM)., 9282021, IEEE, pp. 1-5, 2020 IEEE Power and Energy Society General Meeting (PESGM), Montreal, Canada, 2/08/20. https://doi.org/10.1109/PESGM41954.2020.9282021

Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System. / Acosta, Martha N.; Andrade, Manuel A.; Sanchez, Francisco et al.
2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. p. 1-5 9282021.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System

AU - Acosta, Martha N.

AU - Andrade, Manuel A.

AU - Sanchez, Francisco

AU - Gonzalez-Longatt, Francisco

AU - Rueda, José Luis

N1 - Accepted author manuscript

PY - 2020

Y1 - 2020

N2 - This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic power system (NPS). The idea of the DSA is to identify main observables features and patterns between these variables. Historical data publicly available has been used in this research paper; pre-processing included evaluating and identify missing data, and it filled by using the linear interpolation. The DSA uses descriptive statistical indicators to obtaining observable features. The dispersion analysis is used to observes how affects the KE to the electrical frequency. The data is grouped by weeks, days and hours, and its correlation coefficient was calculated. A correlation analysis between the KE and the power demand was computed, and the linear regression was used to construct a prediction model.

AB - This paper presents a descriptive statistical analysis (DSA) of time-series of electro-mechanical quantities related to the frequency control (e.g. kinetic energy (KE), electrical frequency and power demand) of the Nordic power system (NPS). The idea of the DSA is to identify main observables features and patterns between these variables. Historical data publicly available has been used in this research paper; pre-processing included evaluating and identify missing data, and it filled by using the linear interpolation. The DSA uses descriptive statistical indicators to obtaining observable features. The dispersion analysis is used to observes how affects the KE to the electrical frequency. The data is grouped by weeks, days and hours, and its correlation coefficient was calculated. A correlation analysis between the KE and the power demand was computed, and the linear regression was used to construct a prediction model.

KW - Correlation coefficients

KW - Dispersion analysis

KW - Patterns

KW - Power system

KW - Statistical analysis

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U2 - 10.1109/PESGM41954.2020.9282021

DO - 10.1109/PESGM41954.2020.9282021

M3 - Conference contribution

SN - 978-1-7281-5509-8

SP - 1

EP - 5

BT - 2020 IEEE Power & Energy Society General Meeting (PESGM)

PB - IEEE

T2 - 2020 IEEE Power and Energy Society General Meeting (PESGM)

Y2 - 2 August 2020 through 6 August 2020

ER -

Descriptive Statistical Analysis of Frequency control-related variables of Nordic Power System

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

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