Visualizing power frequency dynamics using D-partitioning

C. Kiravu, K. Yanev, M. T. Oladiran

Research output: Contribution to journalArticle

Abstract

In this paper we introduce D-Partitioning as a convenient direct method for visualizing the performance of power systems subjected to load changes. In Automatic Generation Control (AGC) schemes, such visualizations rely on manual calculations of the system stability limits. D-Partitioning obviates this reliance permitting a direct reading-off of the limits. The method assumes a test power system of known parameters embedding distributed solar power generation. The generated solar power injects discretely variable real power system disturbances. MATLAB/SIMULINK is used to mask the parameters of the system transfer function thus allowing for data entry or changes via a user interface. The system frequency behaviour is analyzed applying traditional methods within MATLAB and MATHEMATICA. Subsequent comparative results are established by applying D-Partitioning. Nyquist stability criterion and step frequency response results show that the system's stability limits cannot be discerned with certainty visually but only manually. In contrast D-Partitioning provides visually clearer stability limits. The paper provides an additional tool for the analysis of power systems described by transfer functions possibly with several variable parameters. The MATLAB User Interface used in the paper limits any flexible variation of the parameters. An improvement will be considered in ongoing studies by applying on the named parameters, MATHEMATICA's dynamic interactivity feature.

Original languageEnglish
Pages (from-to)626-630
Number of pages5
JournalInternational Review of Automatic Control
Volume6
Issue number5
Publication statusPublished - Sep 1 2013

Fingerprint

MATLAB
System stability
User interfaces
Transfer functions
Solar power generation
Real variables
Distributed power generation
Stability criteria
Solar energy
Frequency response
Masks
Data acquisition
Visualization

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

@article{b26385a50351430283821d4bd3ba0d59,
title = "Visualizing power frequency dynamics using D-partitioning",
abstract = "In this paper we introduce D-Partitioning as a convenient direct method for visualizing the performance of power systems subjected to load changes. In Automatic Generation Control (AGC) schemes, such visualizations rely on manual calculations of the system stability limits. D-Partitioning obviates this reliance permitting a direct reading-off of the limits. The method assumes a test power system of known parameters embedding distributed solar power generation. The generated solar power injects discretely variable real power system disturbances. MATLAB/SIMULINK is used to mask the parameters of the system transfer function thus allowing for data entry or changes via a user interface. The system frequency behaviour is analyzed applying traditional methods within MATLAB and MATHEMATICA. Subsequent comparative results are established by applying D-Partitioning. Nyquist stability criterion and step frequency response results show that the system's stability limits cannot be discerned with certainty visually but only manually. In contrast D-Partitioning provides visually clearer stability limits. The paper provides an additional tool for the analysis of power systems described by transfer functions possibly with several variable parameters. The MATLAB User Interface used in the paper limits any flexible variation of the parameters. An improvement will be considered in ongoing studies by applying on the named parameters, MATHEMATICA's dynamic interactivity feature.",
author = "C. Kiravu and K. Yanev and Oladiran, {M. T.}",
year = "2013",
month = "9",
day = "1",
language = "English",
volume = "6",
pages = "626--630",
journal = "International Review of Automatic Control",
issn = "1974-6059",
publisher = "Praise Worthy Prize",
number = "5",

}

Visualizing power frequency dynamics using D-partitioning. / Kiravu, C.; Yanev, K.; Oladiran, M. T.

In: International Review of Automatic Control, Vol. 6, No. 5, 01.09.2013, p. 626-630.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Visualizing power frequency dynamics using D-partitioning

AU - Kiravu, C.

AU - Yanev, K.

AU - Oladiran, M. T.

PY - 2013/9/1

Y1 - 2013/9/1

N2 - In this paper we introduce D-Partitioning as a convenient direct method for visualizing the performance of power systems subjected to load changes. In Automatic Generation Control (AGC) schemes, such visualizations rely on manual calculations of the system stability limits. D-Partitioning obviates this reliance permitting a direct reading-off of the limits. The method assumes a test power system of known parameters embedding distributed solar power generation. The generated solar power injects discretely variable real power system disturbances. MATLAB/SIMULINK is used to mask the parameters of the system transfer function thus allowing for data entry or changes via a user interface. The system frequency behaviour is analyzed applying traditional methods within MATLAB and MATHEMATICA. Subsequent comparative results are established by applying D-Partitioning. Nyquist stability criterion and step frequency response results show that the system's stability limits cannot be discerned with certainty visually but only manually. In contrast D-Partitioning provides visually clearer stability limits. The paper provides an additional tool for the analysis of power systems described by transfer functions possibly with several variable parameters. The MATLAB User Interface used in the paper limits any flexible variation of the parameters. An improvement will be considered in ongoing studies by applying on the named parameters, MATHEMATICA's dynamic interactivity feature.

AB - In this paper we introduce D-Partitioning as a convenient direct method for visualizing the performance of power systems subjected to load changes. In Automatic Generation Control (AGC) schemes, such visualizations rely on manual calculations of the system stability limits. D-Partitioning obviates this reliance permitting a direct reading-off of the limits. The method assumes a test power system of known parameters embedding distributed solar power generation. The generated solar power injects discretely variable real power system disturbances. MATLAB/SIMULINK is used to mask the parameters of the system transfer function thus allowing for data entry or changes via a user interface. The system frequency behaviour is analyzed applying traditional methods within MATLAB and MATHEMATICA. Subsequent comparative results are established by applying D-Partitioning. Nyquist stability criterion and step frequency response results show that the system's stability limits cannot be discerned with certainty visually but only manually. In contrast D-Partitioning provides visually clearer stability limits. The paper provides an additional tool for the analysis of power systems described by transfer functions possibly with several variable parameters. The MATLAB User Interface used in the paper limits any flexible variation of the parameters. An improvement will be considered in ongoing studies by applying on the named parameters, MATHEMATICA's dynamic interactivity feature.

UR - http://www.scopus.com/inward/record.url?scp=84888119518&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84888119518&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84888119518

VL - 6

SP - 626

EP - 630

JO - International Review of Automatic Control

JF - International Review of Automatic Control

SN - 1974-6059

IS - 5

ER -