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Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

Asynchronous generators; Controllers; Distributed power generation; Electric current regulators; Electric power transmission networks; Errors; Flexible AC transmission systems; Frequency response; Genetic algorithms; IEEE Standards; Iterative methods; MATLAB; Power control; Reactive power; Static sy...

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Main Authors: Saxena N.K., Gao W.D., Kumar A., Mekhilef S., Gupta V.
Other Authors: 7203071101
Format: Article
Published: John Wiley and Sons Ltd 2023
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spelling my.uniten.dspace-267772023-05-29T17:36:38Z Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM Saxena N.K. Gao W.D. Kumar A. Mekhilef S. Gupta V. 7203071101 7402758471 57221102815 57928298500 57212178205 Asynchronous generators; Controllers; Distributed power generation; Electric current regulators; Electric power transmission networks; Errors; Flexible AC transmission systems; Frequency response; Genetic algorithms; IEEE Standards; Iterative methods; MATLAB; Power control; Reactive power; Static synchronous compensators; Classical methods; Compensator current; Current controller; Distributed generators; Frequency regulations; Genetic algorithm and particle swarm optimizations; Microgrid; Power load; Squirrel cage induction generators; Static synchronoi compensator; Particle swarm optimization (PSO) This paper presents the genetic algorithm (GA) and particle swarm optimization (PSO) based frequency regulation for a wind-based microgrid (MG) using reactive power balance loop. MG, operating from squirrel cage induction generator (SCIG), is employed for exporting the electrical power from wind turbines, and it needs reactive power which may be imported from the grid. Additional reactive power is also required from the grid for the load, directly coupled with such a distributed generator (DG) plant. However, guidelines issued by electric authorities encourage MGs to arrange their own reactive power because such reactive power procurement is defined as a local area problem for power system studies. Despite the higher cost of compensation, static synchronous compensator (STATCOM) is a fast-acting FACTs device for attending to these reactive power mismatches. Reactive power control can be achieved by controlling reactive current through the STATCOM. This can be achieved with modification in current controller scheme of STATCOM. STATCOM current controller is designed with reactive power load balance for the proposed microgrid in this paper. Further, gain values of the PI controller, required in the STATCOM model, are selected first with classical methods. In this classical method, iterative procedures which are based on integral square error (ISE), integral absolute error (IAE), and integral square of time error (ISTE) criteria are developed using MATLAB programs. System performances are further investigated with GA and PSO based control techniques and their acceptability over classical methods is diagnosed. Results in terms of converter frequency deviation show how the frequency remains under the operating boundaries as allowed by IEEE standards 1159:1995 and 1250:2011 for integrating renewable-based microgrid with grid. Real and reactive power management and load current total harmonic distortions verify the STATCOM performance in MG. The results are further validated with the help of recent papers in which frequency regulation is investigated for almost similar power system models. The compendium for this work is as following: (i) modelling of wind generator-based microgrid using MATLAB simulink library, (ii) designing of STATCOM current controller with PI controller, (iii) gain constants estimation using classical, GA and PSO algorithm through a developed m codes and their interfacing with proposed simulink model, (v) dynamic frequency responses for proposed grid connected microgrid during starting and load perturbations, (vi) verification of system performance with the help of obtained real and reactive power management between STATCOM and grid, and (vii) validation of results with available literature. � 2022 John Wiley & Sons Ltd. Final 2023-05-29T09:36:38Z 2023-05-29T09:36:38Z 2022 Article 10.1002/cta.3319 2-s2.0-85130325707 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130325707&doi=10.1002%2fcta.3319&partnerID=40&md5=fd216200d9376ef5dc1f36aa38266d78 https://irepository.uniten.edu.my/handle/123456789/26777 50 9 3231 3250 John Wiley and Sons Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Asynchronous generators; Controllers; Distributed power generation; Electric current regulators; Electric power transmission networks; Errors; Flexible AC transmission systems; Frequency response; Genetic algorithms; IEEE Standards; Iterative methods; MATLAB; Power control; Reactive power; Static synchronous compensators; Classical methods; Compensator current; Current controller; Distributed generators; Frequency regulations; Genetic algorithm and particle swarm optimizations; Microgrid; Power load; Squirrel cage induction generators; Static synchronoi compensator; Particle swarm optimization (PSO)
author2 7203071101
author_facet 7203071101
Saxena N.K.
Gao W.D.
Kumar A.
Mekhilef S.
Gupta V.
format Article
author Saxena N.K.
Gao W.D.
Kumar A.
Mekhilef S.
Gupta V.
spellingShingle Saxena N.K.
Gao W.D.
Kumar A.
Mekhilef S.
Gupta V.
Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
author_sort Saxena N.K.
title Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
title_short Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
title_full Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
title_fullStr Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
title_full_unstemmed Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
title_sort frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned statcom
publisher John Wiley and Sons Ltd
publishDate 2023
_version_ 1806427348329824256
score 13.214268

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