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

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 tur...

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Main Authors:	Saxena, Nitin Kumar, Gao, Wenzhong D., Kumar, Ashwani, Mekhilef, Saad, Gupta, Varun
Format:	Article
Published:	John Wiley & Sons 2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.um.edu.my/41460/
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spelling	my.um.eprints.414602023-09-25T02:07:13Z http://eprints.um.edu.my/41460/ Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM Saxena, Nitin Kumar Gao, Wenzhong D. Kumar, Ashwani Mekhilef, Saad Gupta, Varun TK Electrical engineering. Electronics Nuclear engineering 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. John Wiley & Sons 2022-09 Article PeerReviewed Saxena, Nitin Kumar and Gao, Wenzhong D. and Kumar, Ashwani and Mekhilef, Saad and Gupta, Varun (2022) Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM. International Journal of Circuit Theory and Applications, 50 (9). pp. 3231-3250. ISSN 0098-9886, DOI https://doi.org/10.1002/cta.3319 <https://doi.org/10.1002/cta.3319>. 10.1002/cta.3319
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Saxena, Nitin Kumar Gao, Wenzhong D. Kumar, Ashwani Mekhilef, Saad Gupta, Varun Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM
description	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.
format	Article
author	Saxena, Nitin Kumar Gao, Wenzhong D. Kumar, Ashwani Mekhilef, Saad Gupta, Varun
author_facet	Saxena, Nitin Kumar Gao, Wenzhong D. Kumar, Ashwani Mekhilef, Saad Gupta, Varun
author_sort	Saxena, Nitin Kumar
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 & Sons
publishDate	2022
url	http://eprints.um.edu.my/41460/
_version_	1778161675509170176
score	13.211869

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

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