Teaching learning based optimization for frequency regulation in two area thermal-solar hybrid power system

Mishra, DK; Panigrahi, TK; Mohanty, A; Ray, PK

Teaching learning based optimization for frequency regulation in two area thermal-solar hybrid power system

Mishra, DK Panigrahi, TK Mohanty, A Ray, PK

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Publisher:: SPRINGER INTERNATIONAL PUBLISHING AG
Publication Type:: Chapter
Citation:: Advances in Intelligent Systems and Computing, 2019, 698, pp. 63-71
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Mishra, DK
dc.contributor.author	Panigrahi, TK
dc.contributor.author	Mohanty, A
dc.contributor.author	Ray, PK
dc.contributor.editor	Malik, H
dc.contributor.editor	Srivastava, S
dc.contributor.editor	Sood, YR
dc.contributor.editor	Ahmad, A
dc.date.accessioned	2023-01-04T02:31:35Z
dc.date.available	2023-01-04T02:31:35Z
dc.date.issued	2019-01-01
dc.identifier.citation	Advances in Intelligent Systems and Computing, 2019, 698, pp. 63-71
dc.identifier.isbn	978-981-13-1818-4
dc.identifier.uri	http://hdl.handle.net/10453/164671
dc.description.abstract	This novel work analyses the model of Automatic generation control having two unequal deregulated power system in Lab VIEW platform. Teaching learning based optimization (TLBO) has been implemented for tuning the gains of the PID controller. Further a comparative study has been given in this work with DE-based PID and TLBO-based PID controller. From the Simulation results implementing approaches of DE-optimized PID and TLBO-optimized PID establishes that the performance of TLBO optimization is better in improving the system performance index. The execution of TLBO-PID enhances performance in comparison with PI, PID controller with regards to stability, overshoot, and damping.
dc.language	en
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing
dc.relation.isbasedon	10.1007/978-981-13-1819-1_7
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Teaching learning based optimization for frequency regulation in two area thermal-solar hybrid power system
dc.type	Chapter
utslib.citation.volume	698
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-04T02:31:34Z
pubs.publication-status	Published
pubs.volume	698

Abstract:

This novel work analyses the model of Automatic generation control having two unequal deregulated power system in Lab VIEW platform. Teaching learning based optimization (TLBO) has been implemented for tuning the gains of the PID controller. Further a comparative study has been given in this work with DE-based PID and TLBO-based PID controller. From the Simulation results implementing approaches of DE-optimized PID and TLBO-optimized PID establishes that the performance of TLBO optimization is better in improving the system performance index. The execution of TLBO-PID enhances performance in comparison with PI, PID controller with regards to stability, overshoot, and damping.

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http://hdl.handle.net/10453/164671