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Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation

Computer programming; Distributed computer systems; Electric power transmission; Electric power transmission networks; Energy resources; Evolutionary algorithms; Optimal systems; Distributed energy resource; Distributed Energy Resources; Distributed generation installation; Evolutionary programming...

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Main Authors:	Kamalrolzaman M.A., Musirin I., Mansor M.H., Salimin R.H., Ismail N.L., Mohamed Kamari N.A.
Other Authors:	58068996200
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
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id	my.uniten.dspace-27040
record_format	dspace
spelling	my.uniten.dspace-270402023-05-29T17:38:55Z Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation Kamalrolzaman M.A. Musirin I. Mansor M.H. Salimin R.H. Ismail N.L. Mohamed Kamari N.A. 58068996200 8620004100 56372667100 25928749500 57190935802 57781285800 Computer programming; Distributed computer systems; Electric power transmission; Electric power transmission networks; Energy resources; Evolutionary algorithms; Optimal systems; Distributed energy resource; Distributed Energy Resources; Distributed generation installation; Evolutionary programming techniques; Fitness; Objective functions; Optimisations; Optimization techniques; Power system networks; Resources allocation; Installation Distributed energy resources (DER) are among important components or additional supplies to an existing power system network. Its installation in an existing power system network will help improve the voltage level in a system, reduce current values through the transmission lines and reduce the total transmission loss. The sizing and locations for the installation of DER or distributed generation (DG) require optimal values. Otherwise, the system will experience either over-compensation or under-compensation phenomena. Thus, a reliable optimization technique is a crucial factor. Several optimization techniques are not reliable enough as they cannot reach optimal solutions and sometimes, they are not accurate. This paper presents a new optimization technique termed Integrated Grasshopper Evolutionary Programming Technique (IGEPT). IGEPT integrates some operators in the grasshopper optimization into the original evolutionary programming (EP). It was validated on the IEEE 30-Bus Reliability Test System (RTS) for voltage maximization effort as the objective function. Several cases were taken into account so as to highlight the robustness of this technique. A comparative study with other techniques is also conducted, which highlights the merit of IGEPT. � 2022 IEEE. Final 2023-05-29T09:38:55Z 2023-05-29T09:38:55Z 2022 Conference Paper 10.1109/PECon54459.2022.9988769 2-s2.0-85146415552 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146415552&doi=10.1109%2fPECon54459.2022.9988769&partnerID=40&md5=1ba8d3e55b01b1b3edf3f29e258ccd30 https://irepository.uniten.edu.my/handle/123456789/27040 316 321 Institute of Electrical and Electronics Engineers Inc. 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	Computer programming; Distributed computer systems; Electric power transmission; Electric power transmission networks; Energy resources; Evolutionary algorithms; Optimal systems; Distributed energy resource; Distributed Energy Resources; Distributed generation installation; Evolutionary programming techniques; Fitness; Objective functions; Optimisations; Optimization techniques; Power system networks; Resources allocation; Installation
author2	58068996200
author_facet	58068996200 Kamalrolzaman M.A. Musirin I. Mansor M.H. Salimin R.H. Ismail N.L. Mohamed Kamari N.A.
format	Conference Paper
author	Kamalrolzaman M.A. Musirin I. Mansor M.H. Salimin R.H. Ismail N.L. Mohamed Kamari N.A.
spellingShingle	Kamalrolzaman M.A. Musirin I. Mansor M.H. Salimin R.H. Ismail N.L. Mohamed Kamari N.A. Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
author_sort	Kamalrolzaman M.A.
title	Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
title_short	Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
title_full	Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
title_fullStr	Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
title_full_unstemmed	Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
title_sort	integrated grasshopper algorithm-evolutionary programming technique for distributed energy resources allocation
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2023
_version_	1806428175802040320
score	13.211869

Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation

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