Publication:
Cost of Energy Losses for Distributed Generation Using Hybrid Evolutionary Programming-Firefly Algorithm

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cris.author.scopus-author-id 57391726900
cris.author.scopus-author-id 11639107900
cris.author.scopus-author-id 16833392100
cris.author.scopus-author-id 36559434400
cris.author.scopus-author-id 8620004100
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 49d90754-3bcd-46fd-9892-a377d97c60a6
cris.virtualsource.department 761d6cc3-9560-484f-ab3e-25050d9e7b1c
cris.virtualsource.department e58ef572-ea13-47fb-b032-95db6238cb28
dc.contributor.author Noor Najwa Husnaini Mohammad Husni
dc.contributor.author Siti Rafidah Abdul Rahim
dc.contributor.author Mohd Rafi Adzman
dc.contributor.author Muhamad Hatta Hussain
dc.contributor.author Musirin I.
dc.date.accessioned 2024-09-30T03:12:09Z
dc.date.available 2024-09-30T03:12:09Z
dc.date.issued 2021-12-01
dc.description.abstract The cost of energy losses analysis for distributed generation (DG) is presented in this paper using a Hybrid Evolutionary Programming-Firefly Algorithm (EPFA). The proposed method was created to determine the optimal DG sizing in the distribution system while accounting for the system's energy losses. This study presents an investigation into hybrid optimization techniques for DG capabilities and optimal operating strategies in distribution systems. The objectives of this study were to reduce the cost of energy losses while increasing the voltage profile and minimize distribution system losses. In this study, the analysis was done by consider DG type I which is DG-PV. The suggested methodology was tested using the IEEE 69-bus test system, and the simulation was written in the MATLAB programming language. Power system planners can use appropriate location and sizing from the results obtained for utility planning in terms of economic considerations. From the simulation, the result shows the proposed method can identify the suitable sizing of DG while reduce cost of energy losses and total losses in the system.
dc.identifier.doi 10.1088/1742-6596/2107/1/012049
dc.identifier.scopus 2-s2.0-85122021227
dc.identifier.uri https://hdl.handle.net/20.500.14170/6280
dc.language.iso en
dc.relation.funding Universiti Malaysia Perlis
dc.relation.grantno undefined
dc.relation.ispartof Journal of Physics: Conference Series
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.relation.issn 17426588
dc.rights open access
dc.title Cost of Energy Losses for Distributed Generation Using Hybrid Evolutionary Programming-Firefly Algorithm
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.issue 1
oaire.citation.volume 2107
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Teknologi MARA
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.citation.number 012049
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
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person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57391726900
person.identifier.scopus-author-id 11639107900
person.identifier.scopus-author-id 16833392100
person.identifier.scopus-author-id 36559434400
person.identifier.scopus-author-id 8620004100
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