Publication:
Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading condition

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dc.citedby47
dc.contributor.authorNaderipour A.en_US
dc.contributor.authorAbdul-Malek Z.en_US
dc.contributor.authorNowdeh S.A.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorKalam A.en_US
dc.contributor.authorGuerrero J.M.en_US
dc.contributor.authorid36677578000en_US
dc.contributor.authorid57195728805en_US
dc.contributor.authorid54941092000en_US
dc.contributor.authorid6602912020en_US
dc.contributor.authorid55543249600en_US
dc.contributor.authorid35588010400en_US
dc.date.accessioned2023-05-29T08:10:32Z
dc.date.available2023-05-29T08:10:32Z
dc.date.issued2020
dc.descriptionGenetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduction; standard (reference)en_US
dc.description.abstractThis paper presents a method that uses particle swarm optimization to select the optimal allocation of a combined heat and power system that considers the maximum allowable capacity with the aim of reducing losses, improving the voltage profile and reliability of microgrids considering networks loading condition. Decision variables are optimal location and capacity of the combined heat and power systems. The location and maximum capacity of the combined heat and power system were specified in a way to reduce losses, improve the voltage profile, reliability improvement as energy not supplied reduction and maintain the operating constraints. The method is applied to 84- and 32-bus standard microgrids. Capability of the proposed method is proved in obtained results which demonstrated a significant enhancement in voltage profile and a decrease in power losses and customer's energy not supplied as reliability improvement. Minimum microgrid losses can be achieved with considering these constraints. The power loss, minimum voltage and reliability is improved 43.9%, 3,4% and 80.31% for 84 bus network and 72%, 6.2% and 83.6% for 32 us network, respectively by optimal combined heat and power systems allocation. Also, the superiority of the particle swarm optimization is confirmed in comparison with the genetic algorithm. � 2020 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo117124
dc.identifier.doi10.1016/j.energy.2020.117124
dc.identifier.scopus2-s2.0-85079593988
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079593988&doi=10.1016%2fj.energy.2020.117124&partnerID=40&md5=dd0e0d8e16454f90aad35146c6f5c080
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25532
dc.identifier.volume196
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleEnergy
dc.titleOptimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids considering loading conditionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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