The penetration of pollutant productions on dynamic generated power operations optimized using a novel evolutionary algorithm

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Afandi, A. N.
dc.contributor.author Sulistyorini, Yunis
dc.contributor.author EL-Shimy, M.
dc.contributor.author Gao, X. Z.
dc.contributor.author Fujita, Goro
dc.contributor.author Miyauchi, Hajime
dc.date.accessioned 2018-02-09T09:55:07Z
dc.date.available 2018-02-09T09:55:07Z
dc.date.issued 2017
dc.identifier.citation Afandi , A N , Sulistyorini , Y , EL-Shimy , M , Gao , X Z , Fujita , G & Miyauchi , H 2017 , ' The penetration of pollutant productions on dynamic generated power operations optimized using a novel evolutionary algorithm ' International Journal on Advanced Science, Engineering and Information Technology , vol 7 , no. 5 , pp. 1825-1831 . DOI: 10.18517/ijaseit.7.5.1635 en
dc.identifier.issn 2088-5334
dc.identifier.issn 2460-6952
dc.identifier.other PURE UUID: 3240415d-d224-4eb9-85e6-c22924c3ffde
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/the-penetration-of-pollutant-productions-on-dynamic-generated-power-operations-optimized-using-a-novel-evolutionary-algorithm(3240415d-d224-4eb9-85e6-c22924c3ffde).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85032658885&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/16194459/Gao_et_al_IJASEIT.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29772
dc.description.abstract At Present, the environmental protection penetrates public awareness to decrease atmospheric emissions as important efforts for increasing living quality in air from various gaseous effects. Technically, it has forced industrial sectors to control pollutant productions while operating machineries of engineering processes to keep all contaminant materials. This condition has also forced the power system operation to modify operational strategies of thermal power plants considered pollutant productions from combustions of fossil fuels for reducing emissions. This paper demonstrates new approaches for measuring pollutant penetrations embedded in the single priority function considered an emission standard, a dynamic penalty factor, and Thunderstorm Algorithm (TA). By considering the IEEE 62-bus system model, results obtained show that the hourly computation has different performances for the 24 hours operation. It also indicates that pollutant discharges are dominated gradually by higher contributors associated with scheduled power plants. The convergence speed of TA is smooth and fast for determining the optimal solution, which are ranged in 6-20 for the cycle and 1.8-3.8 s for the time consumption. Moreover, the 24 hours operation is powered totally in 60,826.10 MW for feeding the total load of 56,820.50 MW. This operation also spends in 291,870.60 $ for the fuel procurement and 83,233.70 $ for the compensation of the pollutant production during existing 19 generating units. In total, the accumulation of pollutant discharges from 19 power plants is 68,012.20 kg. en
dc.format.extent 7
dc.format.extent 1825-1831
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries International Journal on Advanced Science, Engineering and Information Technology en
dc.relation.ispartofseries Volume 7, issue 5 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other Agricultural and Biological Sciences(all) en
dc.subject.other Engineering(all) en
dc.subject.other 113 Computer and information sciences en
dc.title The penetration of pollutant productions on dynamic generated power operations optimized using a novel evolutionary algorithm en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department State University of Malang
dc.contributor.department IKIP Budi Utomo
dc.contributor.department Ain Shams University
dc.contributor.department Department of Electrical Engineering and Automation
dc.contributor.department Shibaura Institute of Technology
dc.contributor.department Kumamoto University
dc.subject.keyword Economic operation
dc.subject.keyword Emission dispatch
dc.subject.keyword Penalty factor
dc.subject.keyword Power system
dc.subject.keyword Thunderstorm algorithm
dc.subject.keyword Computer Science(all)
dc.subject.keyword Agricultural and Biological Sciences(all)
dc.subject.keyword Engineering(all)
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201802091268
dc.identifier.doi 10.18517/ijaseit.7.5.1635
dc.type.version publishedVersion


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