Loading…

Optimal Selection of Dispatchable Generators in the Microgrid

Optimal selection of dispatchable generators in the microgrid is done by minimizing harmful gasses and particulate matter (PM) emissions, as well as electricity costs. Ranking of the microgrid's energy sources is obtained by applying multicriteria optimization and the PROMETHEE method. The cons...

Full description

Saved in:
Bibliographic Details
Main Authors: Javor, Dario, Krstic, Dejan, Raicevic, Nebojsa
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 5
container_issue
container_start_page 1
container_title
container_volume
creator Javor, Dario
Krstic, Dejan
Raicevic, Nebojsa
description Optimal selection of dispatchable generators in the microgrid is done by minimizing harmful gasses and particulate matter (PM) emissions, as well as electricity costs. Ranking of the microgrid's energy sources is obtained by applying multicriteria optimization and the PROMETHEE method. The considered alternatives in this problem are: the gas internal combustion engine (ICE), the diesel ICE, the microturbine, the fuel cell and the gas turbine, whereas their attributes are: CO 2 , SO 2 , CO, NO X , HC and PM emissions, capital costs, fixed and variable operational & maintenance costs, and fuel costs. For the chosen data, the best result in ranking is obtained for the fuel cell. However, if just environmental criteria are considered, the gas turbine is the best ranked alternative.
doi_str_mv 10.1109/INFOTEH57020.2023.10094120
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10094120</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10094120</ieee_id><sourcerecordid>10094120</sourcerecordid><originalsourceid>FETCH-LOGICAL-i119t-429c5d7a880df8e4011e90e7c104d9c97f7964eef66a6ea2a28743a47a3fe9903</originalsourceid><addsrcrecordid>eNo1j7tOwzAUQA0SEqX0Dxgs9oTrR-zcgQGVvqRCBspcGeeaGoUkcrzw9yAB09mOzmHsVkApBODd7nndHFbbyoKEUoJUpQBALSScsSthTKVtpY06ZzNpjS1QW7hki2n6AAAlQSGKGbtvxhw_XcdfqCOf49DzIfDHOI0u-5N764hvqKfk8pAmHnueT8Sfok_De4rtNbsIrpto8cc5e12vDsttsW82u-XDvohCYC60RF-11tU1tKEmDUIQAlkvQLfo0QaLRhMFY5whJ52srVZOW6cCIYKas5tfbySi45h-itPX8X9XfQMup0pT</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Optimal Selection of Dispatchable Generators in the Microgrid</title><source>IEEE Xplore All Conference Series</source><creator>Javor, Dario ; Krstic, Dejan ; Raicevic, Nebojsa</creator><creatorcontrib>Javor, Dario ; Krstic, Dejan ; Raicevic, Nebojsa</creatorcontrib><description>Optimal selection of dispatchable generators in the microgrid is done by minimizing harmful gasses and particulate matter (PM) emissions, as well as electricity costs. Ranking of the microgrid's energy sources is obtained by applying multicriteria optimization and the PROMETHEE method. The considered alternatives in this problem are: the gas internal combustion engine (ICE), the diesel ICE, the microturbine, the fuel cell and the gas turbine, whereas their attributes are: CO 2 , SO 2 , CO, NO X , HC and PM emissions, capital costs, fixed and variable operational &amp; maintenance costs, and fuel costs. For the chosen data, the best result in ranking is obtained for the fuel cell. However, if just environmental criteria are considered, the gas turbine is the best ranked alternative.</description><identifier>EISSN: 2767-9470</identifier><identifier>EISBN: 1665475463</identifier><identifier>EISBN: 9781665475457</identifier><identifier>EISBN: 1665475455</identifier><identifier>EISBN: 9781665475464</identifier><identifier>DOI: 10.1109/INFOTEH57020.2023.10094120</identifier><language>eng</language><publisher>IEEE</publisher><subject>Costs ; dispatchable generators ; electricity costs ; Fuel cells ; Generators ; GHG emissions ; Maintenance engineering ; Microgrids ; multicriteria optimization ; Optimization methods ; Power system reliability</subject><ispartof>2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH), 2023, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10094120$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,23930,23931,25140,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10094120$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Javor, Dario</creatorcontrib><creatorcontrib>Krstic, Dejan</creatorcontrib><creatorcontrib>Raicevic, Nebojsa</creatorcontrib><title>Optimal Selection of Dispatchable Generators in the Microgrid</title><title>2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)</title><addtitle>INFOTEH</addtitle><description>Optimal selection of dispatchable generators in the microgrid is done by minimizing harmful gasses and particulate matter (PM) emissions, as well as electricity costs. Ranking of the microgrid's energy sources is obtained by applying multicriteria optimization and the PROMETHEE method. The considered alternatives in this problem are: the gas internal combustion engine (ICE), the diesel ICE, the microturbine, the fuel cell and the gas turbine, whereas their attributes are: CO 2 , SO 2 , CO, NO X , HC and PM emissions, capital costs, fixed and variable operational &amp; maintenance costs, and fuel costs. For the chosen data, the best result in ranking is obtained for the fuel cell. However, if just environmental criteria are considered, the gas turbine is the best ranked alternative.</description><subject>Costs</subject><subject>dispatchable generators</subject><subject>electricity costs</subject><subject>Fuel cells</subject><subject>Generators</subject><subject>GHG emissions</subject><subject>Maintenance engineering</subject><subject>Microgrids</subject><subject>multicriteria optimization</subject><subject>Optimization methods</subject><subject>Power system reliability</subject><issn>2767-9470</issn><isbn>1665475463</isbn><isbn>9781665475457</isbn><isbn>1665475455</isbn><isbn>9781665475464</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j7tOwzAUQA0SEqX0Dxgs9oTrR-zcgQGVvqRCBspcGeeaGoUkcrzw9yAB09mOzmHsVkApBODd7nndHFbbyoKEUoJUpQBALSScsSthTKVtpY06ZzNpjS1QW7hki2n6AAAlQSGKGbtvxhw_XcdfqCOf49DzIfDHOI0u-5N764hvqKfk8pAmHnueT8Sfok_De4rtNbsIrpto8cc5e12vDsttsW82u-XDvohCYC60RF-11tU1tKEmDUIQAlkvQLfo0QaLRhMFY5whJ52srVZOW6cCIYKas5tfbySi45h-itPX8X9XfQMup0pT</recordid><startdate>20230315</startdate><enddate>20230315</enddate><creator>Javor, Dario</creator><creator>Krstic, Dejan</creator><creator>Raicevic, Nebojsa</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20230315</creationdate><title>Optimal Selection of Dispatchable Generators in the Microgrid</title><author>Javor, Dario ; Krstic, Dejan ; Raicevic, Nebojsa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i119t-429c5d7a880df8e4011e90e7c104d9c97f7964eef66a6ea2a28743a47a3fe9903</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Costs</topic><topic>dispatchable generators</topic><topic>electricity costs</topic><topic>Fuel cells</topic><topic>Generators</topic><topic>GHG emissions</topic><topic>Maintenance engineering</topic><topic>Microgrids</topic><topic>multicriteria optimization</topic><topic>Optimization methods</topic><topic>Power system reliability</topic><toplevel>online_resources</toplevel><creatorcontrib>Javor, Dario</creatorcontrib><creatorcontrib>Krstic, Dejan</creatorcontrib><creatorcontrib>Raicevic, Nebojsa</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Javor, Dario</au><au>Krstic, Dejan</au><au>Raicevic, Nebojsa</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal Selection of Dispatchable Generators in the Microgrid</atitle><btitle>2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)</btitle><stitle>INFOTEH</stitle><date>2023-03-15</date><risdate>2023</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><eissn>2767-9470</eissn><eisbn>1665475463</eisbn><eisbn>9781665475457</eisbn><eisbn>1665475455</eisbn><eisbn>9781665475464</eisbn><abstract>Optimal selection of dispatchable generators in the microgrid is done by minimizing harmful gasses and particulate matter (PM) emissions, as well as electricity costs. Ranking of the microgrid's energy sources is obtained by applying multicriteria optimization and the PROMETHEE method. The considered alternatives in this problem are: the gas internal combustion engine (ICE), the diesel ICE, the microturbine, the fuel cell and the gas turbine, whereas their attributes are: CO 2 , SO 2 , CO, NO X , HC and PM emissions, capital costs, fixed and variable operational &amp; maintenance costs, and fuel costs. For the chosen data, the best result in ranking is obtained for the fuel cell. However, if just environmental criteria are considered, the gas turbine is the best ranked alternative.</abstract><pub>IEEE</pub><doi>10.1109/INFOTEH57020.2023.10094120</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2767-9470
ispartof 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH), 2023, p.1-5
issn 2767-9470
language eng
recordid cdi_ieee_primary_10094120
source IEEE Xplore All Conference Series
subjects Costs
dispatchable generators
electricity costs
Fuel cells
Generators
GHG emissions
Maintenance engineering
Microgrids
multicriteria optimization
Optimization methods
Power system reliability
title Optimal Selection of Dispatchable Generators in the Microgrid
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T13%3A42%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Optimal%20Selection%20of%20Dispatchable%20Generators%20in%20the%20Microgrid&rft.btitle=2023%2022nd%20International%20Symposium%20INFOTEH-JAHORINA%20(INFOTEH)&rft.au=Javor,%20Dario&rft.date=2023-03-15&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.eissn=2767-9470&rft_id=info:doi/10.1109/INFOTEH57020.2023.10094120&rft.eisbn=1665475463&rft.eisbn_list=9781665475457&rft.eisbn_list=1665475455&rft.eisbn_list=9781665475464&rft_dat=%3Cieee_CHZPO%3E10094120%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i119t-429c5d7a880df8e4011e90e7c104d9c97f7964eef66a6ea2a28743a47a3fe9903%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10094120&rfr_iscdi=true