Loading…

Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty

Today, intelligent management techniques play an increasingly important role in achieving clean and profitable energy solutions. As energy consumption rises around the world, the complexity of effective strategies to manage our energy resources based on new technologies also grows. This research pap...

Full description

Saved in:

Bibliographic Details
Main Authors:	Szilagyi, Eniko, Petreus, Dorin, Patarau, Toma, Sarbu, Nicolae Alexandru
Format:	Conference Proceeding
Language:	English
Subjects:	battery life cycle Biomass cost optimization Costs Generators microgrid Microgrids Optimization State of charge stochastic dynamic programming Uncertainty
Online Access:	Request full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by
cites
container_end_page	114
container_issue
container_start_page	110
container_title
container_volume
creator	Szilagyi, Eniko Petreus, Dorin Patarau, Toma Sarbu, Nicolae Alexandru
description	Today, intelligent management techniques play an increasingly important role in achieving clean and profitable energy solutions. As energy consumption rises around the world, the complexity of effective strategies to manage our energy resources based on new technologies also grows. This research paper introduces a smart energy management scheme for an islanded microgrid containing photovoltaic panels, a geothermal generator, a biomass generator, and an energy storage system, considering the uncertainty of the PV power output. The microgrid's proposed energy management method resolves the generator's scheduling problem using stochastic-dynamic programming, focusing on day-ahead cost optimization. The development of this solution is done using the Matlab environment. The main objective is not only to minimize the daily cost of the microgrid but also to prolong the batteries' life cycle. Three different cases are studied considering the functionality of the energy storage system.
doi_str_mv	10.1109/SIITME59799.2023.10430805
format	conference_proceeding
fullrecord	<record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10430805</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10430805</ieee_id><sourcerecordid>10430805</sourcerecordid><originalsourceid>FETCH-LOGICAL-i119t-29248f6c0e50c84a85fa9dc41689253c1980c76e9addf1ceda55eb21b54c62ba3</originalsourceid><addsrcrecordid>eNo1kM1OAjEcxKuJiQR5Aw_1ARb7ve3RIOomEE2AM_nTdtcatpi2HPbtXaKeJpn5zRwGoQdK5pQS87hpmu16KU1tzJwRxueUCE40kVdoNpqaS8KFGNFrNGFKsKomXN2iWc5fhBCqqOI1naCwjD51A15DhM73Pha8GXLxPW5PCUPETT5CdN7hdbDp1KXg8DmH2OFNOdlPyCVY_DxE6Ef9uADQ95f4PJYS3kXrU4EQy3CHblo4Zj_70ynavSy3i7dq9f7aLJ5WVaDUlIoZJnSrLPGSWC1AyxaMs4IqbZjklhpNbK28Aedaar0DKf2B0YMUVrED8Cm6_90N3vv9dwo9pGH__w7_AZueXBU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty</title><source>IEEE Xplore All Conference Series</source><creator>Szilagyi, Eniko ; Petreus, Dorin ; Patarau, Toma ; Sarbu, Nicolae Alexandru</creator><creatorcontrib>Szilagyi, Eniko ; Petreus, Dorin ; Patarau, Toma ; Sarbu, Nicolae Alexandru</creatorcontrib><description>Today, intelligent management techniques play an increasingly important role in achieving clean and profitable energy solutions. As energy consumption rises around the world, the complexity of effective strategies to manage our energy resources based on new technologies also grows. This research paper introduces a smart energy management scheme for an islanded microgrid containing photovoltaic panels, a geothermal generator, a biomass generator, and an energy storage system, considering the uncertainty of the PV power output. The microgrid's proposed energy management method resolves the generator's scheduling problem using stochastic-dynamic programming, focusing on day-ahead cost optimization. The development of this solution is done using the Matlab environment. The main objective is not only to minimize the daily cost of the microgrid but also to prolong the batteries' life cycle. Three different cases are studied considering the functionality of the energy storage system.</description><identifier>EISSN: 2642-7036</identifier><identifier>EISBN: 9798350344110</identifier><identifier>DOI: 10.1109/SIITME59799.2023.10430805</identifier><language>eng</language><publisher>IEEE</publisher><subject>battery life cycle ; Biomass ; cost optimization ; Costs ; Generators ; microgrid ; Microgrids ; Optimization ; State of charge ; stochastic dynamic programming ; Uncertainty</subject><ispartof>2023 IEEE 29th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2023, p.110-114</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/10430805$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10430805$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Szilagyi, Eniko</creatorcontrib><creatorcontrib>Petreus, Dorin</creatorcontrib><creatorcontrib>Patarau, Toma</creatorcontrib><creatorcontrib>Sarbu, Nicolae Alexandru</creatorcontrib><title>Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty</title><title>2023 IEEE 29th International Symposium for Design and Technology in Electronic Packaging (SIITME)</title><addtitle>SIITME</addtitle><description>Today, intelligent management techniques play an increasingly important role in achieving clean and profitable energy solutions. As energy consumption rises around the world, the complexity of effective strategies to manage our energy resources based on new technologies also grows. This research paper introduces a smart energy management scheme for an islanded microgrid containing photovoltaic panels, a geothermal generator, a biomass generator, and an energy storage system, considering the uncertainty of the PV power output. The microgrid's proposed energy management method resolves the generator's scheduling problem using stochastic-dynamic programming, focusing on day-ahead cost optimization. The development of this solution is done using the Matlab environment. The main objective is not only to minimize the daily cost of the microgrid but also to prolong the batteries' life cycle. Three different cases are studied considering the functionality of the energy storage system.</description><subject>battery life cycle</subject><subject>Biomass</subject><subject>cost optimization</subject><subject>Costs</subject><subject>Generators</subject><subject>microgrid</subject><subject>Microgrids</subject><subject>Optimization</subject><subject>State of charge</subject><subject>stochastic dynamic programming</subject><subject>Uncertainty</subject><issn>2642-7036</issn><isbn>9798350344110</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kM1OAjEcxKuJiQR5Aw_1ARb7ve3RIOomEE2AM_nTdtcatpi2HPbtXaKeJpn5zRwGoQdK5pQS87hpmu16KU1tzJwRxueUCE40kVdoNpqaS8KFGNFrNGFKsKomXN2iWc5fhBCqqOI1naCwjD51A15DhM73Pha8GXLxPW5PCUPETT5CdN7hdbDp1KXg8DmH2OFNOdlPyCVY_DxE6Ef9uADQ95f4PJYS3kXrU4EQy3CHblo4Zj_70ynavSy3i7dq9f7aLJ5WVaDUlIoZJnSrLPGSWC1AyxaMs4IqbZjklhpNbK28Aedaar0DKf2B0YMUVrED8Cm6_90N3vv9dwo9pGH__w7_AZueXBU</recordid><startdate>20231018</startdate><enddate>20231018</enddate><creator>Szilagyi, Eniko</creator><creator>Petreus, Dorin</creator><creator>Patarau, Toma</creator><creator>Sarbu, Nicolae Alexandru</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20231018</creationdate><title>Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty</title><author>Szilagyi, Eniko ; Petreus, Dorin ; Patarau, Toma ; Sarbu, Nicolae Alexandru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i119t-29248f6c0e50c84a85fa9dc41689253c1980c76e9addf1ceda55eb21b54c62ba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>battery life cycle</topic><topic>Biomass</topic><topic>cost optimization</topic><topic>Costs</topic><topic>Generators</topic><topic>microgrid</topic><topic>Microgrids</topic><topic>Optimization</topic><topic>State of charge</topic><topic>stochastic dynamic programming</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Szilagyi, Eniko</creatorcontrib><creatorcontrib>Petreus, Dorin</creatorcontrib><creatorcontrib>Patarau, Toma</creatorcontrib><creatorcontrib>Sarbu, Nicolae Alexandru</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 Electronic Library Online</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>Szilagyi, Eniko</au><au>Petreus, Dorin</au><au>Patarau, Toma</au><au>Sarbu, Nicolae Alexandru</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty</atitle><btitle>2023 IEEE 29th International Symposium for Design and Technology in Electronic Packaging (SIITME)</btitle><stitle>SIITME</stitle><date>2023-10-18</date><risdate>2023</risdate><spage>110</spage><epage>114</epage><pages>110-114</pages><eissn>2642-7036</eissn><eisbn>9798350344110</eisbn><abstract>Today, intelligent management techniques play an increasingly important role in achieving clean and profitable energy solutions. As energy consumption rises around the world, the complexity of effective strategies to manage our energy resources based on new technologies also grows. This research paper introduces a smart energy management scheme for an islanded microgrid containing photovoltaic panels, a geothermal generator, a biomass generator, and an energy storage system, considering the uncertainty of the PV power output. The microgrid's proposed energy management method resolves the generator's scheduling problem using stochastic-dynamic programming, focusing on day-ahead cost optimization. The development of this solution is done using the Matlab environment. The main objective is not only to minimize the daily cost of the microgrid but also to prolong the batteries' life cycle. Three different cases are studied considering the functionality of the energy storage system.</abstract><pub>IEEE</pub><doi>10.1109/SIITME59799.2023.10430805</doi><tpages>5</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	EISSN: 2642-7036
ispartof	2023 IEEE 29th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2023, p.110-114
issn	2642-7036
language	eng
recordid	cdi_ieee_primary_10430805
source	IEEE Xplore All Conference Series
subjects	battery life cycle Biomass cost optimization Costs Generators microgrid Microgrids Optimization State of charge stochastic dynamic programming Uncertainty
title	Energy Management System for an Islanded Microgrid using Stochastic Dynamic Programming under Uncertainty
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T15%3A09%3A14IST&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=Energy%20Management%20System%20for%20an%20Islanded%20Microgrid%20using%20Stochastic%20Dynamic%20Programming%20under%20Uncertainty&rft.btitle=2023%20IEEE%2029th%20International%20Symposium%20for%20Design%20and%20Technology%20in%20Electronic%20Packaging%20(SIITME)&rft.au=Szilagyi,%20Eniko&rft.date=2023-10-18&rft.spage=110&rft.epage=114&rft.pages=110-114&rft.eissn=2642-7036&rft_id=info:doi/10.1109/SIITME59799.2023.10430805&rft.eisbn=9798350344110&rft_dat=%3Cieee_CHZPO%3E10430805%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i119t-29248f6c0e50c84a85fa9dc41689253c1980c76e9addf1ceda55eb21b54c62ba3%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=10430805&rfr_iscdi=true