Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities
In this article, a multi-period optimal scheduling framework considering load priorities is proposed to optimize the operation of an islanded smart distribution network. The main idea of this work is to provide sufficient power supply to high priority loads even during limited generation periods whi...
Gespeichert in:
Veröffentlicht in: | Electrical engineering 2023-04, Vol.105 (2), p.993-1013 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1013 |
---|---|
container_issue | 2 |
container_start_page | 993 |
container_title | Electrical engineering |
container_volume | 105 |
creator | Ramesh, B. Khedkar, Mohan Kulkarni, Nitin Kumar Kumar, Raushan |
description | In this article, a multi-period optimal scheduling framework considering load priorities is proposed to optimize the operation of an islanded smart distribution network. The main idea of this work is to provide sufficient power supply to high priority loads even during limited generation periods while also assuring network security and achieving optimal generation schedules for distributed energy resources and optimal charging/discharging schedules for battery bank (BB). The proposed scheduling framework is formulated as a multi-objective optimization problem in four different operating cases, over multiple time periods considering conventional generation sources, renewable energy sources, battery bank (BB), and various loads. Loads comprise hospitals, public consumer loads, industries, education centers, and domestic loads. The usual objectives of optimal scheduling problems in the literature are minimizing network power loss, total cost of generation, and maximizing customer benefit; however, less attention has been paid to distribution network security. Therefore, in this article, voltage stability index is considered as one of the objective functions along with network power loss, total cost of generation, and total load curtailment. The proposed scheduling problem is solved using Non-dominated Sorting Genetic Algorithm-II (NSGA-II), and its performance is evaluated on the modified IEEE 34 bus system. The accuracy of results is verified by comparing with the results obtained by solving the proposed scheduling problem using Python optimization modeling objects (Pyomo) software with interior point optimizer as the solver. |
doi_str_mv | 10.1007/s00202-022-01711-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2807041627</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2807041627</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-7c3cc1add7fd7326567fcec2ae4bd4b33ac62f19554acf7285afcb455ce597103</originalsourceid><addsrcrecordid>eNp9kMtKBDEQRYMoOI7-gKuA69Y8O9NLGXzBiBtdh3QemrEnaZM04t-bsQV3Loqi4N5bVQeAc4wuMULiKiNEEGkQqYUFxg07AAvMaB3ZShyCBerYqhEdwcfgJOctQojyji1AfJyG4pvRJh8NjGPxOzXArN-smQYfXqFLamc_Y3qHPkAVoM-DCsYamHcqFWh8Lsn3U_ExwGDLj1LHkL2pkdU_RGXgWNOTL97mU3Dk1JDt2W9fgpfbm-f1fbN5untYX28aTXFXGqGp1lgZI5wRlLS8FU5bTZRlvWE9pUq3xOGOc6a0E2TFldM941xb3gmM6BJczLljih-TzUVu45RCXSnJCgnEcEtEVZFZpVPMOVkn66X1ry-JkdyDlTNYWcHKH7CSVROdTXncf2jTX_Q_rm9kRX6Z</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2807041627</pqid></control><display><type>article</type><title>Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities</title><source>SpringerNature Journals</source><creator>Ramesh, B. ; Khedkar, Mohan ; Kulkarni, Nitin Kumar ; Kumar, Raushan</creator><creatorcontrib>Ramesh, B. ; Khedkar, Mohan ; Kulkarni, Nitin Kumar ; Kumar, Raushan</creatorcontrib><description>In this article, a multi-period optimal scheduling framework considering load priorities is proposed to optimize the operation of an islanded smart distribution network. The main idea of this work is to provide sufficient power supply to high priority loads even during limited generation periods while also assuring network security and achieving optimal generation schedules for distributed energy resources and optimal charging/discharging schedules for battery bank (BB). The proposed scheduling framework is formulated as a multi-objective optimization problem in four different operating cases, over multiple time periods considering conventional generation sources, renewable energy sources, battery bank (BB), and various loads. Loads comprise hospitals, public consumer loads, industries, education centers, and domestic loads. The usual objectives of optimal scheduling problems in the literature are minimizing network power loss, total cost of generation, and maximizing customer benefit; however, less attention has been paid to distribution network security. Therefore, in this article, voltage stability index is considered as one of the objective functions along with network power loss, total cost of generation, and total load curtailment. The proposed scheduling problem is solved using Non-dominated Sorting Genetic Algorithm-II (NSGA-II), and its performance is evaluated on the modified IEEE 34 bus system. The accuracy of results is verified by comparing with the results obtained by solving the proposed scheduling problem using Python optimization modeling objects (Pyomo) software with interior point optimizer as the solver.</description><identifier>ISSN: 0948-7921</identifier><identifier>EISSN: 1432-0487</identifier><identifier>DOI: 10.1007/s00202-022-01711-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Batteries ; Distributed generation ; Economics and Management ; Electric power loss ; Electrical Engineering ; Electrical Machines and Networks ; Energy Policy ; Energy storage ; Engineering ; Genetic algorithms ; Multiple objective analysis ; Optimization ; Original Paper ; Power Electronics ; Priorities ; Priority scheduling ; Renewable energy sources ; Schedules ; Scheduling ; Security ; Sorting algorithms ; Voltage stability</subject><ispartof>Electrical engineering, 2023-04, Vol.105 (2), p.993-1013</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-7c3cc1add7fd7326567fcec2ae4bd4b33ac62f19554acf7285afcb455ce597103</citedby><cites>FETCH-LOGICAL-c319t-7c3cc1add7fd7326567fcec2ae4bd4b33ac62f19554acf7285afcb455ce597103</cites><orcidid>0000-0002-7879-1119</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00202-022-01711-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00202-022-01711-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Ramesh, B.</creatorcontrib><creatorcontrib>Khedkar, Mohan</creatorcontrib><creatorcontrib>Kulkarni, Nitin Kumar</creatorcontrib><creatorcontrib>Kumar, Raushan</creatorcontrib><title>Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities</title><title>Electrical engineering</title><addtitle>Electr Eng</addtitle><description>In this article, a multi-period optimal scheduling framework considering load priorities is proposed to optimize the operation of an islanded smart distribution network. The main idea of this work is to provide sufficient power supply to high priority loads even during limited generation periods while also assuring network security and achieving optimal generation schedules for distributed energy resources and optimal charging/discharging schedules for battery bank (BB). The proposed scheduling framework is formulated as a multi-objective optimization problem in four different operating cases, over multiple time periods considering conventional generation sources, renewable energy sources, battery bank (BB), and various loads. Loads comprise hospitals, public consumer loads, industries, education centers, and domestic loads. The usual objectives of optimal scheduling problems in the literature are minimizing network power loss, total cost of generation, and maximizing customer benefit; however, less attention has been paid to distribution network security. Therefore, in this article, voltage stability index is considered as one of the objective functions along with network power loss, total cost of generation, and total load curtailment. The proposed scheduling problem is solved using Non-dominated Sorting Genetic Algorithm-II (NSGA-II), and its performance is evaluated on the modified IEEE 34 bus system. The accuracy of results is verified by comparing with the results obtained by solving the proposed scheduling problem using Python optimization modeling objects (Pyomo) software with interior point optimizer as the solver.</description><subject>Batteries</subject><subject>Distributed generation</subject><subject>Economics and Management</subject><subject>Electric power loss</subject><subject>Electrical Engineering</subject><subject>Electrical Machines and Networks</subject><subject>Energy Policy</subject><subject>Energy storage</subject><subject>Engineering</subject><subject>Genetic algorithms</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Original Paper</subject><subject>Power Electronics</subject><subject>Priorities</subject><subject>Priority scheduling</subject><subject>Renewable energy sources</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Security</subject><subject>Sorting algorithms</subject><subject>Voltage stability</subject><issn>0948-7921</issn><issn>1432-0487</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKBDEQRYMoOI7-gKuA69Y8O9NLGXzBiBtdh3QemrEnaZM04t-bsQV3Loqi4N5bVQeAc4wuMULiKiNEEGkQqYUFxg07AAvMaB3ZShyCBerYqhEdwcfgJOctQojyji1AfJyG4pvRJh8NjGPxOzXArN-smQYfXqFLamc_Y3qHPkAVoM-DCsYamHcqFWh8Lsn3U_ExwGDLj1LHkL2pkdU_RGXgWNOTL97mU3Dk1JDt2W9fgpfbm-f1fbN5untYX28aTXFXGqGp1lgZI5wRlLS8FU5bTZRlvWE9pUq3xOGOc6a0E2TFldM941xb3gmM6BJczLljih-TzUVu45RCXSnJCgnEcEtEVZFZpVPMOVkn66X1ry-JkdyDlTNYWcHKH7CSVROdTXncf2jTX_Q_rm9kRX6Z</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Ramesh, B.</creator><creator>Khedkar, Mohan</creator><creator>Kulkarni, Nitin Kumar</creator><creator>Kumar, Raushan</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7879-1119</orcidid></search><sort><creationdate>20230401</creationdate><title>Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities</title><author>Ramesh, B. ; Khedkar, Mohan ; Kulkarni, Nitin Kumar ; Kumar, Raushan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-7c3cc1add7fd7326567fcec2ae4bd4b33ac62f19554acf7285afcb455ce597103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Batteries</topic><topic>Distributed generation</topic><topic>Economics and Management</topic><topic>Electric power loss</topic><topic>Electrical Engineering</topic><topic>Electrical Machines and Networks</topic><topic>Energy Policy</topic><topic>Energy storage</topic><topic>Engineering</topic><topic>Genetic algorithms</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Original Paper</topic><topic>Power Electronics</topic><topic>Priorities</topic><topic>Priority scheduling</topic><topic>Renewable energy sources</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>Security</topic><topic>Sorting algorithms</topic><topic>Voltage stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ramesh, B.</creatorcontrib><creatorcontrib>Khedkar, Mohan</creatorcontrib><creatorcontrib>Kulkarni, Nitin Kumar</creatorcontrib><creatorcontrib>Kumar, Raushan</creatorcontrib><collection>CrossRef</collection><jtitle>Electrical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ramesh, B.</au><au>Khedkar, Mohan</au><au>Kulkarni, Nitin Kumar</au><au>Kumar, Raushan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities</atitle><jtitle>Electrical engineering</jtitle><stitle>Electr Eng</stitle><date>2023-04-01</date><risdate>2023</risdate><volume>105</volume><issue>2</issue><spage>993</spage><epage>1013</epage><pages>993-1013</pages><issn>0948-7921</issn><eissn>1432-0487</eissn><abstract>In this article, a multi-period optimal scheduling framework considering load priorities is proposed to optimize the operation of an islanded smart distribution network. The main idea of this work is to provide sufficient power supply to high priority loads even during limited generation periods while also assuring network security and achieving optimal generation schedules for distributed energy resources and optimal charging/discharging schedules for battery bank (BB). The proposed scheduling framework is formulated as a multi-objective optimization problem in four different operating cases, over multiple time periods considering conventional generation sources, renewable energy sources, battery bank (BB), and various loads. Loads comprise hospitals, public consumer loads, industries, education centers, and domestic loads. The usual objectives of optimal scheduling problems in the literature are minimizing network power loss, total cost of generation, and maximizing customer benefit; however, less attention has been paid to distribution network security. Therefore, in this article, voltage stability index is considered as one of the objective functions along with network power loss, total cost of generation, and total load curtailment. The proposed scheduling problem is solved using Non-dominated Sorting Genetic Algorithm-II (NSGA-II), and its performance is evaluated on the modified IEEE 34 bus system. The accuracy of results is verified by comparing with the results obtained by solving the proposed scheduling problem using Python optimization modeling objects (Pyomo) software with interior point optimizer as the solver.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00202-022-01711-4</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-7879-1119</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0948-7921 |
ispartof | Electrical engineering, 2023-04, Vol.105 (2), p.993-1013 |
issn | 0948-7921 1432-0487 |
language | eng |
recordid | cdi_proquest_journals_2807041627 |
source | SpringerNature Journals |
subjects | Batteries Distributed generation Economics and Management Electric power loss Electrical Engineering Electrical Machines and Networks Energy Policy Energy storage Engineering Genetic algorithms Multiple objective analysis Optimization Original Paper Power Electronics Priorities Priority scheduling Renewable energy sources Schedules Scheduling Security Sorting algorithms Voltage stability |
title | Multi-period optimal scheduling framework in an islanded smart distribution network considering load priorities |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T10%3A50%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multi-period%20optimal%20scheduling%20framework%20in%20an%20islanded%20smart%20distribution%20network%20considering%20load%20priorities&rft.jtitle=Electrical%20engineering&rft.au=Ramesh,%20B.&rft.date=2023-04-01&rft.volume=105&rft.issue=2&rft.spage=993&rft.epage=1013&rft.pages=993-1013&rft.issn=0948-7921&rft.eissn=1432-0487&rft_id=info:doi/10.1007/s00202-022-01711-4&rft_dat=%3Cproquest_cross%3E2807041627%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2807041627&rft_id=info:pmid/&rfr_iscdi=true |