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Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm
This paper proposes a PSO optimization algorithm for specifying the most appropriate photovoltaic-based distributed generation size and location in power grids. The issue has been investigated in four seasons of the year and two operation modes (PV and PQ) on IEEE 96-bus distribution systems. Given...
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creator | Ahmadi, Razieh Hosseini, Seyed Amirhossein Mohammadi, Sajad Naghizadeh, Ramezan-Ali Gharehpetian, Gevork. B. |
description | This paper proposes a PSO optimization algorithm for specifying the most appropriate photovoltaic-based distributed generation size and location in power grids. The issue has been investigated in four seasons of the year and two operation modes (PV and PQ) on IEEE 96-bus distribution systems. Given the network's requirement for active and reactive power compensators, renewable sources can improve power quality on the grid through active and reactive power control. Results indicate that the proposed method improves the voltage profile and reduces losses in the electrical distribution system. The voltage profile improvement in the PQ operation mode is more significant than in the PV operation mode; furthermore, the proposed algorithm in the PQ operation mode has significantly reduced both active and reactive losses in all four seasons compared to the PV operation mode since, in the PQ operation, the reactive power required is also injected into the network in addition to the active power. Finally, despite the amount of consumer PV and PQ demand being different in the year's four seasons, the proposed PSO algorithm can choose the most suitable location and sizing of Photovoltaic-based DGs in Electric power distribution. |
doi_str_mv | 10.1109/SGC58052.2022.9998913 |
format | conference_proceeding |
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B.</creator><creatorcontrib>Ahmadi, Razieh ; Hosseini, Seyed Amirhossein ; Mohammadi, Sajad ; Naghizadeh, Ramezan-Ali ; Gharehpetian, Gevork. B.</creatorcontrib><description>This paper proposes a PSO optimization algorithm for specifying the most appropriate photovoltaic-based distributed generation size and location in power grids. The issue has been investigated in four seasons of the year and two operation modes (PV and PQ) on IEEE 96-bus distribution systems. Given the network's requirement for active and reactive power compensators, renewable sources can improve power quality on the grid through active and reactive power control. Results indicate that the proposed method improves the voltage profile and reduces losses in the electrical distribution system. The voltage profile improvement in the PQ operation mode is more significant than in the PV operation mode; furthermore, the proposed algorithm in the PQ operation mode has significantly reduced both active and reactive losses in all four seasons compared to the PV operation mode since, in the PQ operation, the reactive power required is also injected into the network in addition to the active power. Finally, despite the amount of consumer PV and PQ demand being different in the year's four seasons, the proposed PSO algorithm can choose the most suitable location and sizing of Photovoltaic-based DGs in Electric power distribution.</description><identifier>EISSN: 2572-6927</identifier><identifier>EISBN: 9798350333961</identifier><identifier>DOI: 10.1109/SGC58052.2022.9998913</identifier><language>eng</language><publisher>IEEE</publisher><subject>Energy resources ; Optimal Placement and Sizing ; Photovoltaic Distributed Generation (PVDG) ; Photovoltaic systems ; Power factor correction ; Power quality ; PSO Algorithm ; Reactive power ; Reactive power control ; Renewable Energy Resources ; Renewable energy sources</subject><ispartof>2022 12th Smart Grid Conference (SGC), 2022, p.1-7</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/9998913$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9998913$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ahmadi, Razieh</creatorcontrib><creatorcontrib>Hosseini, Seyed Amirhossein</creatorcontrib><creatorcontrib>Mohammadi, Sajad</creatorcontrib><creatorcontrib>Naghizadeh, Ramezan-Ali</creatorcontrib><creatorcontrib>Gharehpetian, Gevork. B.</creatorcontrib><title>Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm</title><title>2022 12th Smart Grid Conference (SGC)</title><addtitle>SGC</addtitle><description>This paper proposes a PSO optimization algorithm for specifying the most appropriate photovoltaic-based distributed generation size and location in power grids. The issue has been investigated in four seasons of the year and two operation modes (PV and PQ) on IEEE 96-bus distribution systems. Given the network's requirement for active and reactive power compensators, renewable sources can improve power quality on the grid through active and reactive power control. Results indicate that the proposed method improves the voltage profile and reduces losses in the electrical distribution system. The voltage profile improvement in the PQ operation mode is more significant than in the PV operation mode; furthermore, the proposed algorithm in the PQ operation mode has significantly reduced both active and reactive losses in all four seasons compared to the PV operation mode since, in the PQ operation, the reactive power required is also injected into the network in addition to the active power. Finally, despite the amount of consumer PV and PQ demand being different in the year's four seasons, the proposed PSO algorithm can choose the most suitable location and sizing of Photovoltaic-based DGs in Electric power distribution.</description><subject>Energy resources</subject><subject>Optimal Placement and Sizing</subject><subject>Photovoltaic Distributed Generation (PVDG)</subject><subject>Photovoltaic systems</subject><subject>Power factor correction</subject><subject>Power quality</subject><subject>PSO Algorithm</subject><subject>Reactive power</subject><subject>Reactive power control</subject><subject>Renewable Energy Resources</subject><subject>Renewable energy sources</subject><issn>2572-6927</issn><isbn>9798350333961</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkNFKwzAYhaMgOGafQIS8QGvyp2nyX46qVRhsMHvlxUibZIt07WijoE_vhrs638U5B84h5IGzjHOGj5uqlJpJyIABZIiokYsrkqBCLSQTQmDBr8kMpIK0QFC3JJmmT8ZOdmBKsRn5WB1jOJiObsJv6HfU9PaEMZ558HS9H-LwPXTRhJY-hSmOofmKztLK9W40MQw9rfsQJ1pP58h6s6KLbjeMIe4Pd-TGm25yyUXnpH55fi9f0-WqeisXyzRwrmOqrJWFR24t6MaDa7mTGpC1uRTK5qZBLVtvHDegtG-8NyA8V7nXiLwomJiT-__e4JzbHsfTnvFne7lD_AFQuVVP</recordid><startdate>20221213</startdate><enddate>20221213</enddate><creator>Ahmadi, Razieh</creator><creator>Hosseini, Seyed Amirhossein</creator><creator>Mohammadi, Sajad</creator><creator>Naghizadeh, Ramezan-Ali</creator><creator>Gharehpetian, Gevork. B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20221213</creationdate><title>Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm</title><author>Ahmadi, Razieh ; Hosseini, Seyed Amirhossein ; Mohammadi, Sajad ; Naghizadeh, Ramezan-Ali ; Gharehpetian, Gevork. 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B.</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>Ahmadi, Razieh</au><au>Hosseini, Seyed Amirhossein</au><au>Mohammadi, Sajad</au><au>Naghizadeh, Ramezan-Ali</au><au>Gharehpetian, Gevork. B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm</atitle><btitle>2022 12th Smart Grid Conference (SGC)</btitle><stitle>SGC</stitle><date>2022-12-13</date><risdate>2022</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><eissn>2572-6927</eissn><eisbn>9798350333961</eisbn><abstract>This paper proposes a PSO optimization algorithm for specifying the most appropriate photovoltaic-based distributed generation size and location in power grids. The issue has been investigated in four seasons of the year and two operation modes (PV and PQ) on IEEE 96-bus distribution systems. Given the network's requirement for active and reactive power compensators, renewable sources can improve power quality on the grid through active and reactive power control. Results indicate that the proposed method improves the voltage profile and reduces losses in the electrical distribution system. The voltage profile improvement in the PQ operation mode is more significant than in the PV operation mode; furthermore, the proposed algorithm in the PQ operation mode has significantly reduced both active and reactive losses in all four seasons compared to the PV operation mode since, in the PQ operation, the reactive power required is also injected into the network in addition to the active power. Finally, despite the amount of consumer PV and PQ demand being different in the year's four seasons, the proposed PSO algorithm can choose the most suitable location and sizing of Photovoltaic-based DGs in Electric power distribution.</abstract><pub>IEEE</pub><doi>10.1109/SGC58052.2022.9998913</doi><tpages>7</tpages></addata></record> |
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identifier | EISSN: 2572-6927 |
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source | IEEE Xplore All Conference Series |
subjects | Energy resources Optimal Placement and Sizing Photovoltaic Distributed Generation (PVDG) Photovoltaic systems Power factor correction Power quality PSO Algorithm Reactive power Reactive power control Renewable Energy Resources Renewable energy sources |
title | Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm |
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