GA-based optimal sizing of microgrid and DG units under pool and hybrid electricity markets
► An optimized sizing of microgrid (MG) and DGs in a distribution system is investigated. ► MG in this study consist several RES, includes PV, fuel cell and battery bank. ► The effect of power market models such as pool and hybrid is investigated. ► Genetic Algorithm is implemented for optimization....
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| Veröffentlicht in: | International journal of electrical power & energy systems 2012-02, Vol.35 (1), p.83-92 |
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| container_title | International journal of electrical power & energy systems |
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| creator | Mohammadi, M. Hosseinian, S.H. Gharehpetian, G.B. |
| description | ► An optimized sizing of microgrid (MG) and DGs in a distribution system is investigated. ► MG in this study consist several RES, includes PV, fuel cell and battery bank. ► The effect of power market models such as pool and hybrid is investigated. ► Genetic Algorithm is implemented for optimization. ► It is concluded that in hybrid model optimal power of DG and MG is lower than pool.
In this paper an optimized design of micro-grid (MG) in a distribution system based on combination of photovoltaic array, fuel cell and battery bank with multiple DG units under hybrid electricity market model has been presented and so the results has been compared with results of pool electricity market.
In this research, GA-based optimization method is used to obtain optimum power and price of the MG. Then, an objective function based on the total net present worth is considered and GA is employed to obtain the maximum net present worth of the MG, during interconnected operation by optimizing the production of local DGs and power exchanges with the main distribution grid. |
| doi_str_mv | 10.1016/j.ijepes.2011.09.015 |
| format | Article |
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In this paper an optimized design of micro-grid (MG) in a distribution system based on combination of photovoltaic array, fuel cell and battery bank with multiple DG units under hybrid electricity market model has been presented and so the results has been compared with results of pool electricity market.
In this research, GA-based optimization method is used to obtain optimum power and price of the MG. Then, an objective function based on the total net present worth is considered and GA is employed to obtain the maximum net present worth of the MG, during interconnected operation by optimizing the production of local DGs and power exchanges with the main distribution grid.</description><identifier>ISSN: 0142-0615</identifier><identifier>EISSN: 1879-3517</identifier><identifier>DOI: 10.1016/j.ijepes.2011.09.015</identifier><identifier>CODEN: IEPSDC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Direct energy conversion and energy accumulation ; Distributed generation ; Electrical engineering. Electrical power engineering ; Electrical power engineering ; Energy ; Exact sciences and technology ; Hybrid market model ; Micro-grid ; Miscellaneous ; Natural energy ; Operation. Load control. Reliability ; Optimization ; Photoelectric conversion ; Photovoltaic conversion ; Pool market model ; Power networks and lines ; Renewable energy ; Solar cells. Photoelectrochemical cells ; Solar energy</subject><ispartof>International journal of electrical power & energy systems, 2012-02, Vol.35 (1), p.83-92</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-4e4be149947774d1df756b6f6df5e6829e5bb934daa87346a0f7d5910c906cc63</citedby><cites>FETCH-LOGICAL-c368t-4e4be149947774d1df756b6f6df5e6829e5bb934daa87346a0f7d5910c906cc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijepes.2011.09.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25424579$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Mohammadi, M.</creatorcontrib><creatorcontrib>Hosseinian, S.H.</creatorcontrib><creatorcontrib>Gharehpetian, G.B.</creatorcontrib><title>GA-based optimal sizing of microgrid and DG units under pool and hybrid electricity markets</title><title>International journal of electrical power & energy systems</title><description>► An optimized sizing of microgrid (MG) and DGs in a distribution system is investigated. ► MG in this study consist several RES, includes PV, fuel cell and battery bank. ► The effect of power market models such as pool and hybrid is investigated. ► Genetic Algorithm is implemented for optimization. ► It is concluded that in hybrid model optimal power of DG and MG is lower than pool.
In this paper an optimized design of micro-grid (MG) in a distribution system based on combination of photovoltaic array, fuel cell and battery bank with multiple DG units under hybrid electricity market model has been presented and so the results has been compared with results of pool electricity market.
In this research, GA-based optimization method is used to obtain optimum power and price of the MG. Then, an objective function based on the total net present worth is considered and GA is employed to obtain the maximum net present worth of the MG, during interconnected operation by optimizing the production of local DGs and power exchanges with the main distribution grid.</description><subject>Applied sciences</subject><subject>Direct energy conversion and energy accumulation</subject><subject>Distributed generation</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Energy</subject><subject>Exact sciences and technology</subject><subject>Hybrid market model</subject><subject>Micro-grid</subject><subject>Miscellaneous</subject><subject>Natural energy</subject><subject>Operation. Load control. Reliability</subject><subject>Optimization</subject><subject>Photoelectric conversion</subject><subject>Photovoltaic conversion</subject><subject>Pool market model</subject><subject>Power networks and lines</subject><subject>Renewable energy</subject><subject>Solar cells. 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Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Energy</topic><topic>Exact sciences and technology</topic><topic>Hybrid market model</topic><topic>Micro-grid</topic><topic>Miscellaneous</topic><topic>Natural energy</topic><topic>Operation. Load control. Reliability</topic><topic>Optimization</topic><topic>Photoelectric conversion</topic><topic>Photovoltaic conversion</topic><topic>Pool market model</topic><topic>Power networks and lines</topic><topic>Renewable energy</topic><topic>Solar cells. Photoelectrochemical cells</topic><topic>Solar energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohammadi, M.</creatorcontrib><creatorcontrib>Hosseinian, S.H.</creatorcontrib><creatorcontrib>Gharehpetian, G.B.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>International journal of electrical power & energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohammadi, M.</au><au>Hosseinian, S.H.</au><au>Gharehpetian, G.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GA-based optimal sizing of microgrid and DG units under pool and hybrid electricity markets</atitle><jtitle>International journal of electrical power & energy systems</jtitle><date>2012-02-01</date><risdate>2012</risdate><volume>35</volume><issue>1</issue><spage>83</spage><epage>92</epage><pages>83-92</pages><issn>0142-0615</issn><eissn>1879-3517</eissn><coden>IEPSDC</coden><abstract>► An optimized sizing of microgrid (MG) and DGs in a distribution system is investigated. ► MG in this study consist several RES, includes PV, fuel cell and battery bank. ► The effect of power market models such as pool and hybrid is investigated. ► Genetic Algorithm is implemented for optimization. ► It is concluded that in hybrid model optimal power of DG and MG is lower than pool.
In this paper an optimized design of micro-grid (MG) in a distribution system based on combination of photovoltaic array, fuel cell and battery bank with multiple DG units under hybrid electricity market model has been presented and so the results has been compared with results of pool electricity market.
In this research, GA-based optimization method is used to obtain optimum power and price of the MG. Then, an objective function based on the total net present worth is considered and GA is employed to obtain the maximum net present worth of the MG, during interconnected operation by optimizing the production of local DGs and power exchanges with the main distribution grid.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijepes.2011.09.015</doi><tpages>10</tpages></addata></record> |
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| subjects | Applied sciences Direct energy conversion and energy accumulation Distributed generation Electrical engineering. Electrical power engineering Electrical power engineering Energy Exact sciences and technology Hybrid market model Micro-grid Miscellaneous Natural energy Operation. Load control. Reliability Optimization Photoelectric conversion Photovoltaic conversion Pool market model Power networks and lines Renewable energy Solar cells. Photoelectrochemical cells Solar energy |
| title | GA-based optimal sizing of microgrid and DG units under pool and hybrid electricity markets |
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