Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)
Potou is an isolated site, located in the northern coast of Senegal. The populations living in this area have no easy access to electricity supply. The use of renewable energies can contribute to the improvement of the living conditions of these populations. The methodology used in this paper consis...
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Veröffentlicht in: | Renewable energy 2010-10, Vol.35 (10), p.2388-2390 |
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creator | Ould Bilal, B. Sambou, V. Ndiaye, P.A. Kébé, C.M.F. Ndongo, M. |
description | Potou is an isolated site, located in the northern coast of Senegal. The populations living in this area have no easy access to electricity supply. The use of renewable energies can contribute to the improvement of the living conditions of these populations. The methodology used in this paper consists in Sizing a hybrid solar–wind-battery system optimized through multi-objective genetic algorithm for this site and the influence of the load profiles on the optimal configuration. The two principal aims are: the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP).
To study the load profile influence, three load profiles with the same energy (94 kW h/day) have been used.
The achieved results show that the cost of the optimal configuration strongly depends on the load profile. For example, the cost of the optimal configuration decreases by 7% and 5% going from profile 1 to 2 and for those ones going from 1 to 3. |
doi_str_mv | 10.1016/j.renene.2010.03.004 |
format | Article |
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To study the load profile influence, three load profiles with the same energy (94 kW h/day) have been used.
The achieved results show that the cost of the optimal configuration strongly depends on the load profile. For example, the cost of the optimal configuration decreases by 7% and 5% going from profile 1 to 2 and for those ones going from 1 to 3.</description><identifier>ISSN: 0960-1481</identifier><identifier>EISSN: 1879-0682</identifier><identifier>DOI: 10.1016/j.renene.2010.03.004</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Annualized cost of system ; Coastal environments ; Cost engineering ; Design engineering ; Genetic algorithm ; Hybrid solar–wind system ; Minimization ; Optimal front of Pareto ; Optimization ; Populations ; Power supplies ; Renewable energy</subject><ispartof>Renewable energy, 2010-10, Vol.35 (10), p.2388-2390</ispartof><rights>2010 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-a825cf69e78779c988913635c2188f513118317ebdf15588b4c8f4ecac5bb1a23</citedby><cites>FETCH-LOGICAL-c371t-a825cf69e78779c988913635c2188f513118317ebdf15588b4c8f4ecac5bb1a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0960148110001060$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Ould Bilal, B.</creatorcontrib><creatorcontrib>Sambou, V.</creatorcontrib><creatorcontrib>Ndiaye, P.A.</creatorcontrib><creatorcontrib>Kébé, C.M.F.</creatorcontrib><creatorcontrib>Ndongo, M.</creatorcontrib><title>Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)</title><title>Renewable energy</title><description>Potou is an isolated site, located in the northern coast of Senegal. The populations living in this area have no easy access to electricity supply. The use of renewable energies can contribute to the improvement of the living conditions of these populations. The methodology used in this paper consists in Sizing a hybrid solar–wind-battery system optimized through multi-objective genetic algorithm for this site and the influence of the load profiles on the optimal configuration. The two principal aims are: the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP).
To study the load profile influence, three load profiles with the same energy (94 kW h/day) have been used.
The achieved results show that the cost of the optimal configuration strongly depends on the load profile. For example, the cost of the optimal configuration decreases by 7% and 5% going from profile 1 to 2 and for those ones going from 1 to 3.</description><subject>Annualized cost of system</subject><subject>Coastal environments</subject><subject>Cost engineering</subject><subject>Design engineering</subject><subject>Genetic algorithm</subject><subject>Hybrid solar–wind system</subject><subject>Minimization</subject><subject>Optimal front of Pareto</subject><subject>Optimization</subject><subject>Populations</subject><subject>Power supplies</subject><subject>Renewable energy</subject><issn>0960-1481</issn><issn>1879-0682</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kc9u1DAQxiNEJZaWN-DgG-WQxZM4sXNBQhX_pJVaCThbjjNpvXLsYDtU6Yl34EF4J56kXhaOrebg0ej7zXjmK4qXQLdAoX2z3wZ0ObYVzSVabyllT4oNCN6VtBXV02JDu5aWwAQ8K57HuKcUGsHZpvh9OSczKUsGjObaET8SRW7WPpiBRG9V-PPz161xQ9mrlDCsJK4x4USWaNw1STdIJuPMZO5UMv4vfqgp5xZlzR0ORPuY_kPKDQ8i1sd4yGd_i4HEZZ7tSubge9Uba9JKzndXX65enxUno7IRX_x7T4tvH95_vfhU7i4_fr54tyt1zSGVSlSNHtsOueC8050QHdRt3egKhBgbqAFEDRz7YYSmEaJnWowMtdJN34Oq6tPi1bFv_sL3BWOSk4karVUO_RIlZ6yteL5wVp4_qoSWA8vDGctSdpTqkLcNOMo55OOHVQKVByflXh6dlAcnJa1ldjJjb48Y5oV_GAwyaoNO42AC6iQHbx5vcA-Rbq0z</recordid><startdate>20101001</startdate><enddate>20101001</enddate><creator>Ould Bilal, B.</creator><creator>Sambou, V.</creator><creator>Ndiaye, P.A.</creator><creator>Kébé, C.M.F.</creator><creator>Ndongo, M.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>20101001</creationdate><title>Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)</title><author>Ould Bilal, B. ; Sambou, V. ; Ndiaye, P.A. ; Kébé, C.M.F. ; Ndongo, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-a825cf69e78779c988913635c2188f513118317ebdf15588b4c8f4ecac5bb1a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Annualized cost of system</topic><topic>Coastal environments</topic><topic>Cost engineering</topic><topic>Design engineering</topic><topic>Genetic algorithm</topic><topic>Hybrid solar–wind system</topic><topic>Minimization</topic><topic>Optimal front of Pareto</topic><topic>Optimization</topic><topic>Populations</topic><topic>Power supplies</topic><topic>Renewable energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ould Bilal, B.</creatorcontrib><creatorcontrib>Sambou, V.</creatorcontrib><creatorcontrib>Ndiaye, P.A.</creatorcontrib><creatorcontrib>Kébé, C.M.F.</creatorcontrib><creatorcontrib>Ndongo, M.</creatorcontrib><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Renewable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ould Bilal, B.</au><au>Sambou, V.</au><au>Ndiaye, P.A.</au><au>Kébé, C.M.F.</au><au>Ndongo, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)</atitle><jtitle>Renewable energy</jtitle><date>2010-10-01</date><risdate>2010</risdate><volume>35</volume><issue>10</issue><spage>2388</spage><epage>2390</epage><pages>2388-2390</pages><issn>0960-1481</issn><eissn>1879-0682</eissn><abstract>Potou is an isolated site, located in the northern coast of Senegal. The populations living in this area have no easy access to electricity supply. The use of renewable energies can contribute to the improvement of the living conditions of these populations. The methodology used in this paper consists in Sizing a hybrid solar–wind-battery system optimized through multi-objective genetic algorithm for this site and the influence of the load profiles on the optimal configuration. The two principal aims are: the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP).
To study the load profile influence, three load profiles with the same energy (94 kW h/day) have been used.
The achieved results show that the cost of the optimal configuration strongly depends on the load profile. For example, the cost of the optimal configuration decreases by 7% and 5% going from profile 1 to 2 and for those ones going from 1 to 3.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.renene.2010.03.004</doi><tpages>3</tpages></addata></record> |
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subjects | Annualized cost of system Coastal environments Cost engineering Design engineering Genetic algorithm Hybrid solar–wind system Minimization Optimal front of Pareto Optimization Populations Power supplies Renewable energy |
title | Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP) |
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