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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>Amirkabir Journal of Mechanical Engineering</JournalTitle>
				<Issn>2008-6032</Issn>
				<Volume>52</Volume>
				<Issue>9</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>03</Month>
					<Day>20</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Optimization of the Turbines Locating in the Wind Farm</ArticleTitle>
<VernacularTitle>Optimization of the Turbines Locating in the Wind Farm</VernacularTitle>
			<FirstPage>2387</FirstPage>
			<LastPage>2402</LastPage>
			<ELocationID EIdType="pii">3349</ELocationID>
			
<ELocationID EIdType="doi">10.22060/mej.2019.15150.6043</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Seyed Mojtaba</FirstName>
					<LastName>Varedi Kulaee</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID">0000-0002-7427-2127</Identifier>

</Author>
<Author>
					<FirstName>Masood</FirstName>
					<LastName>Abdolmohammadi</LastName>
<Affiliation>Department of Mechanical and Mechatronics Engineering, Shahrood University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>Habib</FirstName>
					<LastName>Ahmadi</LastName>
<Affiliation>Department of Mechanical and Mechatronics Engineering, Shahrood University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Nazari</LastName>
<Affiliation>Department of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>10</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>Nowadays, with regard to the reduction of fossil fuels and the management of their   use, wind power is now rising as one of the most efficient renewable energy sources. Moreover, wind farms, which include sets of turbines in a farm, have become more developed and their designs and optimizations have risen recently. In this paper, the wind turbines are located in the wind farm and the effects of their positions and arrangements on the production power of the whole system are investigated. For this purpose, a square farm is considered and, having information on how the winds and wind speeds in each case, will extract the optimum location of turbines in the farm using optimization algorithms. The main goal of this research is to increase the total amount of power extracted from the wind farm based on the changes in the locations and arrangements of the turbines. This optimization problem is subjected to some constraints, such as the maximum number of turbines in the farm, the minimum distance between turbines and the overall size of the farm. To solve this optimization problem, the genetic algorithm and particle swarm optimization methods are used and the results of these methods are compared.</Abstract>
			<OtherAbstract Language="FA">Nowadays, with regard to the reduction of fossil fuels and the management of their   use, wind power is now rising as one of the most efficient renewable energy sources. Moreover, wind farms, which include sets of turbines in a farm, have become more developed and their designs and optimizations have risen recently. In this paper, the wind turbines are located in the wind farm and the effects of their positions and arrangements on the production power of the whole system are investigated. For this purpose, a square farm is considered and, having information on how the winds and wind speeds in each case, will extract the optimum location of turbines in the farm using optimization algorithms. The main goal of this research is to increase the total amount of power extracted from the wind farm based on the changes in the locations and arrangements of the turbines. This optimization problem is subjected to some constraints, such as the maximum number of turbines in the farm, the minimum distance between turbines and the overall size of the farm. To solve this optimization problem, the genetic algorithm and particle swarm optimization methods are used and the results of these methods are compared.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Wind farm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">optimization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Turbine</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">genetic algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Particle Swarm Optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://mej.aut.ac.ir/article_3349_69f268fb2ba1068615b3219c6e8f57e8.pdf</ArchiveCopySource>
</Article>
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