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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Computational Intelligence in Electrical Engineering</JournalTitle>
				<Issn>2821-0689</Issn>
				<Volume>4</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2013</Year>
					<Month>11</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Simultaneous Optimal Placement of Distributed Generation and Electric Vehicle Parking Lots Based on Probabilistic EV Model</ArticleTitle>
<VernacularTitle>Simultaneous Optimal Placement of Distributed Generation and Electric Vehicle Parking Lots Based on Probabilistic EV Model</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">15369</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>M.H.</FirstName>
					<LastName>Amini</LastName>
<Affiliation>Faculty of Electrical and Computer Engineering-Tarbiat Modares University-Tehran-Iran</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Parsa Moghaddam</LastName>
<Affiliation>Faculty of Electrical and Computer Engineering-Tarbiat Modares University-Tehran-Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>06</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>High penetration of distributed generations and the increasing demand for using electric vehicles provide a lot of issues for the utilities. If these two effective elements of the future power system are used in an unscheduled manner, it may lead to the loss increment in distribution networks, dramatically. In this paper, the simultaneous allocation of distributed generations (DGs) and electric vehicles (EVs) parking lots has been studied in a radial distribution network. A distribution network which is upgrading and equipped with DGs is considered and these resources&#039; optimal placement is achieved in interaction with the EV parking lots in order to minimize the power distribution network loss. The proposed method considers not only the loss minimization but also the reliability of the parking lot from the investor&#039;s point of view. The output of this model is the daily electricity demand of parking lot. The proposed method includes two levels. At the first level of the proposed algorithm, the parking lot investor makes decision and selects three candidate buses for each parking based on three main criteria. After making decision by the parking lot investor, the candidate buses are introduced to the distribution network operator. At the second stage, the distribution network operator allocates the DGs and EV parking lots based on the candidate buses of investor in order to achieve the minimum loss of the distribution network. Finally, the effectiveness of the proposed method is evaluated by allocating of DGs and EV parking lots simultaneously on the standard distribution test system.</Abstract>
			<OtherAbstract Language="FA">High penetration of distributed generations and the increasing demand for using electric vehicles provide a lot of issues for the utilities. If these two effective elements of the future power system are used in an unscheduled manner, it may lead to the loss increment in distribution networks, dramatically. In this paper, the simultaneous allocation of distributed generations (DGs) and electric vehicles (EVs) parking lots has been studied in a radial distribution network. A distribution network which is upgrading and equipped with DGs is considered and these resources&#039; optimal placement is achieved in interaction with the EV parking lots in order to minimize the power distribution network loss. The proposed method considers not only the loss minimization but also the reliability of the parking lot from the investor&#039;s point of view. The output of this model is the daily electricity demand of parking lot. The proposed method includes two levels. At the first level of the proposed algorithm, the parking lot investor makes decision and selects three candidate buses for each parking based on three main criteria. After making decision by the parking lot investor, the candidate buses are introduced to the distribution network operator. At the second stage, the distribution network operator allocates the DGs and EV parking lots based on the candidate buses of investor in order to achieve the minimum loss of the distribution network. Finally, the effectiveness of the proposed method is evaluated by allocating of DGs and EV parking lots simultaneously on the standard distribution test system.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Vehicles\' Parking Lot</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Distributed Generation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Investor Decision Making Index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Genetic Algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://isee.ui.ac.ir/article_15369_796cbd1cca52029f598ae0efc8b36059.pdf</ArchiveCopySource>
</Article>
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