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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Isfahan</PublisherName>
				<JournalTitle>Computational Intelligence in Electrical Engineering</JournalTitle>
				<Issn>2821-0689</Issn>
				<Volume>5</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>09</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Optimal energy management system in grid connected Microgrid integrated with distributed generation by using the multi-period artificial bee colony</ArticleTitle>
<VernacularTitle>Optimal energy management system in grid connected Microgrid integrated with distributed generation by using the multi-period artificial bee colony</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">15401</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Azarinejadian</LastName>
<Affiliation>Dept. of Electrical Engineering, Islamic Azad University of Lahijan, Lahijan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Seyyed Mazia</FirstName>
					<LastName>Mirhosseini Moghaddam</LastName>
<Affiliation>Dept. of Electrical Engineering, Islamic Azad University of Lahijan, Lahijan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mousa</FirstName>
					<LastName>Marzband</LastName>
<Affiliation>Dept. of Engineering and Physical Sciences, University of Manchester, Manchester, UK</Affiliation>

</Author>
<Author>
					<FirstName>Narges</FirstName>
					<LastName>Parhizi</LastName>
<Affiliation>Dept. of Electrical Engineering, Islamic Azad University of Lahijan, Lahijan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>06</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>Presenting proper and efficient energy management system (EMS) in the Microgrids (MG) is an important issue for gaining assurance to optimize energy usage based on price preference and system technical constraints. Nowadays by utilizing renewable energy resources and energy storage systems in MG, in addition to reducing the pollution caused by fossil fuels, the safety and power system reliability can also be improved. The proposed algorithm to implement an EMS shall increase the MG ability in both islanded and grid connected operating mode to supply non-responsive load demands from the economic points of view. Implementing EMS over the MG of Institute de Recerca on Energia de Catalunya (IREC) based on artificial bee colony (ABC) optimization approach to economic dispatch between various generation units, considering their offer price is main novelty of this paper. The obtained results from the proposed algorithm when compared with the EMS algorithm based on mixed integer non-linear programming (MINLP) demonstrate the reduction of about 18% of the total generation and it also improves the efficiency of the demand/ generation side management.</Abstract>
			<OtherAbstract Language="FA">Presenting proper and efficient energy management system (EMS) in the Microgrids (MG) is an important issue for gaining assurance to optimize energy usage based on price preference and system technical constraints. Nowadays by utilizing renewable energy resources and energy storage systems in MG, in addition to reducing the pollution caused by fossil fuels, the safety and power system reliability can also be improved. The proposed algorithm to implement an EMS shall increase the MG ability in both islanded and grid connected operating mode to supply non-responsive load demands from the economic points of view. Implementing EMS over the MG of Institute de Recerca on Energia de Catalunya (IREC) based on artificial bee colony (ABC) optimization approach to economic dispatch between various generation units, considering their offer price is main novelty of this paper. The obtained results from the proposed algorithm when compared with the EMS algorithm based on mixed integer non-linear programming (MINLP) demonstrate the reduction of about 18% of the total generation and it also improves the efficiency of the demand/ generation side management.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Artificial bee colony algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">optimal energy management system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Microgrid</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Demand Response</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">responsive load demand</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">demand/ generation side management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://isee.ui.ac.ir/article_15401_78ce727aaada1c92964a53cb36fdb677.pdf</ArchiveCopySource>
</Article>
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