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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Mohaghegh Ardabili</PublisherName>
				<JournalTitle>Journal of Operation and Automation in Power Engineering</JournalTitle>
				<Issn>2322-4576</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Coordinated Resource Scheduling in a Large Scale Virtual Power Plant Considering Demand Response and Energy Storages</ArticleTitle>
<VernacularTitle>برنامه ریزی هماهنگ منابع در نیروگاه مجازی مقیاس بزرگ با در نظر گرفتن پاسخگویی بار و ذخیره سازهای انرژی</VernacularTitle>
			<FirstPage>50</FirstPage>
			<LastPage>60</LastPage>
			<ELocationID EIdType="pii">636</ELocationID>
			
<ELocationID EIdType="doi">10.22098/joape.2018.3153.1257</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>H.</FirstName>
					<LastName>M. Samakoosh</LastName>
<Affiliation>Mazandaran University of Science and Technology</Affiliation>

</Author>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Jafari-Nokandi</LastName>
<Affiliation>Noshirvani University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Sheikholeslami</LastName>
<Affiliation>Noshirvani University of Technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>12</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>&lt;em&gt;Virtual power plant&lt;/em&gt;&lt;em&gt; (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The profit of the VPP is calculated considering different components including the income from the sale of electricity to the network and the incentives received by the renewable resources, fuel cost, the expense of the purchase of electricity from the network and the load curtailment cost during the scheduling horizon. The proposed model is implemented in a large scale VPP that consists of five plants in two cases: with and without the presence of the DR. Simulation results show that the implementation of the DR program reduces the operation cost in the VPP, therefore increasing its profit.&lt;/em&gt;</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Virtual power plant</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">demand response</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Distributed energy resources</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">storage, Mixed-integer linear programming</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://joape.uma.ac.ir/article_636_271e7836b49dcc5d545da388f996ddd0.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
