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<Article>
<Journal>
				<PublisherName>University of Mohaghegh Ardabili</PublisherName>
				<JournalTitle>Journal of Operation and Automation in Power Engineering</JournalTitle>
				<Issn>2322-4576</Issn>
				<Volume>12</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Virtual power plant operation using an improved meta-heuristic optimization algorithm considering uncertainties</ArticleTitle>
<VernacularTitle>بهره برداری از نیروگاه مجازی با استفاده از الگوریتم بهینه سازی فراابتکاری بهبود یافته با در نظر گرفتن عدم قطعیت ها</VernacularTitle>
			<FirstPage>312</FirstPage>
			<LastPage>325</LastPage>
			<ELocationID EIdType="pii">2293</ELocationID>
			
<ELocationID EIdType="doi">10.22098/joape.2023.11310.1844</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>H.</FirstName>
					<LastName>Farahbakhsh</LastName>
<Affiliation>Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran</Affiliation>

</Author>
<Author>
					<FirstName>I.</FirstName>
					<LastName>Pourfar</LastName>
<Affiliation>Department of Electrical Engineering, Jundi-Shapur University of Technology, Dezful, Iran</Affiliation>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Lashkar Ara</LastName>
<Affiliation>Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>09</Month>
					<Day>05</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, virtual power plant (VPP) planning is done using distributed generation sources to create a safe platform for electricity exchange and to increase the profitability and sustainability of electricity. In the proposed model, the effect of micro-grid interaction with the electricity market in the presence of distributed generation resources and storage is investigated. To solve this problem, an improved artificial bee colony algorithm using the accept-reject method (AR-ABC) is used. The AR method is employed to limit the initial search space as well as for the scenario reduction process. Also, uncertainties related to loads and renewable sources are formulated in a sample micro-grid including micro-turbine (MT), fuel cell (FC), wind turbine (WT), photovoltaic cells (PV) and batteries for storage; the results are compared with those of other methods, which shows this method works better than others. The software simulations of this research are done in the MATLAB software environment.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Accept-reject method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Electricity market</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">renewable energy sources</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Uncertainty</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Virtual power plant</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://joape.uma.ac.ir/article_2293_cf594367c8137297dcac94738893587f.pdf</ArchiveCopySource>
</Article>
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