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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>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2024</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Impact of Renewable Sources on Electrical Power System</ArticleTitle>
<VernacularTitle>تاثیر منابع تجدیدپذیر بر سیستم برق</VernacularTitle>
			<FirstPage>261</FirstPage>
			<LastPage>268</LastPage>
			<ELocationID EIdType="pii">2292</ELocationID>
			
<ELocationID EIdType="doi">10.22098/joape.2023.10269.1730</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.S.</FirstName>
					<LastName>Syed</LastName>
<Affiliation>Department of EEE, VLITS, Vadlamudi, Guntur. Dt, AP 522213, India</Affiliation>

</Author>
<Author>
					<FirstName>C.V.</FirstName>
					<LastName>Suresh</LastName>
<Affiliation>Department of EEE, VVIT, Nambur, Guntur. Dt, AP 522508, India</Affiliation>

</Author>
<Author>
					<FirstName>S.</FirstName>
					<LastName>Sivanagaraju</LastName>
<Affiliation>EEE Department, UCEK, JNTUK, Kakinada, E.G.Dt, AP 533003, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>02</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, Renewable energy sources (RES) are incorporated into the electricity grid. A real-time Andhra Pradesh 14 bus system is considered in which, windy and sunny locations are identified for this study. A new algorithm called Persistence - Extreme Learning Machine (P-ELM) is suggested. The suggested methodology is used to predict wind speed and solar insolation in the selected regions across the short-term and long-term time period horizons. The load flow problem is handled in 12 distinct by penetrating the wind and solar power into the system. The research findings are examined in terms of voltage variation and active power loss. The results obtained observed as, with wind and solar integration, the voltage variation is higher in both the short and long-term time frames, but the active power losses are lower than in the other cases.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Forecasting</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Persistent-extreme learning machine algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Power flow solution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">renewable energy sources</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Renewable penetration</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://joape.uma.ac.ir/article_2292_bf5ef31fe3c376287288420f4423bbee.pdf</ArchiveCopySource>
</Article>
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