<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume></Volume>
				<Issue>Articles in Press</Issue>
				<PubDate PubStatus="epublish">
					<Year>2023</Year>
					<Month>11</Month>
					<Day>27</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Design of FUZZY-3DOF-PID controller for an Ocean Thermal hybrid Automatic Generation Control system</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">23423</ELocationID>
			
<ELocationID EIdType="doi">10.24200/sci.2023.62325.7774</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Susmit</FirstName>
					<LastName>Chakraborty</LastName>
<Affiliation>Electrical&amp; Electronics Engineering Department, Pailan College of Management &amp; Technology, Kolkata, India</Affiliation>

</Author>
<Author>
					<FirstName>Arindam</FirstName>
					<LastName>Mondal</LastName>
<Affiliation>Electrical Engineering Department, Dr. B C Roy Engineering Collee, Durgapur, India</Affiliation>

</Author>
<Author>
					<FirstName>Soumen</FirstName>
					<LastName>Biswas</LastName>
<Affiliation>Electrical Engineering Department, Dr. B C Roy Engineering Collee, Durgapur, India</Affiliation>

</Author>
<Author>
					<FirstName>Provas Kumar</FirstName>
					<LastName>Roy</LastName>
<Affiliation>Electrical Engineering Department, Kalyani Government Engineering College, Kalyani, India</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2023</Year>
					<Month>04</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>Balancing of generation and demand is the most essential requirement for power system (PS) network. The frequency of generation varies for different kinds of sources incorporated in the PS network as well as for the variation of the loads. The power system integrated with different renewable energy (RE) sources needs to be controlled and stable with a small variation of loads. The automatic generation controller (AGC) is essential for achieving load frequency balance in the PS network. A mismatch of frequency between the supply and demand may lead to development of large system errors. In this paper, an intelligent and robust Fuzzy logic-based controller is proposed for AGC in power system incorporating different types of RE sources like solar, wind, and ocean-thermal. Controller parameters are optimally tuned using Firebug Swarm Optimization (FSO) algorithm. A 2-area-test system is considered as the test bench for the proposed controller. In a later stage a fuzzy hybrid 3DOF-PID controller is designed for controlling 3-area PS network containing RE sources . The designed controller is robust to load variation and the comparison of the various performance indices demonstrates the superiority of the proposed controller over other controllers .</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Automatic Generation Control (AGC)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Firebug Swarm Optimization (FSO)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fractional Order Proportional Integral Derivative Controller (FOPID)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy. Non-Renewable Sources</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">3-degree freedom of proportional integral and derivative (3DOF-PID)</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_23423_6c6a1a7f418076a7a655f754c87d821d.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
