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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>دانشگاه صنعتی نوشیروانی بابل</PublisherName>
				<JournalTitle>مجله علمی  رایانش نرم و فناوری اطلاعات</JournalTitle>
				<Issn>2383-1006</Issn>
				<Volume>3</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Optimal Placement and Sizing of DG in Capacitor Compensated Distribution Networks Using Binary Particle Swarm Optimization</ArticleTitle>
<VernacularTitle>Optimal Placement and Sizing of DG in Capacitor Compensated Distribution Networks Using Binary Particle Swarm Optimization</VernacularTitle>
			<FirstPage>29</FirstPage>
			<LastPage>37</LastPage>
			<ELocationID EIdType="pii">52003</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>رضا</FirstName>
					<LastName>باغی پور</LastName>
<Affiliation>دانشکده مهندسی برق و کامپیوتر دانشگاه صنعتی نوشیروانی بابل</Affiliation>

</Author>
<Author>
					<FirstName>سید مهدی</FirstName>
					<LastName>حسینی</LastName>
<Affiliation>استادیار دانشکده مهندسی برق و کامپیوتر دانشگاه صنعتی نوشیروانی بابل</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>11</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a binary particle swarm optimization for optimally determining the size and location of distributed generation (DG) and capacitor in distribution systems. The main innovation of this paper is using both of DG and capacitor for the reliability improvement and power loss reduction. For this purpose an objective function consisting of reliability cost, power loss cost and also DG&#039;s and capacitor&#039;s investment cost are considered. The effectiveness of the proposed method is examined in the 10 and 33 bus test systems and compared with genetic algorithm method. The results obtained show appreciable reliability improvement and loss reduction while simultaneously using DG and capacitor.</Abstract>
			<OtherAbstract Language="FA">This paper presents a binary particle swarm optimization for optimally determining the size and location of distributed generation (DG) and capacitor in distribution systems. The main innovation of this paper is using both of DG and capacitor for the reliability improvement and power loss reduction. For this purpose an objective function consisting of reliability cost, power loss cost and also DG&#039;s and capacitor&#039;s investment cost are considered. The effectiveness of the proposed method is examined in the 10 and 33 bus test systems and compared with genetic algorithm method. The results obtained show appreciable reliability improvement and loss reduction while simultaneously using DG and capacitor.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">distributed generation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Capacitor bank</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Loss reduction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Reliability improvement</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Binary particle swarm optimization</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jscit.nit.ac.ir/article_52003_5beab85f16162a828932242cbfc52994.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
