<?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>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Demand Response: A Promising Solution to DG Allocation Problem</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 11 (2017)</Volume>
			<Issue>Issue 3, September 2017</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>18</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Demand Response: A Promising Solution to DG Allocation Problem</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi"></ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Soheil</FirstName>
				<LastName>Dolatabadi</LastName>
				<Affiliation>University of Tabriz</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Saeed</FirstName>
				<LastName>Ghassem Zadeh</LastName>
				<Affiliation>University of Tabriz</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>18</Day>
			</PubDate>
		</History>
		<Abstract>In this paper, a comprehensive algorithm using modified invasive weed optimization is introduced for allocating distribution generation (DG) sources along with considering demand response (DR). Three aspects such as technical, economic and environmental are taken to account to define the optimized size and location for DG or DR. In addition, a new voltage fitness function is proposed for better improvisation of voltage profile. The study is done on 30-bus IEEE distribution system and to examine the proposed algorithm, three other optimization algorithms such as GA, PSO and DE are used. The simulation is carried out in MATLAB which shows excellent performance of proposed algorithm.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">DG allocation</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Demand Response</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Modified invasive optimization algorithm</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">no agencies</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Distribution generation</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
