An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems
In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG pla...
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description | In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG placement and sizing for an optimal development of the distribution system. In this study, the optimum sizes and locations of DG units are found by considering the power losses and voltage profile as objective functions. The feasibility of the proposed technique is demonstrated in two distribution networks, where the qualitative comparisons are made against a well-known technique, known as Non-dominated Sorting Genetic Algorithm II (NSGA-II). Furthermore, the results obtained are compared with those available in the literature. |
doi_str_mv | 10.1109/TSG.2012.2237420 |
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Y.</creatorcontrib><title>An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG placement and sizing for an optimal development of the distribution system. In this study, the optimum sizes and locations of DG units are found by considering the power losses and voltage profile as objective functions. The feasibility of the proposed technique is demonstrated in two distribution networks, where the qualitative comparisons are made against a well-known technique, known as Non-dominated Sorting Genetic Algorithm II (NSGA-II). Furthermore, the results obtained are compared with those available in the literature.</description><subject>Distributed generation</subject><subject>harmony search algorithm</subject><subject>Linear programming</subject><subject>Measurement</subject><subject>multi-objective optimization</subject><subject>Optimization</subject><subject>Search problems</subject><subject>Sociology</subject><subject>Statistics</subject><subject>Vectors</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1rAjEQxUNpoWK9F3oJ9Lw2H5vdzVG0VcFiQXsO2XRCI-6uTbKC_30jinN5c3hvhvdD6JmSMaVEvm038zEjlI0Z42XOyB0aUJnLjJOC3t92wR_RKIQdScM5L5gcIDVp8bI5-O4IP_iz30eXresdmOiOgBfaN117whvQ3vxi23m8PkTX6D3-2msDDbQRdxbP5gG7Fs9ciN7VfXRdizenEKEJT-jB6n2A0VWH6PvjfTtdZKv1fDmdrDLDJI2Z1NRwK6TRzEpBQWugFTE107yCwoAwIKmlual5VQpdac7qMjXPrdWlLQwfotfL3VTlr4cQ1a7rfZteKloKyXORVzy5yMVlfBeCB6sOPtXxJ0WJOpNUiaQ6k1RXkinycok4ALjZi1xIQij_B5gOb1o</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Nekooei, K.</creator><creator>Farsangi, M. 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Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>4</volume><issue>1</issue><spage>557</spage><epage>567</epage><pages>557-567</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>In this paper a new approach using Harmony Search (HS) algorithm is presented for placing Distributed Generators (DGs) in radial distribution systems. The approach is making use of a multiple objective planning framework, named an Improved Multi-objective HS (IMOHS), to evaluate the impact of DG placement and sizing for an optimal development of the distribution system. In this study, the optimum sizes and locations of DG units are found by considering the power losses and voltage profile as objective functions. 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subjects | Distributed generation harmony search algorithm Linear programming Measurement multi-objective optimization Optimization Search problems Sociology Statistics Vectors |
title | An Improved Multi-Objective Harmony Search for Optimal Placement of DGs in Distribution Systems |
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