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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-f-electrical-electronic</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - F: Electrical &amp; Electronic</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/56063.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">56063</article-id>
<title-group>
<article-title>Real Power Loss Reduction by Revolutionary Algorithm</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Dr.K.Lenin</surname><given-names></given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">INDIA</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2017-01-15">
<day>15</day>
<month>01</month>
<year>2017</year>
</pub-date>
<volume>17</volume>
<issue>F5</issue>
<fpage>57</fpage>
<lpage>61</lpage>
<abstract><p>In this paper, Kidney Search (KS) algorithm is proposed for solving reactive power problem. When using KS algorithm, solutions are rated based on the average value of the objective function in a particular population of particular round. Optimal solutions are identified in the filtered blood and the rest are considered as inferior solutions. As the algorithm proposed by the name of kidney, it reproduces various processes from the system of a biological kidney. Proposed Kidney search (KS) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed KS algorithm in reducing the real power loss.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>optimal reactive power</kwd>
<kwd>transmission loss</kwd>
<kwd>kidney search algorithm.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJRE_Volume17/7-Real-Power-Loss-Reduction.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/real-power-loss-reduction-by-revolutionary-algorithm/" />
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<title>Full Text</title>
<p>In this paper, Kidney Search (KS) algorithm is proposed for solving reactive power problem. When using KS algorithm, solutions are rated based on the average value of the objective function in a particular population of particular round. Optimal solutions are identified in the filtered blood and the rest are considered as inferior solutions. As the algorithm proposed by the name of kidney, it reproduces various processes from the system of a biological kidney. Proposed Kidney search (KS) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the better performance of the proposed KS algorithm in reducing the real power loss.</p>
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</body>
</article>