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The algorithm is impressed by the interactive behavior opted by the living organisms for surviving and to propagate in the ecosystem. This concept aims for optimal survivability in the ecosystem involving the harm and benefits received from other organisms. The aim is to find optimal reconfiguration and to reduce the real power loss in the distribution side. This approach is examined on 16-bus and 33-bus systems. The results show a significant reduction of real power loss. The time required for execution is less when compared to other approaches. Based on the results calculated with distribution load flow algorithm the SOSA gives better results in terms of real power loss reduction and it is best suitable for digital automation systems.<\/jats:p>","DOI":"10.3233\/jifs-169988","type":"journal-article","created":{"date-parts":[[2019,4,2]],"date-time":"2019-04-02T13:44:02Z","timestamp":1554212642000},"page":"4319-4326","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["A novel distribution system reconfiguration for loss minimization using symbiotic organism search algorithm"],"prefix":"10.1177","volume":"36","author":[{"given":"C.","family":"Kumar","sequence":"first","affiliation":[{"name":"Department of EEE, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India"}]},{"given":"K.","family":"Sathish Kumar","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India"}]},{"given":"V.","family":"Indra Gandhi","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India"}]},{"given":"V.","family":"Vijayakumar","sequence":"additional","affiliation":[{"name":"SCSE, VIT University, Chennai, Tamil Nadu, India"}]},{"given":"Bharat S","family":"Rawal","sequence":"additional","affiliation":[{"name":"Department of Information Sciences and Technology, Penn State Abington, PA"}]}],"member":"179","published-online":{"date-parts":[[2019,4]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/67.17993"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2008.2002178"},{"key":"e_1_3_1_4_2","first-page":"V4320","article-title":"Implementation of improved genetic algorithm in distribution system with feeder reconfiguration to minimize real power losses","volume":"4","author":"Ravibabu P.","year":"2010","unstructured":"RavibabuP., RamyaM.V.S., SandeepR., KarthikM.V. and HarshaS., Implementation of improved genetic algorithm in distribution system with feeder reconfiguration to minimize real power losses, In: Computer Engineering and Technology (ICCET), 2010 2nd International Conference on4 (2010), V4320\u2013V4-323.","journal-title":"In: Computer Engineering and Technology (ICCET), 2010 2nd International Conference on"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/61.141868"},{"key":"e_1_3_1_6_2","first-page":"251","article-title":"A novel model for loss minimization in distribution networks","author":"Kashem M.A.","year":"2000","unstructured":"KashemM.A., GanapathyV., JasmonG.B. and BuhariM.I., A novel model for loss minimization in distribution networks, In: IEEE International Power Technologies 2000 Conference on Electric Utility Deregulation, Restructuring at City University London, 2000, pp. 251\u2013256.","journal-title":"In: IEEE International Power Technologies 2000 Conference on Electric Utility Deregulation, Restructuring at City University London"},{"key":"e_1_3_1_7_2","first-page":"1","article-title":"Minimum loss configuration of power distribution system. 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