{"title":"基于蚁群算法的配电系统重构与电容布置","authors":"M. J. Kasaei, H. Norouzi","doi":"10.15866/irecon.v11i2.23877","DOIUrl":null,"url":null,"abstract":"High current amounts, low voltage level and radial structure assign high percentage of active power loss in distribution system. There are many means in reducing the active power loss of distribution networks; this paper introduces an ant colony algorithm to solve the optimal network reconfiguration and capacitor placement problem for power loss reduction and voltage profile enhancement in distribution networks. The ant colony algorithm was inspired from natural behavior of the ant colonies on how they find the food source and bring them back to their nest by building the unique trial formation. Ants of artificial colony are able to search for the successively shorter feasible routes by using information accumulated in the form of a pheromone trial deposited on the edge of their traveling path. The proposed approach is demonstrated employing one distribution network. Computational results show that by taking into account feeder reconfiguration and capacitor placement simultaneously, one can be minimize losses more efficiently by considering them separately.","PeriodicalId":37583,"journal":{"name":"International Journal on Energy Conversion","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution System Reconfiguration and Capacitor Placement for Loss Reduction by Ant Colony Algorithm\",\"authors\":\"M. J. Kasaei, H. Norouzi\",\"doi\":\"10.15866/irecon.v11i2.23877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High current amounts, low voltage level and radial structure assign high percentage of active power loss in distribution system. There are many means in reducing the active power loss of distribution networks; this paper introduces an ant colony algorithm to solve the optimal network reconfiguration and capacitor placement problem for power loss reduction and voltage profile enhancement in distribution networks. The ant colony algorithm was inspired from natural behavior of the ant colonies on how they find the food source and bring them back to their nest by building the unique trial formation. Ants of artificial colony are able to search for the successively shorter feasible routes by using information accumulated in the form of a pheromone trial deposited on the edge of their traveling path. The proposed approach is demonstrated employing one distribution network. Computational results show that by taking into account feeder reconfiguration and capacitor placement simultaneously, one can be minimize losses more efficiently by considering them separately.\",\"PeriodicalId\":37583,\"journal\":{\"name\":\"International Journal on Energy Conversion\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal on Energy Conversion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15866/irecon.v11i2.23877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal on Energy Conversion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/irecon.v11i2.23877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Energy","Score":null,"Total":0}
Distribution System Reconfiguration and Capacitor Placement for Loss Reduction by Ant Colony Algorithm
High current amounts, low voltage level and radial structure assign high percentage of active power loss in distribution system. There are many means in reducing the active power loss of distribution networks; this paper introduces an ant colony algorithm to solve the optimal network reconfiguration and capacitor placement problem for power loss reduction and voltage profile enhancement in distribution networks. The ant colony algorithm was inspired from natural behavior of the ant colonies on how they find the food source and bring them back to their nest by building the unique trial formation. Ants of artificial colony are able to search for the successively shorter feasible routes by using information accumulated in the form of a pheromone trial deposited on the edge of their traveling path. The proposed approach is demonstrated employing one distribution network. Computational results show that by taking into account feeder reconfiguration and capacitor placement simultaneously, one can be minimize losses more efficiently by considering them separately.
期刊介绍:
The International Journal on Energy Conversion (IRECON) is a peer-reviewed journal that publishes original theoretical and applied papers on all aspects regarding energy conversion. It is intended to be a cross disciplinary and internationally journal aimed at disseminating results of research on energy conversion. The topics to be covered include but are not limited to: generation of electrical energy for general industrial, commercial, public, and domestic consumption and electromechanical energy conversion for the use of electrical energy, renewable energy conversion, thermoelectricity, thermionic, photoelectric, thermal-photovoltaic, magneto-hydrodynamic, chemical, Brayton, Diesel, Rankine and combined cycles, and Stirling engines, hydrogen and other advanced fuel cells, all sources forms and storage and uses and all conversion phenomena of energy, static or dynamic conversion systems and processes and energy storage (for example solar, nuclear, fossil, geothermal, wind, hydro, and biomass, process heat, electrolysis, heating and cooling, electrical, mechanical and thermal storage units), energy efficiency and management, sustainable energy, heat pipes and capillary pumped loops, thermal management of spacecraft, space and terrestrial power systems, hydrogen production and storage, nuclear power, single and combined cycles, miniaturized energy conversion and power systems, fuel cells and advanced batteries, industrial, civil, automotive, airspace and naval applications on energy conversion. The Editorial policy is to maintain a reasonable balance between papers regarding different research areas so that the Journal will be useful to all interested scientific groups.