{"title":"解决配电网重构问题的改进方法","authors":"Ha Duc Nguyen, I. Valeev","doi":"10.6001/ENERGETIKA.V64I4.3892","DOIUrl":null,"url":null,"abstract":"The paper presents methods for solving the distribution network reconfiguration problem based on heuristic algorithms. In particular, the study solved the distribution network reconfiguration problem for active power losses reduction. The application of the method to a sample network proved effective compared to other algorithms, especially in case of large-scale and complex systems. In addition, the paper considers the influence of the location and capacity of distributed generations on the distribution network reconfiguration problem in different cases. The results show that the distribution network reconfiguration problem combined with optimization location and size of distributed generations is the most efficient solution for minimizing power loss and enhancing voltage profile. The proposed methods have been also successfully applied in the small- and medium-scale practical radial distribution networks. The simulation results show that the proposed methods can be used as reference materials for network reconfiguration problems with single and multi-objectives.","PeriodicalId":35639,"journal":{"name":"Energetika","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Improvement methods for solving the distribution network reconfiguration problem\",\"authors\":\"Ha Duc Nguyen, I. Valeev\",\"doi\":\"10.6001/ENERGETIKA.V64I4.3892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents methods for solving the distribution network reconfiguration problem based on heuristic algorithms. In particular, the study solved the distribution network reconfiguration problem for active power losses reduction. The application of the method to a sample network proved effective compared to other algorithms, especially in case of large-scale and complex systems. In addition, the paper considers the influence of the location and capacity of distributed generations on the distribution network reconfiguration problem in different cases. The results show that the distribution network reconfiguration problem combined with optimization location and size of distributed generations is the most efficient solution for minimizing power loss and enhancing voltage profile. The proposed methods have been also successfully applied in the small- and medium-scale practical radial distribution networks. The simulation results show that the proposed methods can be used as reference materials for network reconfiguration problems with single and multi-objectives.\",\"PeriodicalId\":35639,\"journal\":{\"name\":\"Energetika\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energetika\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6001/ENERGETIKA.V64I4.3892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energetika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6001/ENERGETIKA.V64I4.3892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Improvement methods for solving the distribution network reconfiguration problem
The paper presents methods for solving the distribution network reconfiguration problem based on heuristic algorithms. In particular, the study solved the distribution network reconfiguration problem for active power losses reduction. The application of the method to a sample network proved effective compared to other algorithms, especially in case of large-scale and complex systems. In addition, the paper considers the influence of the location and capacity of distributed generations on the distribution network reconfiguration problem in different cases. The results show that the distribution network reconfiguration problem combined with optimization location and size of distributed generations is the most efficient solution for minimizing power loss and enhancing voltage profile. The proposed methods have been also successfully applied in the small- and medium-scale practical radial distribution networks. The simulation results show that the proposed methods can be used as reference materials for network reconfiguration problems with single and multi-objectives.
EnergetikaEnergy-Energy Engineering and Power Technology
CiteScore
2.10
自引率
0.00%
发文量
0
期刊介绍:
The journal publishes original scientific, review and problem papers in the following fields: power engineering economics, modelling of energy systems, their management and optimization, target systems, environmental impacts of power engineering objects, nuclear energetics, its safety, radioactive waste disposal, renewable power sources, power engineering metrology, thermal physics, aerohydrodynamics, plasma technologies, combustion processes, hydrogen energetics, material studies and technologies, hydrology, hydroenergetics. All papers are reviewed. Information is presented on the defended theses, various conferences, reviews, etc.