{"title":"一种减轻低压配电网损耗和电流不平衡的新方法","authors":"Pooya Najafi Zanjani, Shahram Javadi, Mahmood Hosseini Aliabadi, Gevork B. Gharehpetian","doi":"10.1049/gtd2.70072","DOIUrl":null,"url":null,"abstract":"<p>The use of advanced technologies in smart electrical grids has created new opportunities to reduce losses, increase stability and visibility, and improve the operation of these networks. In this research, with the aim of reducing electrical losses due to load imbalance, a novel method for network reconfiguration is presented. In this method, by increasing the degrees of freedom of the unbalanced IEEE 906 bus low-voltage reference network through load transfer switches, the optimal network configuration is proposed using a meta-heuristic algorithm to solve this constrained large-scale optimization problem. This algorithm, by carefully examining the effects of variables dependent on electrical losses and utilizing innovative heuristics and optimizations compared to previous studies, demonstrates positive performance in reducing electrical losses and neutral current of the network. This algorithm, with the least number of switching operations throughout the day, achieves a unique approach among similar scientific articles. The efficiency of the proposed algorithm has been fully proven using a combined simulation in MATLAB and OpenDSS software. The dynamic selection of variables dependent on electrical losses as the feedback signal of the control system and the determination of the optimal threshold accordingly, has resulted in a 7% reduction in average electrical losses and a 22% reduction in average neutral current of the network compared to the reference case. The application of the results of this paper will be an important step towards the operationalization of this idea and its use in the real world.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70072","citationCount":"0","resultStr":"{\"title\":\"A Novel Approach for Mitigating Electrical Losses and Current Unbalance in Low Voltage Distribution Networks\",\"authors\":\"Pooya Najafi Zanjani, Shahram Javadi, Mahmood Hosseini Aliabadi, Gevork B. Gharehpetian\",\"doi\":\"10.1049/gtd2.70072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The use of advanced technologies in smart electrical grids has created new opportunities to reduce losses, increase stability and visibility, and improve the operation of these networks. In this research, with the aim of reducing electrical losses due to load imbalance, a novel method for network reconfiguration is presented. In this method, by increasing the degrees of freedom of the unbalanced IEEE 906 bus low-voltage reference network through load transfer switches, the optimal network configuration is proposed using a meta-heuristic algorithm to solve this constrained large-scale optimization problem. This algorithm, by carefully examining the effects of variables dependent on electrical losses and utilizing innovative heuristics and optimizations compared to previous studies, demonstrates positive performance in reducing electrical losses and neutral current of the network. This algorithm, with the least number of switching operations throughout the day, achieves a unique approach among similar scientific articles. The efficiency of the proposed algorithm has been fully proven using a combined simulation in MATLAB and OpenDSS software. The dynamic selection of variables dependent on electrical losses as the feedback signal of the control system and the determination of the optimal threshold accordingly, has resulted in a 7% reduction in average electrical losses and a 22% reduction in average neutral current of the network compared to the reference case. The application of the results of this paper will be an important step towards the operationalization of this idea and its use in the real world.</p>\",\"PeriodicalId\":13261,\"journal\":{\"name\":\"Iet Generation Transmission & Distribution\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70072\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iet Generation Transmission & Distribution\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70072\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Generation Transmission & Distribution","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70072","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Novel Approach for Mitigating Electrical Losses and Current Unbalance in Low Voltage Distribution Networks
The use of advanced technologies in smart electrical grids has created new opportunities to reduce losses, increase stability and visibility, and improve the operation of these networks. In this research, with the aim of reducing electrical losses due to load imbalance, a novel method for network reconfiguration is presented. In this method, by increasing the degrees of freedom of the unbalanced IEEE 906 bus low-voltage reference network through load transfer switches, the optimal network configuration is proposed using a meta-heuristic algorithm to solve this constrained large-scale optimization problem. This algorithm, by carefully examining the effects of variables dependent on electrical losses and utilizing innovative heuristics and optimizations compared to previous studies, demonstrates positive performance in reducing electrical losses and neutral current of the network. This algorithm, with the least number of switching operations throughout the day, achieves a unique approach among similar scientific articles. The efficiency of the proposed algorithm has been fully proven using a combined simulation in MATLAB and OpenDSS software. The dynamic selection of variables dependent on electrical losses as the feedback signal of the control system and the determination of the optimal threshold accordingly, has resulted in a 7% reduction in average electrical losses and a 22% reduction in average neutral current of the network compared to the reference case. The application of the results of this paper will be an important step towards the operationalization of this idea and its use in the real world.
期刊介绍:
IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix.
The scope of IET Generation, Transmission & Distribution includes the following:
Design of transmission and distribution systems
Operation and control of power generation
Power system management, planning and economics
Power system operation, protection and control
Power system measurement and modelling
Computer applications and computational intelligence in power flexible AC or DC transmission systems
Special Issues. Current Call for papers:
Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf