{"title":"Conservation Voltage Reduction Technology Yields Sustainable Electrifications: An Exploratory Study on Implementation Capability","authors":"M. Spertip, F. Karbalaei, A. Yazdaninejadi","doi":"10.24200/sci.2023.60769.6979","DOIUrl":null,"url":null,"abstract":"Conservation voltage reduction (CVR) as a readily available technology can easily tackle line congestion besides meeting the energy conservation by a marginal reduction in the voltages of user-end nodes. Although CVR can help to yield clean and sustainable electrifications, application of this technology is limited owing to some unclear technical aspects such as response to industrial loads, load modeling type, and load estimation error. This paper aims at presenting a comprehensive analysis of the CVR process to shed light on the various aspects of this technology for operators who seek to implement it. To this end, CVR process is explored based on load composition on a typical feeder with three zones. Different sizes for active and reactive powers in consumers of those zones are taken into consideration. By doing so, not only CVR process with different load arrangements is explored but also effect of the dominant loads on feeders is unveiled. This study also deals with identifying which load modeling type show better robustness to modeling errors. Moreover, CVR process in the pointed cases are performed with a considerable error on the parameters of load models. The obtained results show that in spite of expectations, CVR may have different outputs.","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":"121 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Iranica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24200/sci.2023.60769.6979","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Conservation voltage reduction (CVR) as a readily available technology can easily tackle line congestion besides meeting the energy conservation by a marginal reduction in the voltages of user-end nodes. Although CVR can help to yield clean and sustainable electrifications, application of this technology is limited owing to some unclear technical aspects such as response to industrial loads, load modeling type, and load estimation error. This paper aims at presenting a comprehensive analysis of the CVR process to shed light on the various aspects of this technology for operators who seek to implement it. To this end, CVR process is explored based on load composition on a typical feeder with three zones. Different sizes for active and reactive powers in consumers of those zones are taken into consideration. By doing so, not only CVR process with different load arrangements is explored but also effect of the dominant loads on feeders is unveiled. This study also deals with identifying which load modeling type show better robustness to modeling errors. Moreover, CVR process in the pointed cases are performed with a considerable error on the parameters of load models. The obtained results show that in spite of expectations, CVR may have different outputs.
期刊介绍:
The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas.
The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.