{"title":"Impact of D-STATCOM and OLTC with Integrated Volt/var Control in Distribution System for Power Loss Minimization and Voltage Control","authors":"Bharat Singh, A. Kumar Sharma","doi":"10.1080/23080477.2022.2074657","DOIUrl":null,"url":null,"abstract":"ABSTRACT Voltage control and power loss minimization are some of the crucial issues in distribution system energy management. Finding the best strategy for Voltage control and power loss reduction is a critical task for the distribution network operator (DNO). The main contributions of the proposed work are (i) determination of size and location of the Distribution Static Synchronous Compensator (DSTATCOM) with (OLTC). (ii) to minimize the power loss and Voltage deviation with the Volt/var control strategy. (iii) To obtain the impact of single and multiple D-STATCOM units with and without OLTC. The proposed method is tested on two test systems: (i) IEEE-69 RDS and (ii) IEEE-25 bus three-phase unbalanced system. The benefits of the proposed results are addressed in the reduction of power loss, enhancement of the Voltage profile, and the annual cost of saving for the DNO. The results are tabulated, verified, and compared with other methods. The power loss is reduced to 39.25%, 38.04% for 69 bus and 25 bus test systems. The minimum Voltage profile is enhanced from 0.90918 pu to 0.9619 pu for 69 bus RDS and from 0.922559 pu to 0.9747 pu for 25 bus three-phase system.","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2022.2074657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT Voltage control and power loss minimization are some of the crucial issues in distribution system energy management. Finding the best strategy for Voltage control and power loss reduction is a critical task for the distribution network operator (DNO). The main contributions of the proposed work are (i) determination of size and location of the Distribution Static Synchronous Compensator (DSTATCOM) with (OLTC). (ii) to minimize the power loss and Voltage deviation with the Volt/var control strategy. (iii) To obtain the impact of single and multiple D-STATCOM units with and without OLTC. The proposed method is tested on two test systems: (i) IEEE-69 RDS and (ii) IEEE-25 bus three-phase unbalanced system. The benefits of the proposed results are addressed in the reduction of power loss, enhancement of the Voltage profile, and the annual cost of saving for the DNO. The results are tabulated, verified, and compared with other methods. The power loss is reduced to 39.25%, 38.04% for 69 bus and 25 bus test systems. The minimum Voltage profile is enhanced from 0.90918 pu to 0.9619 pu for 69 bus RDS and from 0.922559 pu to 0.9747 pu for 25 bus three-phase system.
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials