Biplav Choudhury, Ardavan Mohammadhassani, Brady Alexander, Rahul Iyer, Ali Mehrizi-Sani, Jeffrey H. Reed, Vijay K. Shah
{"title":"使用基于 AoI 的 5G 调度器协调基于逆变器的微电网中的控制","authors":"Biplav Choudhury, Ardavan Mohammadhassani, Brady Alexander, Rahul Iyer, Ali Mehrizi-Sani, Jeffrey H. Reed, Vijay K. Shah","doi":"10.1049/stg2.12136","DOIUrl":null,"url":null,"abstract":"<p>A coordinated set point automatic adjustment with correction enabled (C-SPAACE) framework that uses 5G communication for real-time control coordination between inverter-based resources (IBR) in microgrids is proposed. Utilising slicing capability, 5G offers low-latency communication to C-SPAACE under normal conditions. However, given the multitude of power grid use cases, a certain 5G slice for C-SPAACE may have access only to limited radio spectrum resources, which if not managed well, greatly undermines the communication needs of C-SPAACE framework. Thus, optimally scheduling the available spectrum resources among IBRs in a sliced 5G network-based C-SPAACE framework becomes a critical problem. To address this issue, the authors utilise a novel age of information (AoI) metric and designs an AoI-based 5G scheduler to provide low-latency communication to C-SPAACE. Following this, a co-simulation environment is designed using PSCAD/EMTDC and Python to simulate a microgrid supported by 5G communication. Time-domain simulation case studies are performed using the proposed co-simulation environment to evaluate the performance of C-SPAACE using 5G with both AoI-based and other baseline (non-AoI) schedulers.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12136","citationCount":"0","resultStr":"{\"title\":\"Control coordination in inverter-based microgrids using AoI-based 5G schedulers\",\"authors\":\"Biplav Choudhury, Ardavan Mohammadhassani, Brady Alexander, Rahul Iyer, Ali Mehrizi-Sani, Jeffrey H. Reed, Vijay K. Shah\",\"doi\":\"10.1049/stg2.12136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A coordinated set point automatic adjustment with correction enabled (C-SPAACE) framework that uses 5G communication for real-time control coordination between inverter-based resources (IBR) in microgrids is proposed. Utilising slicing capability, 5G offers low-latency communication to C-SPAACE under normal conditions. However, given the multitude of power grid use cases, a certain 5G slice for C-SPAACE may have access only to limited radio spectrum resources, which if not managed well, greatly undermines the communication needs of C-SPAACE framework. Thus, optimally scheduling the available spectrum resources among IBRs in a sliced 5G network-based C-SPAACE framework becomes a critical problem. To address this issue, the authors utilise a novel age of information (AoI) metric and designs an AoI-based 5G scheduler to provide low-latency communication to C-SPAACE. Following this, a co-simulation environment is designed using PSCAD/EMTDC and Python to simulate a microgrid supported by 5G communication. Time-domain simulation case studies are performed using the proposed co-simulation environment to evaluate the performance of C-SPAACE using 5G with both AoI-based and other baseline (non-AoI) schedulers.</p>\",\"PeriodicalId\":36490,\"journal\":{\"name\":\"IET Smart Grid\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12136\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Smart Grid\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/stg2.12136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Grid","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/stg2.12136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Control coordination in inverter-based microgrids using AoI-based 5G schedulers
A coordinated set point automatic adjustment with correction enabled (C-SPAACE) framework that uses 5G communication for real-time control coordination between inverter-based resources (IBR) in microgrids is proposed. Utilising slicing capability, 5G offers low-latency communication to C-SPAACE under normal conditions. However, given the multitude of power grid use cases, a certain 5G slice for C-SPAACE may have access only to limited radio spectrum resources, which if not managed well, greatly undermines the communication needs of C-SPAACE framework. Thus, optimally scheduling the available spectrum resources among IBRs in a sliced 5G network-based C-SPAACE framework becomes a critical problem. To address this issue, the authors utilise a novel age of information (AoI) metric and designs an AoI-based 5G scheduler to provide low-latency communication to C-SPAACE. Following this, a co-simulation environment is designed using PSCAD/EMTDC and Python to simulate a microgrid supported by 5G communication. Time-domain simulation case studies are performed using the proposed co-simulation environment to evaluate the performance of C-SPAACE using 5G with both AoI-based and other baseline (non-AoI) schedulers.