{"title":"Implementation of a Real-Time Decoupling Approach for Power Networks on a Personal Computer","authors":"Rua Taha, Noman Saied, Abdelrahman A. Karrar","doi":"10.1109/td43745.2022.9816897","DOIUrl":null,"url":null,"abstract":"This work presents a method for simulating power networks in real-time on general purpose personal computers. Real-time simulation of power networks is a mature industry, with big players dominating the market. However, the implementation is limited to dedicated high-end hardware and software. This effort benefits the researcher and small-scale user who may wish to explore real-time applications without making a large investment. The approach offers further insight into the workings of real-time computing, in particular parallel processing using methods similar to the published description of the SSN method developed by OPAL-RT. The implementation of the developed method on a PC with multiple cores requires very little resources besides MATLAB/Simulink and a C++ development environment. The method was tested on the IEEE 123 bus system and found to require only three processing cores, where previous attempts on dedicated real-time hardware required five cores.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/td43745.2022.9816897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This work presents a method for simulating power networks in real-time on general purpose personal computers. Real-time simulation of power networks is a mature industry, with big players dominating the market. However, the implementation is limited to dedicated high-end hardware and software. This effort benefits the researcher and small-scale user who may wish to explore real-time applications without making a large investment. The approach offers further insight into the workings of real-time computing, in particular parallel processing using methods similar to the published description of the SSN method developed by OPAL-RT. The implementation of the developed method on a PC with multiple cores requires very little resources besides MATLAB/Simulink and a C++ development environment. The method was tested on the IEEE 123 bus system and found to require only three processing cores, where previous attempts on dedicated real-time hardware required five cores.