{"title":"个人计算机上电网实时解耦方法的实现","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":"{\"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}","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}
Implementation of a Real-Time Decoupling Approach for Power Networks on a Personal Computer
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.