B. Saka, Sadiq Thomas, Y. S. Mohammed, I. D. Inuwa, E. A. Aja, S. Hussein
{"title":"Contingency Analysis of Abuja Transmission Network","authors":"B. Saka, Sadiq Thomas, Y. S. Mohammed, I. D. Inuwa, E. A. Aja, S. Hussein","doi":"10.1109/ICECCO48375.2019.9043269","DOIUrl":null,"url":null,"abstract":"This paper presents the contingency analysis for the Abuja transmission network using DIgSILENT Power Factory software. The contingency analysis showed the results for the worst loading violations from the most severe to the least severe case for both the base case and the case study contingencies. For the base case condition, the most severe continuous loading condition was 200.2% while the least severe continuous loading condition was 93.7%. After the reinforcement of the identified weak section of the network, the security and the stability of the network improved greatly with the most severe continuous loading condition of 138.9% and the least severe continuous loading condition of 80.4%. Contingency analysis for Abuja transmission network was conducted to identify the weakest part of the network and then take measures to ensure the stability of the network.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECCO48375.2019.9043269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents the contingency analysis for the Abuja transmission network using DIgSILENT Power Factory software. The contingency analysis showed the results for the worst loading violations from the most severe to the least severe case for both the base case and the case study contingencies. For the base case condition, the most severe continuous loading condition was 200.2% while the least severe continuous loading condition was 93.7%. After the reinforcement of the identified weak section of the network, the security and the stability of the network improved greatly with the most severe continuous loading condition of 138.9% and the least severe continuous loading condition of 80.4%. Contingency analysis for Abuja transmission network was conducted to identify the weakest part of the network and then take measures to ensure the stability of the network.
本文利用DIgSILENT Power Factory软件对阿布贾输电网进行了事故分析。偶然性分析显示了在基本情况和案例研究的偶然性中，从最严重到最不严重的最严重加载违反情况的结果。在基准工况下，最严重连续加载工况为200.2%，最不严重连续加载工况为93.7%。对识别出的网络薄弱段进行加固后，网络的安全性和稳定性有了较大的提高，最严重连续加载条件为138.9%，最轻微连续加载条件为80.4%。对阿布贾输电网进行了权变分析，找出电网的最薄弱环节，采取措施保证电网的稳定运行。
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
