Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang
{"title":"基于振荡特征提取的同步发电机机电参数估计","authors":"Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang","doi":"10.1109/SPIES55999.2022.10082039","DOIUrl":null,"url":null,"abstract":"Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electromechanical Parameters Estimation of a Synchronous Generator Based on the Oscillation Characteristic Extraction\",\"authors\":\"Zhiwei Wang, Xiangyu Lyu, Dexin Li, Shishuai Zhu, Changhong Fu, Bo Wang\",\"doi\":\"10.1109/SPIES55999.2022.10082039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.\",\"PeriodicalId\":412421,\"journal\":{\"name\":\"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIES55999.2022.10082039\",\"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 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES55999.2022.10082039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electromechanical Parameters Estimation of a Synchronous Generator Based on the Oscillation Characteristic Extraction
Accurate estimation of the synchronous generator inertia can provide a reliable basis for the safe and stable operation of the power system. This paper proposes a generator inertia estimation method based on the extraction of electromechanical oscillation characteristic information. The mathematical analytical relationship between inertia and the dynamic characteristics (eigenvalues and eigenvectors) is constructed based on the swing equation. Therefore, the inertia estimation problem is equivalently transformed into an electromechanical oscillation characteristic extraction problem. The oscillation characteristic is extracted by using Dynamic Mode Decomposition (DMD). The framework for estimating generator inertia based on oscillation characteristic is established. The proposed method is simulated and verified by the IEEE4-machine power system. The results show that the proposed method is with high accuracy.