{"title":"火电厂运行参数并联控制策略研究","authors":"Junyu Cai, Jian Gao, Baozhu Zhou, Tianyu Wang, Junwei Song, Delei Wang, Chen Zeng, Deheng Ji","doi":"10.1109/DTPI55838.2022.9998955","DOIUrl":null,"url":null,"abstract":"The operation of thermal power plant generating units is complicated, and the operators cannot comprehensively and accurately monitor units' operation. The model is used to determine the upper and lower thresholds of each index under different operating conditions, and the operation of each index is monitored in real-time in the parallel intelligent monitoring system and synchronized to the physical power generation system. The experimental results show that each index's upper and lower thresholds under different working conditions can change dynamically according to the actual business scenarios of the generating units. It effectively reduces the false alarm rate of the system, captures the abnormal moments of the indexes, realizes the continuous optimization of the unit operation process, reduces the operators' workload and improves the units' safety and economy.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on parallel control strategy of thermal power plant operating parameters\",\"authors\":\"Junyu Cai, Jian Gao, Baozhu Zhou, Tianyu Wang, Junwei Song, Delei Wang, Chen Zeng, Deheng Ji\",\"doi\":\"10.1109/DTPI55838.2022.9998955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The operation of thermal power plant generating units is complicated, and the operators cannot comprehensively and accurately monitor units' operation. The model is used to determine the upper and lower thresholds of each index under different operating conditions, and the operation of each index is monitored in real-time in the parallel intelligent monitoring system and synchronized to the physical power generation system. The experimental results show that each index's upper and lower thresholds under different working conditions can change dynamically according to the actual business scenarios of the generating units. It effectively reduces the false alarm rate of the system, captures the abnormal moments of the indexes, realizes the continuous optimization of the unit operation process, reduces the operators' workload and improves the units' safety and economy.\",\"PeriodicalId\":409822,\"journal\":{\"name\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DTPI55838.2022.9998955\",\"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 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on parallel control strategy of thermal power plant operating parameters
The operation of thermal power plant generating units is complicated, and the operators cannot comprehensively and accurately monitor units' operation. The model is used to determine the upper and lower thresholds of each index under different operating conditions, and the operation of each index is monitored in real-time in the parallel intelligent monitoring system and synchronized to the physical power generation system. The experimental results show that each index's upper and lower thresholds under different working conditions can change dynamically according to the actual business scenarios of the generating units. It effectively reduces the false alarm rate of the system, captures the abnormal moments of the indexes, realizes the continuous optimization of the unit operation process, reduces the operators' workload and improves the units' safety and economy.