Mengyao Wei , Jiandong Wang , Song Gao , Jie Li , Xiangkun Pang
{"title":"用于火力发电厂发电设备安全和效率监测的运行区模型","authors":"Mengyao Wei , Jiandong Wang , Song Gao , Jie Li , Xiangkun Pang","doi":"10.1016/j.conengprac.2024.106101","DOIUrl":null,"url":null,"abstract":"<div><p>Safe and efficient operations of thermal power plants become increasingly important, especially in compensating for electricity supply fluctuations in renewable energy. This paper proposes a method to build an operating zone model for safety and efficiency monitoring of power generation units in thermal power plants. The operating zone is a high-dimensional geometric space formed by all steady-state operating points in safe conditions of the coal flow rate, steam valve position, steam pressure and active power. Those operating points are obtained based on allowable variation ranges of process variables and mechanistic models describing the relationships among process variables. The main technical challenge is how to measure uncertainties of mechanistic models estimated from historical data disturbed by noticeable measurement noise. Bayesian theory and goodness-of-fit tests are exploited to tackle this challenge by yielding probability density functions of model parameters. A performance index is defined based on the operating zone model to assess the safety and efficiency of power generation units. Industrial case studies at a large-scale thermal power plant are provided to illustrate the effectiveness of the proposed method.</p></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"153 ","pages":"Article 106101"},"PeriodicalIF":5.4000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An operating zone model for safety and efficiency monitoring of power generation units in thermal power plants\",\"authors\":\"Mengyao Wei , Jiandong Wang , Song Gao , Jie Li , Xiangkun Pang\",\"doi\":\"10.1016/j.conengprac.2024.106101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Safe and efficient operations of thermal power plants become increasingly important, especially in compensating for electricity supply fluctuations in renewable energy. This paper proposes a method to build an operating zone model for safety and efficiency monitoring of power generation units in thermal power plants. The operating zone is a high-dimensional geometric space formed by all steady-state operating points in safe conditions of the coal flow rate, steam valve position, steam pressure and active power. Those operating points are obtained based on allowable variation ranges of process variables and mechanistic models describing the relationships among process variables. The main technical challenge is how to measure uncertainties of mechanistic models estimated from historical data disturbed by noticeable measurement noise. Bayesian theory and goodness-of-fit tests are exploited to tackle this challenge by yielding probability density functions of model parameters. A performance index is defined based on the operating zone model to assess the safety and efficiency of power generation units. Industrial case studies at a large-scale thermal power plant are provided to illustrate the effectiveness of the proposed method.</p></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"153 \",\"pages\":\"Article 106101\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Control Engineering Practice\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967066124002600\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066124002600","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
An operating zone model for safety and efficiency monitoring of power generation units in thermal power plants
Safe and efficient operations of thermal power plants become increasingly important, especially in compensating for electricity supply fluctuations in renewable energy. This paper proposes a method to build an operating zone model for safety and efficiency monitoring of power generation units in thermal power plants. The operating zone is a high-dimensional geometric space formed by all steady-state operating points in safe conditions of the coal flow rate, steam valve position, steam pressure and active power. Those operating points are obtained based on allowable variation ranges of process variables and mechanistic models describing the relationships among process variables. The main technical challenge is how to measure uncertainties of mechanistic models estimated from historical data disturbed by noticeable measurement noise. Bayesian theory and goodness-of-fit tests are exploited to tackle this challenge by yielding probability density functions of model parameters. A performance index is defined based on the operating zone model to assess the safety and efficiency of power generation units. Industrial case studies at a large-scale thermal power plant are provided to illustrate the effectiveness of the proposed method.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.