Qi Zhang , Jiajun Huang , Wenhao Yu , Siqi Jin , Yulong Wang , Xinyu Wei , Peiwei Sun
{"title":"Research on optimization of steam generator level control in startup process based on intelligent algorithm","authors":"Qi Zhang , Jiajun Huang , Wenhao Yu , Siqi Jin , Yulong Wang , Xinyu Wei , Peiwei Sun","doi":"10.1016/j.anucene.2025.111835","DOIUrl":null,"url":null,"abstract":"<div><div>Automatic steam generator (SG) level control during pressurized water reactor (PWR) startup is crucial for safety. The poor adaptability of fixed-parameter SG level controllers of main feedwater system (TFM), the manual SG level control by auxiliary feedwater system (TFA), and the manual switching between TFA and TFM, have limitations for the startup process automation. An intelligent control scheme is proposed, integrating gain-scheduled proportional-integral-derivative (PID) controller tuning via non-dominated sorting genetic algorithm II and fuzzy logic-based switching scheme. Simulation results demonstrate that the optimized TFM level control scheme reduces the average settling time by 47.3% under load step disturbance conditions, and enhances disturbance rejection. The designed TFA level control system can maintain level stability during startup. The fuzzy controller achieves bumpless switching between systems. The approach reduces average maximum level deviation by 39.2% and average settling time by 13.4% in startup processes, offering a practical solution to enhance PWR automation.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"226 ","pages":"Article 111835"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454925006528","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Automatic steam generator (SG) level control during pressurized water reactor (PWR) startup is crucial for safety. The poor adaptability of fixed-parameter SG level controllers of main feedwater system (TFM), the manual SG level control by auxiliary feedwater system (TFA), and the manual switching between TFA and TFM, have limitations for the startup process automation. An intelligent control scheme is proposed, integrating gain-scheduled proportional-integral-derivative (PID) controller tuning via non-dominated sorting genetic algorithm II and fuzzy logic-based switching scheme. Simulation results demonstrate that the optimized TFM level control scheme reduces the average settling time by 47.3% under load step disturbance conditions, and enhances disturbance rejection. The designed TFA level control system can maintain level stability during startup. The fuzzy controller achieves bumpless switching between systems. The approach reduces average maximum level deviation by 39.2% and average settling time by 13.4% in startup processes, offering a practical solution to enhance PWR automation.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.