Shifa Wu , Yunzhi Chai , Jinrong Jin , Areai Nuerlan , Yizhe Liu , Jiashuang Wan
{"title":"钠冷快堆模型预测控制方法","authors":"Shifa Wu , Yunzhi Chai , Jinrong Jin , Areai Nuerlan , Yizhe Liu , Jiashuang Wan","doi":"10.1016/j.anucene.2025.111416","DOIUrl":null,"url":null,"abstract":"<div><div>Sodium-cooled fast reactor (SFR) is the fourth generation reactor with inherent safety. Due to its non-dissipative characteristics, frequent power changing operation may lead to large power oscillations, which needs more advanced control methods to enhance safety and economic performance of nuclear power plants. Therefore, a Model Predictive Control (MPC) method for the SFR is proposed. The simulation model for the SFR is developed and validated. Then, the MPC method is applied to the overall control, and the MPC model in the form of state space and quadratic programming is introduced for the optimization under system constraints. To verify its performance, 100%–90 %–100 % step, 50 %–60 %–50 % step, and 50 % linear change of load transients are simulated, and compared with the traditional PID method. Results show that main parameters can quickly and stably operate without static error and with reasonable overshoot under the regulation of MPC control system.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"218 ","pages":"Article 111416"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A model predictive control method for sodium-cooled fast reactor\",\"authors\":\"Shifa Wu , Yunzhi Chai , Jinrong Jin , Areai Nuerlan , Yizhe Liu , Jiashuang Wan\",\"doi\":\"10.1016/j.anucene.2025.111416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sodium-cooled fast reactor (SFR) is the fourth generation reactor with inherent safety. Due to its non-dissipative characteristics, frequent power changing operation may lead to large power oscillations, which needs more advanced control methods to enhance safety and economic performance of nuclear power plants. Therefore, a Model Predictive Control (MPC) method for the SFR is proposed. The simulation model for the SFR is developed and validated. Then, the MPC method is applied to the overall control, and the MPC model in the form of state space and quadratic programming is introduced for the optimization under system constraints. To verify its performance, 100%–90 %–100 % step, 50 %–60 %–50 % step, and 50 % linear change of load transients are simulated, and compared with the traditional PID method. Results show that main parameters can quickly and stably operate without static error and with reasonable overshoot under the regulation of MPC control system.</div></div>\",\"PeriodicalId\":8006,\"journal\":{\"name\":\"Annals of Nuclear Energy\",\"volume\":\"218 \",\"pages\":\"Article 111416\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-03\",\"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/S0306454925002336\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454925002336","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}
A model predictive control method for sodium-cooled fast reactor
Sodium-cooled fast reactor (SFR) is the fourth generation reactor with inherent safety. Due to its non-dissipative characteristics, frequent power changing operation may lead to large power oscillations, which needs more advanced control methods to enhance safety and economic performance of nuclear power plants. Therefore, a Model Predictive Control (MPC) method for the SFR is proposed. The simulation model for the SFR is developed and validated. Then, the MPC method is applied to the overall control, and the MPC model in the form of state space and quadratic programming is introduced for the optimization under system constraints. To verify its performance, 100%–90 %–100 % step, 50 %–60 %–50 % step, and 50 % linear change of load transients are simulated, and compared with the traditional PID method. Results show that main parameters can quickly and stably operate without static error and with reasonable overshoot under the regulation of MPC control system.
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.