Md. Rahat Khan , Abid Hossain Khan , Ying Yin Tsui , Md. Zahurul Islam
{"title":"基于最优PID控制器的核能-可再生能源混合电力系统自动发电控制","authors":"Md. Rahat Khan , Abid Hossain Khan , Ying Yin Tsui , Md. Zahurul Islam","doi":"10.1016/j.anucene.2025.111874","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the Automatic Generation Control (AGC) of a nuclear-renewable hybrid power system using optimized PID controllers combined with Superconducting Magnetic Energy Storage (SMES). The system is modeled in MATLAB Simulink using state-of-the-art transfer functions, with the pressurized water reactor (PWR) simulated using a point kinetics model to accurately capture dynamic behavior. Six load variation scenarios involving changes of 100–200 MW in the NPP and 5–20 MW in the renewables are analyzed to assess system stability. Optimization algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Grey Wolf Optimizer (GWO) are employed to fine-tune the PID gains. The results show improved frequency control: the NPP stays within 49.99–50.14 Hz, an improvement over the previous range of 49.97–50.48 Hz, while the renewables stabilize at 49.99–50.05 Hz, a significant improvement from 46.98–72.30 Hz. These findings confirm improved grid stability and control during sudden load changes.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"226 ","pages":"Article 111874"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic generation control of a nuclear-renewable hybrid power system using optimal PID controller\",\"authors\":\"Md. Rahat Khan , Abid Hossain Khan , Ying Yin Tsui , Md. Zahurul Islam\",\"doi\":\"10.1016/j.anucene.2025.111874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the Automatic Generation Control (AGC) of a nuclear-renewable hybrid power system using optimized PID controllers combined with Superconducting Magnetic Energy Storage (SMES). The system is modeled in MATLAB Simulink using state-of-the-art transfer functions, with the pressurized water reactor (PWR) simulated using a point kinetics model to accurately capture dynamic behavior. Six load variation scenarios involving changes of 100–200 MW in the NPP and 5–20 MW in the renewables are analyzed to assess system stability. Optimization algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Grey Wolf Optimizer (GWO) are employed to fine-tune the PID gains. The results show improved frequency control: the NPP stays within 49.99–50.14 Hz, an improvement over the previous range of 49.97–50.48 Hz, while the renewables stabilize at 49.99–50.05 Hz, a significant improvement from 46.98–72.30 Hz. These findings confirm improved grid stability and control during sudden load changes.</div></div>\",\"PeriodicalId\":8006,\"journal\":{\"name\":\"Annals of Nuclear Energy\",\"volume\":\"226 \",\"pages\":\"Article 111874\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-09-22\",\"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/S0306454925006917\",\"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/S0306454925006917","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}
Automatic generation control of a nuclear-renewable hybrid power system using optimal PID controller
This study investigates the Automatic Generation Control (AGC) of a nuclear-renewable hybrid power system using optimized PID controllers combined with Superconducting Magnetic Energy Storage (SMES). The system is modeled in MATLAB Simulink using state-of-the-art transfer functions, with the pressurized water reactor (PWR) simulated using a point kinetics model to accurately capture dynamic behavior. Six load variation scenarios involving changes of 100–200 MW in the NPP and 5–20 MW in the renewables are analyzed to assess system stability. Optimization algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Grey Wolf Optimizer (GWO) are employed to fine-tune the PID gains. The results show improved frequency control: the NPP stays within 49.99–50.14 Hz, an improvement over the previous range of 49.97–50.48 Hz, while the renewables stabilize at 49.99–50.05 Hz, a significant improvement from 46.98–72.30 Hz. These findings confirm improved grid stability and control during sudden load changes.
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.