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

IF 2.3 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY
Md. Rahat Khan , Abid Hossain Khan , Ying Yin Tsui , Md. Zahurul Islam
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引用次数: 0

摘要

研究了采用优化PID控制器结合超导磁能存储(SMES)的核能-可再生能源混合发电系统的自动发电控制(AGC)。该系统在MATLAB Simulink中使用最先进的传递函数进行建模,并使用点动力学模型对压水堆(PWR)进行模拟,以准确捕获动态行为。分析了核电厂100 - 200mw和可再生能源5 - 20mw的6种负荷变化情景,对系统稳定性进行了评估。采用粒子群算法(PSO)、遗传算法(GA)和灰狼优化器(GWO)等优化算法对PID增益进行微调。结果表明,频率控制得到改善:NPP保持在49.99 ~ 50.14 Hz范围内,比之前的49.97 ~ 50.48 Hz有所改善,而可再生能源稳定在49.99 ~ 50.05 Hz,比46.98 ~ 72.30 Hz有显著改善。这些发现证实了在负荷突然变化时电网稳定性和控制的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Annals of Nuclear Energy
Annals of Nuclear Energy 工程技术-核科学技术
CiteScore
4.30
自引率
21.10%
发文量
632
审稿时长
7.3 months
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.
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