Nonlinear finite-set control of clean energy systems with nuclear power application
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DOI: 10.1016/j.energy.2024.133773
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- He, Ruiyang & Yang, Hongxing & Lu, Lin, 2023. "Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control," Applied Energy, Elsevier, vol. 337(C).
- Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2017. "Model-free adaptive control law for nuclear superheated-steam supply systems," Energy, Elsevier, vol. 135(C), pages 53-67.
- Zhao, Chengxuan & Yang, Xiao & Yu, Jie & Yang, Minghan & Wang, Jianye & Chen, Shuai, 2023. "Interval type-2 fuzzy logic control for a space nuclear reactor core power system," Energy, Elsevier, vol. 280(C).
- Yunlong Zhu & Zhe Dong & Xiaojin Huang & Yujie Dong & Yajun Zhang & Zuoyi Zhang, 2022. "Passivity-Based Power-Level Control of Nuclear Reactors," Energies, MDPI, vol. 15(14), pages 1-11, July.
- Rosini, A. & Procopio, R. & Bonfiglio, A. & Incremona, G.P. & Ferrara, A., 2022. "A Decentralized Higher Order Sliding Mode Control for Islanded Photovoltaic-Storage Systems," Energy, Elsevier, vol. 255(C).
- Mazare, Mahmood, 2024. "Adaptive optimal secure wind power generation control for variable speed wind turbine systems via reinforcement learning," Applied Energy, Elsevier, vol. 353(PA).
- Li, Xuehan & Wang, Wei & Ye, Lingling & Ren, Guorui & Fang, Fang & Liu, Jizhen & Chen, Zhe & Zhou, Qiang, 2024. "Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design," Energy, Elsevier, vol. 300(C).
- Singh, Rajesh & Kumar, Suresh & Gehlot, Anita & Pachauri, Rupendra, 2018. "An imperative role of sun trackers in photovoltaic technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3263-3278.
- Kadoche, Elie & Gourvénec, Sébastien & Pallud, Maxime & Levent, Tanguy, 2023. "MARLYC: Multi-Agent Reinforcement Learning Yaw Control," Renewable Energy, Elsevier, vol. 217(C).
- Moodi, Hoda & Bustan, Danyal, 2019. "Wind turbine control using T-S systems with nonlinear consequent parts," Energy, Elsevier, vol. 172(C), pages 922-931.
- Satué, Manuel G. & Castaño, Fernando & Ortega, Manuel G. & Rubio, Francisco R., 2020. "Power feedback strategy based on efficiency trajectory analysis for HCPV sun tracking," Renewable Energy, Elsevier, vol. 161(C), pages 65-76.
- Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
- López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
- Xie, Jingjie & Dong, Hongyang & Zhao, Xiaowei, 2023. "Data-driven torque and pitch control of wind turbines via reinforcement learning," Renewable Energy, Elsevier, vol. 215(C).
- Zhe Dong & Zhonghua Cheng & Yunlong Zhu & Xiaojin Huang & Yujie Dong & Zuoyi Zhang, 2023. "Review on the Recent Progress in Nuclear Plant Dynamical Modeling and Control," Energies, MDPI, vol. 16(3), pages 1-19, February.
- Hui, Jiuwu, 2024. "Discrete-time integral terminal sliding mode load following controller coupled with disturbance observer for a modular high-temperature gas-cooled reactor," Energy, Elsevier, vol. 292(C).
- Elkadeem, Mohamed R. & Kotb, Kotb M. & Abido, Mohamed A. & Hasanien, Hany M. & Atiya, Eman G. & Almakhles, Dhafer & Elmorshedy, Mahmoud F., 2024. "Techno-enviro-socio-economic design and finite set model predictive current control of a grid-connected large-scale hybrid solar/wind energy system: A case study of Sokhna Industrial Zone, Egypt," Energy, Elsevier, vol. 289(C).
- Yu, Dongmin & Zhu, Haoming & Han, Wenqi & Holburn, Daniel, 2019. "Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system," Energy, Elsevier, vol. 173(C), pages 554-568.
- Song, Dongran & Li, Ziqun & Wang, Lei & Jin, Fangjun & Huang, Chaoneng & Xia, E. & Rizk-Allah, Rizk M. & Yang, Jian & Su, Mei & Joo, Young Hoon, 2022. "Energy capture efficiency enhancement of wind turbines via stochastic model predictive yaw control based on intelligent scenarios generation," Applied Energy, Elsevier, vol. 312(C).
- Achkari, O. & El Fadar, A. & Amlal, I. & Haddi, A. & Hamidoun, M. & Hamdoune, S., 2021. "A new sun-tracking approach for energy saving," Renewable Energy, Elsevier, vol. 169(C), pages 820-835.
- Cui, Chengcheng & Zhang, Junli & Shen, Jiong, 2023. "System-level modeling, analysis and coordinated control design for the pressurized water reactor nuclear power system," Energy, Elsevier, vol. 283(C).
- Dai, Juchuan & He, Tao & Li, Mimi & Long, Xin, 2021. "Performance study of multi-source driving yaw system for aiding yaw control of wind turbines," Renewable Energy, Elsevier, vol. 163(C), pages 154-171.
- Hui, Jiuwu & Lee, Yi-Kuen & Yuan, Jingqi, 2023. "ESO-based adaptive event-triggered load following control design for a pressurized water reactor with samarium–promethium dynamics," Energy, Elsevier, vol. 271(C).
- Abouzeid, M., 2001. "Use of a reluctance stepper motor for solar tracking based on a programmable logic array (PLA) controller," Renewable Energy, Elsevier, vol. 23(3), pages 551-560.
- Hui, Jiuwu & Yuan, Jingqi, 2022. "Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques," Energy, Elsevier, vol. 241(C).
- Duong, Minh Quan & Grimaccia, Francesco & Leva, Sonia & Mussetta, Marco & Ogliari, Emanuele, 2014. "Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system," Renewable Energy, Elsevier, vol. 70(C), pages 197-203.
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Keywords
Clean energy system; Finite-set control; Nuclear power;All these keywords.
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