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Improving frequency regulation ability for a wind-thermal power system by multi-objective optimized sliding mode control design

Author

Listed:
  • Li, Xuehan
  • Wang, Wei
  • Ye, Lingling
  • Ren, Guorui
  • Fang, Fang
  • Liu, Jizhen
  • Chen, Zhe
  • Zhou, Qiang

Abstract

Enhancing the frequency response ability of the wind-thermal coordinated load frequency control system is an effective means to maintain the stability of the grid frequency and improve the flexibility of the new power system. Thus, this paper designs a cascaded extended state observer sliding mode control (CE-SMC) method based on the osprey-dung beetle fusion optimization algorithm and applies it to the wind-thermal coordinated system to improve the frequency regulation performance of the system. Firstly, cascaded extended state observers are utilized to accurately estimate the combined effects of parameter uncertainties and internal and external disturbances in the system and compensated by sliding mode controller in real time, which helps the system to achieve fast frequency regulation. Secondly, the osprey-dung beetle fusion optimization algorithm is employed to optimize the parameters of CE-SMC. Moreover, a multi-objective function including the frequency regulation performance, thermal power unit output smoothness, carbon emission and economy is constructed to guide the power system to operate at the utopian point of flexibility, economy and low carbon. The control scheme effectively combines the features of fast frequency response, robust immunity and accurate parameter tuning. Finally, simulations are carried out in different load disturbances and various wind power penetration rates. Results show that the CE-SMC scheme can effectively improve the frequency response ability of the system while taking into account energy saving and emission reduction. Compared with integral sliding mode control, the frequency regulation performance is improved by 20.99 %, the output stability of thermal power unit is improved by 19.31 %, the power generation cost is reduced by 1.88 % and the carbon emission is reduced by 2.16 % in single load perturbation. As such, the CE-SMC algorithm provides a practical reference for the flexible, low-carbon and economic operation of new power system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:300:y:2024:i:c:s0360544224013082
    DOI: 10.1016/j.energy.2024.131535
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    as
    1. Wang, Yao & Yu, Haitao & Niu, Shuangxia & Gu, Juping & Liu, Yulei & Cheng, Fan & Xia, Tao & Zhang, Wei, 2024. "Adaptive observer-based current constraint control for electric vehicle used PMSM," Applied Energy, Elsevier, vol. 360(C).
    2. Teng, Qingfang & Liu, Xuheng & Mai, Hao & Xing, Ke & Li, Mingxin & Ma, Xiping & Wang, Yanbo, 2023. "Nonsingular fast terminal sliding mode control for two-stage converters of AC island photovoltaic microgrid," Applied Energy, Elsevier, vol. 352(C).
    3. Miranda, Rodolfo Farías & Salgado-Herrera, Nadia Maria & Rodríguez-Hernández, Osvaldo & Rodríguez-Rodríguez, Juan Ramon & Robles, Miguel & Ruiz-Robles, Dante & Venegas-Rebollar, Vicente, 2022. "Distributed generation in low-voltage DC systems by wind energy in the Baja California Peninsula, Mexico," Energy, Elsevier, vol. 242(C).
    4. Hou, Guolian & Huang, Ting & Huang, Congzhi, 2023. "Flexibility improvement of 1000 MW ultra-supercritical unit under full operating conditions by error-based ADRC and fast pigeon-inspired optimizer," Energy, Elsevier, vol. 270(C).
    5. Zhao, Zhigao & Yang, Jiandong & Chung, C.Y. & Yang, Weijia & He, Xianghui & Chen, Man, 2021. "Performance enhancement of pumped storage units for system frequency support based on a novel small signal model," Energy, Elsevier, vol. 234(C).
    6. Li, Zifeng & Guo, Litao & Yu, Samson S. & Zhang, Mingli & Ren, Yupeng & Zhang, Na & Li, Weidong, 2023. "An efficient full-response analytical model for probabilistic production simulation in fast frequency response reserve planning," Energy, Elsevier, vol. 273(C).
    7. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky, 2024. "Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid," Energy, Elsevier, vol. 293(C).
    8. Oshnoei, Soroush & Aghamohammadi, Mohammad Reza & Oshnoei, Siavash & Sahoo, Subham & Fathollahi, Arman & Khooban, Mohammad Hasan, 2023. "A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control," Applied Energy, Elsevier, vol. 343(C).
    9. Jiao, Shan & Chong, Guoshuang & Huang, Changcheng & Hu, Hanqing & Wang, Mingjing & Heidari, Ali Asghar & Chen, Huiling & Zhao, Xuehua, 2020. "Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models," Energy, Elsevier, vol. 203(C).
    10. 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).
    11. Li, Ruiheng & Tian, Hao & Di, Yi & Hossain, Sarmistha, 2024. "Nonlinear simulating of the Proton Exchange Membrane Fuel Cells utilizing Ridgelet Neural Network optimized using a hybrid form of Northern Goshawk Optimizer," Applied Energy, Elsevier, vol. 360(C).
    12. Javaid, Usman & Mehmood, Adeel & Iqbal, Jamshed & Uppal, Ali Arshad, 2023. "Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies," Energy, Elsevier, vol. 269(C).
    13. Chen, Guanpeng & Jiang, Yue & Tang, Yuanjiang & Xu, Xiaojun, 2023. "Pitch stability control of variable wheelbase 6WID unmanned ground vehicle considering tire slip energy loss and energy-saving suspension control," Energy, Elsevier, vol. 264(C).
    14. 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).
    15. Hong, Feng & Ji, Weiming & Pang, Yalei & Hao, Junhong & Du, Ming & Fang, Fang & Liu, Jizhen, 2023. "A new energy state-based modeling and performance assessment method for primary frequency control of thermal power plants," Energy, Elsevier, vol. 276(C).
    16. Wang, Huilong & Wang, Shengwei & Shan, Kui, 2020. "Experimental study on the dynamics, quality and impacts of using variable-speed pumps in buildings for frequency regulation of smart power grids," Energy, Elsevier, vol. 199(C).
    17. Wu, Zhou & Zeng, Shaoxiong & Jiang, Ruiqi & Zhang, Haoran & Yang, Zhile, 2023. "Explainable temporal dependence in multi-step wind power forecast via decomposition based chain echo state networks," Energy, Elsevier, vol. 270(C).
    18. Yang, Tingting & Liu, Ziyuan & Zeng, Deliang & Zhu, Yansong, 2023. "Simulation and evaluation of flexible enhancement of thermal power unit coupled with flywheel energy storage array," Energy, Elsevier, vol. 281(C).
    19. Hou, Guolian & Huang, Ting & Zheng, Fumeng & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2023. "Application of multi-agent EADRC in flexible operation of combined heat and power plant considering carbon emission and economy," Energy, Elsevier, vol. 263(PB).
    20. Lu, Nianci & Pan, Lei & Pedersen, Simon & Arabkoohsar, Ahmad, 2023. "A two-dimensional design and synthesis method for coordinated control of flexible-operational combined cycle of gas turbine," Energy, Elsevier, vol. 284(C).
    21. Zouheyr, Dekali & Lotfi, Baghli & Abdelmadjid, Boumediene, 2021. "Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds," Energy, Elsevier, vol. 232(C).
    22. Wang, Sen & Li, Fengting & Zhang, Gaohang & Yin, Chunya, 2023. "Analysis of energy storage demand for peak shaving and frequency regulation of power systems with high penetration of renewable energy," Energy, Elsevier, vol. 267(C).
    23. Wen, Shizhao & Wang, Hongzeng & Qian, Jinhua & Men, Xuanyu, 2023. "A novel combined model based on echo state network optimized by whale optimization algorithm for blast furnace gas prediction," Energy, Elsevier, vol. 279(C).
    24. Li, Yanhui & Sun, Kaixuan & Yao, Qi & Wang, Lin, 2024. "A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm," Energy, Elsevier, vol. 286(C).
    25. Li, Hongze & Sun, Dongyang & Li, Bingkang & Wang, Xuejie & Zhao, Yihang & Wei, Mengru & Dang, Xiaolu, 2023. "Collaborative optimization of VRB-PS hybrid energy storage system for large-scale wind power grid integration," Energy, Elsevier, vol. 265(C).
    26. Chen, Fengxiang & Chi, Xuncheng & Wei, Wei & Mo, Tiande & Li, Yu, 2023. "Model-based observer for direct methanol fuel cell concentration estimation by using second-order sliding-mode algorithm," Energy, Elsevier, vol. 263(PD).
    27. Cheng, Qi & Wang, Shengwei & Yan, Chengchu, 2017. "Sequential Monte Carlo simulation for robust optimal design of cooling water system with quantified uncertainty and reliability," Energy, Elsevier, vol. 118(C), pages 489-501.
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