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A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

Author

Listed:
  • Jianzhong Zhou

    (School of Hydropower and Information Engineering, Hubei Key Laboratory of Digital Valley Science and Technology; Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zhigao Zhao

    (School of Hydropower and Information Engineering, Hubei Key Laboratory of Digital Valley Science and Technology; Huazhong University of Science and Technology, Wuhan 430074, China)

  • Chu Zhang

    (School of Hydropower and Information Engineering, Hubei Key Laboratory of Digital Valley Science and Technology; Huazhong University of Science and Technology, Wuhan 430074, China)

  • Chaoshun Li

    (School of Hydropower and Information Engineering, Hubei Key Laboratory of Digital Valley Science and Technology; Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yanhe Xu

    (School of Hydropower and Information Engineering, Hubei Key Laboratory of Digital Valley Science and Technology; Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Model simulation and control of pumped storage unit (PSU) are essential to improve the dynamic quality of power station. Only under the premise of the PSU models reflecting the actual transient process, the novel control method can be properly applied in the engineering. The contributions of this paper are that (1) a real-time accurate equivalent circuit model (RAECM) of PSU via error compensation is proposed to reconcile the conflict between real-time online simulation and accuracy under various operating conditions, and (2) an adaptive predicted fuzzy PID controller (APFPID) based on RAECM is put forward to overcome the instability of conventional control under no-load conditions with low water head. Respectively, all hydraulic factors in pipeline system are fully considered based on equivalent lumped-circuits theorem. The pretreatment, which consists of improved Suter-transformation and BP neural network, and online simulation method featured by two iterative loops are synthetically proposed to improve the solving accuracy of the pump-turbine. Moreover, the modified formulas for compensating error are derived with variable-spatial discretization to improve the accuracy of the real-time simulation further. The implicit RadauIIA method is verified to be more suitable for PSUGS owing to wider stable domain. Then, APFPID controller is constructed based on the integration of fuzzy PID and the model predictive control. Rolling prediction by RAECM is proposed to replace rolling optimization with its computational speed guaranteed. Finally, the simulation and on-site measurements are compared to prove trustworthy of RAECM under various running conditions. Comparative experiments also indicate that APFPID controller outperforms other controllers in most cases, especially low water head conditions. Satisfying results of RAECM have been achieved in engineering and it provides a novel model reference for PSUGS.

Suggested Citation

  • Jianzhong Zhou & Zhigao Zhao & Chu Zhang & Chaoshun Li & Yanhe Xu, 2017. "A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation," Energies, MDPI, vol. 11(1), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:35-:d:124260
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    References listed on IDEAS

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    3. Liu, Baonan & Zhou, Jianzhong & Xu, Yanhe & Lai, Xinjie & Shi, Yousong & Li, Mengyao, 2022. "An optimization decision-making framework for the optimal operation strategy of pumped storage hydropower system under extreme conditions," Renewable Energy, Elsevier, vol. 182(C), pages 254-273.

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