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Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors

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  • Dong, Zhe
  • Li, Bowen
  • Li, Junyi
  • Huang, Xiaojin
  • Zhang, Zuoyi

Abstract

Online reliability assessment is not only crucial for the safe and stable operation of energy systems but also meaningful for guaranteeing satisfactory economic competitiveness. Due to the system reliability can be determined by the failure-rate and operation time, the central in online reliability assessment of energy systems is the evaluation of failure-rate. Further, it can be seen that the deviations of actual responses of process variables from their expectations reflect the effect of total disturbance, and large deviations usually denote the existence of the degradation of system reliability. Hence, the failure-rate can be evaluated based on the estimation of total disturbance and its differentiation. In this paper, a high-order extended state observer (HO-ESO) is proposed for the nonlinear dissipative system representing typical energy system dynamics, which provides globally bounded observations for not only system state-variables but also the total disturbance and its differentiation. Then, the evaluations of both the failure-rate and the system reliability can be given online based on the estimation provided by the HO-ESO. Further, this HO-ESO-based online reliability assessment method is applied to the health monitoring of pressurized water reactor (PWR). After checking the dissipation condition of PWR, the HO-ESO of PWR is designed, and the simulation results show the feasibility and effectiveness.

Suggested Citation

  • Dong, Zhe & Li, Bowen & Li, Junyi & Huang, Xiaojin & Zhang, Zuoyi, 2022. "Online reliability assessment of energy systems based on a high-order extended-state-observer with application to nuclear reactors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000879
    DOI: 10.1016/j.rser.2022.112159
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    Cited by:

    1. Jia-Qi, Liu & Yun-Wen, Feng & Cheng, Lu & Wei-Huang, Pan, 2024. "Decomposed-coordinated framework with intelligent extremum network for operational reliability analysis of complex system," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
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    3. Hui, Jiuwu & Lee, Yi-Kuen & Yuan, Jingqi, 2023. "Load following control of a PWR with load-dependent parameters and perturbations via fixed-time fractional-order sliding mode and disturbance observer techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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