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A robust heat recovery steam generator drum level control for wide range operation flexibility considering renewable energy integration

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  • Sunil, P.U.
  • Barve, Jayesh
  • Nataraj, P.S.V.

Abstract

This paper focuses on improving the performance of boiler drum level control over a wide range of operation envelopes for the smooth integration of renewable energy. The Quantitative Feedback Theory (QFT) approach is used to design robust control systems for improving the boiler drum level dynamics over a wide operating range. A case study is performed on a heat recovery steam generator (HRSG) type boiler from a combined cycle power plant (CCPP). The wide range of HRSG operation is enveloped between hot and cold start-up profiles of the CCCP. The nonlinear dynamics of boiler drum level over this operation envelop is modelled in terms of linear models with parametric variations. A robust three-element QFT control system is then proposed, designed, and validated on the nonlinear model via simulations. The proposed robust control system is compared for its performance with the existing conventional three-element control scheme. Comparative analysis of the control results show that the proposed robust control gives much superior performance over the existing conventional control – the proposed robust control reduces the control errors by as much as 77% with similar control effort. Thus, the proposed robust control seems to be highly promising in real-world boiler drum level control applications.

Suggested Citation

  • Sunil, P.U. & Barve, Jayesh & Nataraj, P.S.V., 2018. "A robust heat recovery steam generator drum level control for wide range operation flexibility considering renewable energy integration," Energy, Elsevier, vol. 163(C), pages 873-893.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:873-893
    DOI: 10.1016/j.energy.2018.08.167
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    References listed on IDEAS

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    1. Sunil, P.U. & Barve, Jayesh & Nataraj, P.S.V., 2017. "Mathematical modeling, simulation and validation of a boiler drum: Some investigations," Energy, Elsevier, vol. 126(C), pages 312-325.
    2. Boukelia, T.E. & Arslan, O. & Mecibah, M.S., 2017. "Potential assessment of a parabolic trough solar thermal power plant considering hourly analysis: ANN-based approach," Renewable Energy, Elsevier, vol. 105(C), pages 324-333.
    3. Eser, Patrick & Singh, Antriksh & Chokani, Ndaona & Abhari, Reza S., 2016. "Effect of increased renewables generation on operation of thermal power plants," Applied Energy, Elsevier, vol. 164(C), pages 723-732.
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    Cited by:

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