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Application of Generation Adequacy Analysis for Reliability Evaluation of a Floating Production Storage and Offloading Platform Power System

Author

Listed:
  • Patricio F. Castro

    (Petróleo Brasileiro S.A., Rio de Janeiro 20231-030, Brazil
    Department of Electrical Engineering, Federal University of Paraíba (UFPB), João Pessoa 58051-900, Brazil
    These authors contributed equally to this work.)

  • Yuri Percy M. Rodriguez

    (Department of Electrical Engineering, Federal University of Paraíba (UFPB), João Pessoa 58051-900, Brazil
    These authors contributed equally to this work.)

  • Fabricio B. S. Carvalho

    (Department of Electrical Engineering, Federal University of Paraíba (UFPB), João Pessoa 58051-900, Brazil
    These authors contributed equally to this work.)

Abstract

This paper proposes the application of generation adequacy analysis for reliability evaluation of an insulated power generation system that supplies a FPSO (Floating Production Storage and Offloading) oil and gas production platform. The frequency and duration method was adopted for generating system reliability evaluation. The historical reliability data of the floating production storage and offloading platform power system and the continuous Markov process are used to determine the generator’s reliability model. The load model was also based on the platform daily peak load variation curve. The system risk indexes were obtained using Monte Carlo simulation. Two system scenarios were simulated using different failure data for one of the generators and the software PowerFactory © has been used as a tool for this simulation. For a complete generation system modeling, frequency and duration methods were developed to calculate the probabilities, frequencies and duration of the system states. Numerical results are presented and discussed to demonstrate the applicability of the proposed method.

Suggested Citation

  • Patricio F. Castro & Yuri Percy M. Rodriguez & Fabricio B. S. Carvalho, 2022. "Application of Generation Adequacy Analysis for Reliability Evaluation of a Floating Production Storage and Offloading Platform Power System," Energies, MDPI, vol. 15(15), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5336-:d:869512
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    References listed on IDEAS

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    1. Jun Guan & Wei Du & Xiuli Wang & Xianjue Luo & Xingyang Liu & Xue Li, 2021. "A Reliability Evaluation Method for Independent Small Offshore Electric Systems," Energies, MDPI, vol. 14(11), pages 1-21, May.
    2. Martin Onyeka Okoye & Junyou Yang & Zhenjiang Lei & Jingwei Yuan & Huichao Ji & Haixin Wang & Jiawei Feng & Tunmise Ayode Otitoju & Weidong Li, 2020. "Predictive Reliability Assessment of Generation System," Energies, MDPI, vol. 13(17), pages 1-13, August.
    3. Kofi Afrifa Agyeman & Ryota Umezawa & Sekyung Han, 2020. "Frequency Performance Distribution Index for Short-Term System Frequency Reliability Forecast Considering Renewable Energy Integration," Energies, MDPI, vol. 13(11), pages 1-17, June.
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    Cited by:

    1. Joseph Akpan & Oludolapo Olanrewaju, 2023. "Towards a Common Methodology and Modelling Tool for 100% Renewable Energy Analysis: A Review," Energies, MDPI, vol. 16(18), pages 1-42, September.

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