Application of Generation Adequacy Analysis for Reliability Evaluation of a Floating Production Storage and Offloading Platform Power System
Patricio F. Castro,
Yuri Percy M. Rodriguez and
Fabricio B. S. Carvalho
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Patricio F. Castro: Petróleo Brasileiro S.A., Rio de Janeiro 20231-030, Brazil
Yuri Percy M. Rodriguez: Department of Electrical Engineering, Federal University of Paraíba (UFPB), João Pessoa 58051-900, Brazil
Fabricio B. S. Carvalho: Department of Electrical Engineering, Federal University of Paraíba (UFPB), João Pessoa 58051-900, Brazil
Energies, 2022, vol. 15, issue 15, 1-16
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.
Keywords: reliability; generation adequacy; FPSO; frequency and duration method; Markov process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:15:p:5336-:d:869512
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