2017
DOI: 10.1049/iet-rpg.2016.0989
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Smart load management of water injection systems in offshore oil and gas platforms integrating wind power

Abstract: Abstract:The high pollution coming from the use of gas turbines in oil and gas (O&G) platforms is calling for more sustainable solutions. One of those is to use wind turbines (WT) to supply power to the water injection systems (WIS) of offshore O&G installations and explore the potential of smart energy management in providing more efficient and green solutions to the O&G sector. The effect of WT integration into the local power system and the coordination with the local gas turbines, need to be carefully anal… Show more

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Cited by 35 publications
(30 citation statements)
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“…Finally, possible stability risks due to electro-mechanical oscillations are addressed in [132] and load management is proposed as a mitigation measure.…”
Section: Distributed Energy Resources (Ders) To Supply Ocean Loadsmentioning
confidence: 99%
“…Finally, possible stability risks due to electro-mechanical oscillations are addressed in [132] and load management is proposed as a mitigation measure.…”
Section: Distributed Energy Resources (Ders) To Supply Ocean Loadsmentioning
confidence: 99%
“…On top of that, stochastic variations are added on the generation side when wind power is integrated. This raises concerns not only about insufficient amount of inertia, but also excessive frequency and voltage variations during operation that might negatively affect the electrical power quality and the GT operation [9,10]. Hence, during the design phase of a wind-powered OOGP, it is important not only to meet the power balance between generation and loads, but also consider system dynamics that may affect voltage and frequency in the electrical grid.…”
Section: Introductionmentioning
confidence: 99%
“…Within this context, the present work investigates power quality issues in an OOGPs operating in islanded mode where the wind turbine is rated at 36% of the GT nominal power. It is an extension of [10], which combines the previously proposed smart load management strategy with an ESS to mitigate the effects of wind variability. For that, the detailed dynamic model presented in this previous work is used as benchmark, extended to include an ESS, and then compared to the proposed simplified dynamic model in Section 4.…”
Section: Introductionmentioning
confidence: 99%
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