Research on the monthly power purchase strategy of offshore oilfield platform

After the shore power is connected, the offshore oilfield platform group needs to submit the time-of-use power consumption curve to the power grid company every month for power purchase. Considering the peak-to-valley electricity price characteristics of shore power, the assessment of power deviation, the power generation cost and heat load of the gas turbine of the offshore oil platform group, the wind power generation capacity and its fluctuation, and the time-shift response characteristics of the load, the decision-making optimization model of the pre-month time-of-use power purchase curve of the platform group was constructed. The example verifies the effectiveness of the model based on the actual system, and shows that the power supply cost can be reduced by about 13% by effectively deploying the internal gas unit and the load accordingly, which is a significant benefit.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0395
Citations
2
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
1.06
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article

Research on the monthly power purchase strategy of offshore oilfield platform

Xiaoxiao Qi, Chaochun Ping, Deming Zhao, Delidana Mansuer et al.
2 citations
IET conference proceedings.
Power Systems and Renewable Energy
1.06
article

Research on the monthly power purchase strategy of offshore oilfield platform

Xiaoxiao Qi, Chaochun Ping, Deming Zhao, Delidana Mansuer, Guofeng Liu, Quan Lv, Jianfei Liu
article en
2 citations

Abstract

After the shore power is connected, the offshore oilfield platform group needs to submit the time-of-use power consumption curve to the power grid company every month for power purchase. Considering the peak-to-valley electricity price characteristics of shore power, the assessment of power deviation, the power generation cost and heat load of the gas turbine of the offshore oil platform group, the wind power generation capacity and its fluctuation, and the time-shift response characteristics of the load, the decision-making optimization model of the pre-month time-of-use power purchase curve of the platform group was constructed. The example verifies the effectiveness of the model based on the actual system, and shows that the power supply cost can be reduced by about 13% by effectively deploying the internal gas unit and the load accordingly, which is a significant benefit.

IET conference proceedings.Vol. 2024(33)
Dalian University of Technology (CN)
Openalex Percentile: Top 22%
Power Systems and Renewable Energy
1.06
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