Research of digital twin in power system optimization–take offshore platform for example
Research of digital twin in power system optimization–take offshore platform for example
- Author(s): Q. Yu 1 ; A. Li 1 ; Z. Jiang 1 ; Z. Tao 1 ; G. Long 1 ; Y. Liu 1
- DOI: 10.1049/icp.2020.0273
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- Author(s): Q. Yu 1 ; A. Li 1 ; Z. Jiang 1 ; Z. Tao 1 ; G. Long 1 ; Y. Liu 1
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View affiliations
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Affiliations:
1:
State Key Laboratory of Power Systems, Department of Electrical Engineering , Tsinghua University , Beijing , China
Source:
The 16th IET International Conference on AC and DC Power Transmission (ACDC 2020),
2021
p.
1226 – 1229
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Affiliations:
1:
State Key Laboratory of Power Systems, Department of Electrical Engineering , Tsinghua University , Beijing , China
- Conference: The 16th IET International Conference on AC and DC Power Transmission (ACDC 2020)
- DOI: 10.1049/icp.2020.0273
- ISBN: 978-1-83953-330-3
- Location: Online Conference
- Conference date: 02-03 July 2020
- Format: PDF
With more and more data collected in the offshore platform production, the application of digital twins (DT) in the power grid can realize the data feedback to the digital model concurrently, and realize a high degree of uniformity between the prediction model and the actual physical system based on the exchange of data. On this basis, an accurate digital modeling description of the actual physical process can be accomplished, so that the load can be optimized and scheduled more accurately. In this paper, a micro grid of oilfield platforms is taken as the research object. The load forecasting, fault analysis and power system optimization of offshore oilfield platforms is hard in traditional models. This paper uses the (phasor measurement unit) PMU for situation awareness and update actual time data thus the digital model can receive feedback from actual situation. A DT model based on data collected and uploaded by sensors and the PMU is proposed as a digital model on the cloud. On this basis, this loop forms an adaptive and self-learning system which can minimize the forecast error and obtain better optimization. The DT model can make the design and update of offshore oilfield platforms power system easier, as well as cut down the cost of optimization.
Inspec keywords: power grids; optimisation; load forecasting; power engineering computing; phasor measurement; offshore installations; distributed power generation
Subjects: Power system planning and layout; Distributed power generation; Power system measurement and metering; Optimisation techniques; Power engineering computing; Optimisation techniques; Power applications in other industries