Dataset for: Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems
2023
- 111Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage111
- Views94
- Downloads17
Dataset Description
This dataset is an extension to our article titled " Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems." To cite the paper, use: @article{orka2023artificial, title={Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems}, author={Orka, Nabil Anan and Muhaimin, Sheikh Samit and Shahi, Md Nazmush Shakib and Ahmed, Ashik}, journal={Arabian Journal for Science and Engineering}, pages={1--24}, year={2023}, publisher={Springer} } The dataset comprises two CSV files: "linear_thermalthermal" contains optimal PID parameters corresponding to load disturbances in both regions of a two-area interconnected power system (IPS) with non-reheat thermal turbines. "nonlinear_hydrothermal" comprises optimum PID gains corresponding to load perturbations in both regions of a two-area hydrothermal IPS that includes nonlinearities like Generation Rate Constraint (GRC) and Governor Dead Ban...
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