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Dataset for: Artificial Intelligence-Based Online Control Scheme for the Regulations of Interconnected Thermal Power Systems

2023
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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...

Bibliographic Details

Orka, Nabil Anan; Muhaimin, Sheikh Samit; Shahi, Md. Nazmush Shakib; Ahmed, Ashik

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