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Volume 6 Issue 6
Nov.  2019

IEEE/CAA Journal of Automatica Sinica

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Aurobindo Behera, Tapas Kumar Panigrahi, Prakash K. Ray and Arun Kumar Sahoo, "A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1438-1451, Nov. 2019. doi: 10.1109/JAS.2019.1911666
Citation: Aurobindo Behera, Tapas Kumar Panigrahi, Prakash K. Ray and Arun Kumar Sahoo, "A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources," IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 1438-1451, Nov. 2019. doi: 10.1109/JAS.2019.1911666

A Novel Cascaded PID Controller for Automatic Generation Control Analysis With Renewable Sources

doi: 10.1109/JAS.2019.1911666
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  • Present day power scenarios demand a high quality uninterrupted power supply and needs environmental issues to be addressed. Both concerns can be dealt with by the introduction of the renewable sources to the existing power system. Thus, automatic generation control (AGC) with diverse renewable sources and a modified-cascaded controller are presented in the paper. Also, a new hybrid scheme of the improved teaching learning based optimization-differential evolution (hITLBO-DE) algorithm is applied for providing optimization of controller parameters. A study of the system with a technique such as TLBO applied to a proportional integral derivative (PID), integral double derivative (IDD) and PIDD is compared to hITLBO-DE tuned cascaded controller with dynamic load change.The suggested methodology has been extensively applied to a 2-area system with a diverse source power system with various operation time non-linearities such as dead-band of, generation rate constraint and reheat thermal units. The multi-area system with reheat thermal plants, hydel plants and a unit of a wind-diesel combination is tested with the cascaded controller scheme with a different controller setting for each area. The variation of the load is taken within 1% to 5% of the connected load and robustness analysis is shown by modifying essential factors simultaneously by ± 30%. Finally, the proposed scheme of controller and optimization technique is also tested with a 5-equal area thermal system with non-linearities. The simulation results demonstrate the superiority of the proposed controller and algorithm under a dynamically changing load.

     

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    Highlights

    • A 2-area renewable source system and operation time non-linearities have been considered.
    • A modified-cascaded controller has been presented in the paper.
    • The scheme of controller improves the system stability and economics.
    • A novel hybrid scheme of hITLBO-DE algorithm has been developed.
    • The developed algorithm improves the response time of the system with large number of sources.

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