Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines DOI Creative Commons
Naladi Ram Babu,

Pamarthi Sunitha,

Ganesh Pardhu B. S. S.

и другие.

Engineering Reports, Год журнала: 2025, Номер 7(5)

Опубликована: Май 1, 2025

ABSTRACT As renewable energy sources (RES) are increasingly unified into multiarea power systems, automatic generation control (AGC) faces challenges such as frequency instability, longer settling times, and higher overshoot. While existing optimization techniques like Firefly (FF) gray wolf (GW) suffer from slow convergence local optima trapping, conventional controllers FOPI, PIDN, TIDN, TIDDN struggle to maintain stability under fluctuating load conditions. Fractional‐Order Proportional‐Integral with Tilt Integral Double Derivative Filter (FOPI‐TIDDN), a novel cascade controller optimized using the crow search (CS) algorithm, is proposed in this paper overcome these issues. Furthermore, two‐area AGC framework incorporates realistic dish‐Stirling solar thermal systems (RDSTS) parabolic trough plants (PTSTP), effects of examined different patterns insolation. Additionally, study assesses how high voltage direct current (HVDC) tie‐lines contribute increased system stability. According simulation data, FOPI‐TIDDN works noticeably better than others terms improved regulation, faster time, less Compared FF GW approaches, CS algorithm guarantees convergence. An ideal fixed‐random insolation method HVDC integration also improve performance. The suggested enhances renewable‐integrated systems' resilience, efficiency,

Язык: Английский

Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines DOI Creative Commons
Naladi Ram Babu,

Pamarthi Sunitha,

Ganesh Pardhu B. S. S.

и другие.

Engineering Reports, Год журнала: 2025, Номер 7(5)

Опубликована: Май 1, 2025

ABSTRACT As renewable energy sources (RES) are increasingly unified into multiarea power systems, automatic generation control (AGC) faces challenges such as frequency instability, longer settling times, and higher overshoot. While existing optimization techniques like Firefly (FF) gray wolf (GW) suffer from slow convergence local optima trapping, conventional controllers FOPI, PIDN, TIDN, TIDDN struggle to maintain stability under fluctuating load conditions. Fractional‐Order Proportional‐Integral with Tilt Integral Double Derivative Filter (FOPI‐TIDDN), a novel cascade controller optimized using the crow search (CS) algorithm, is proposed in this paper overcome these issues. Furthermore, two‐area AGC framework incorporates realistic dish‐Stirling solar thermal systems (RDSTS) parabolic trough plants (PTSTP), effects of examined different patterns insolation. Additionally, study assesses how high voltage direct current (HVDC) tie‐lines contribute increased system stability. According simulation data, FOPI‐TIDDN works noticeably better than others terms improved regulation, faster time, less Compared FF GW approaches, CS algorithm guarantees convergence. An ideal fixed‐random insolation method HVDC integration also improve performance. The suggested enhances renewable‐integrated systems' resilience, efficiency,

Язык: Английский

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