Enhancing Frequency Stability in Multi-Area Grids with High Penetration of Renewable Energy Sources

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Abstract

The increasing penetration of intermittent and uncertain renewable energy sources presents substantial challenges to frequency stability in modern power systems. This study aims to enhance frequency regulation in a two-area interconnected power system by comparing conventional and optimization-based control strategies. A detailed Load Frequency Control (LFC) model incorporating governor, turbine, generator, and tie-line dynamics was developed to evaluate system responses to load disturbances. Three control schemes were examined: an Integral controller, a conventional Proportional–Integral–Derivative (PID) controller, and a Particle Swarm Optimization (PSO)-tuned PID controller. PSO was used to optimize the PID parameters by minimizing the Integral of Time-Weighted Absolute Error (ITAE). MATLAB/Simulink simulations showed that the Integral controller produced an overshoot of 0.0164, a settling time of 29.22 seconds, and an ITAE value of 2.2190. The conventional PID controller reduced the overshoot and ITAE value to 0.0026 and 0.5194, respectively, although its settling time increased slightly to 29.98 seconds. The PSO-tuned PID controller achieved the best overall performance, with the lowest overshoot (0.0007), fastest settling time (29.21 seconds), and lowest ITAE value (0.0557). These findings demonstrate that PSO-based PID tuning substantially improves damping and reduces frequency deviations following load disturbances. The study contributes a comparative evaluation of control strategies for multi-area frequency regulation and indicates that PSO-tuned PID control is a promising approach for strengthening the dynamic stability of renewable-integrated power systems, although further practical validation is required before full-scale implementation.

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Article Details

How to Cite
Lame, D. Z., Sani, K., & Nazif, D. M. (2026). Enhancing Frequency Stability in Multi-Area Grids with High Penetration of Renewable Energy Sources. Asian Journal of Science, Technology, Engineering, and Art, 4(4), 401-420. https://doi.org/10.58578/ajstea.v4i4.9386

References

Abdelghany, M. A., Syam, F. A., Aly, A. M., Abido, M. A., & Ibrahim, S. O. (2024). Load frequency and virtual inertia control for power system using a fuzzy self-tuned PID controller with high penetration of renewable energy. Journal of Electrical Systems and Information Technology, 11(1), 50. https://doi.org/10.1186/s43067-024-00173-x

Ali, J. S., Qiblawey, Y., Alassi, A., Massoud, A. M., Muyeen, S. M., & Abu-Rub, H. (2025). Power system stability with high penetration of renewable energy sources: Challenges, assessment, and mitigation strategies. IEEE Access, 13, 39912–39934. https://doi.org/10.1109/ACCESS.2025.3546491

Alnefaie, S. A., Alkuhayli, A., & Al-Shaalan, A. M. (2025). Optimizing load frequency control of multi-area power renewable and thermal systems using advanced proportional–integral–derivative controllers and catch fish algorithm. Fractal and Fractional, 9(6), 355. https://doi.org/10.3390/fractalfract9060355

Brahim, R. M. S., M’hamed, H., Taleb, R., Lemrabout, A., Kerboua, A., & Mahmoud, A. (2021). Load frequency control of a hybrid power system using classical PID controller. iKSP Journal of Computer Science and Engineering, 1(1), 32–38. https://iksp.org/journals/index.php/ijcse/article/view/89

Buragohain, A. R., & Das, N. K. (2024). Load frequency control of a single area system using a fuzzy logic controller and comparison with integral and PID controllers. International Journal of Emerging Science and Engineering, 12(10), 7–11. https://doi.org/10.35940/ijese.F4511.12100924

Çavdar, B., Akyazı, Ö., Şahin, E., & Nuroğlu, F. M. (2024). Effect of PV plant on frequency stability in IEEE12 bus system for different penetration levels and depth of frequency support. Arabian Journal for Science and Engineering, 49(12), 15899–15916. https://doi.org/10.1007/s13369-024-08733-z

Daood, O., Najeeb, M., & Ali, I. I. (2024). An efficient load frequency control for multiple power systems using fuzzy logic-proportional integral derivative controller. International Journal of Electrical and Electronics Research, 12(2), 654–661. https://doi.org/10.37391/IJEER.120243

Dev, A., Léchappé, V., & Sarkar, M. K. (2021). Prediction-based super twisting sliding mode load frequency control for multi-area interconnected power systems with state and input time delays using disturbance observer. International Journal of Control, 94(7), 1751–1764. https://doi.org/10.1080/00207179.2019.1673487

Doan, D. V., Nguyen, K., & Thai, Q. V. (2021). A novel fuzzy logic based load frequency control for multi-area interconnected power systems. Engineering, Technology & Applied Science Research, 11(4), 7522–7529. https://doi.org/10.48084/etasr.4320

Elkasem, A. H. A., Kamel, S., Khamies, M., & Nasrat, L. (2024). Frequency regulation in a hybrid renewable power grid: An effective strategy utilizing load frequency control and redox flow batteries. Scientific Reports, 14(1), 9576. https://doi.org/10.1038/s41598-024-58189-2

Hamza, M., Buhari, M., & Sadiq, A. A. (2022). Modified PSO-based virtual inertia controller for optimal frequency regulation of micro-grid. Covenant Journal of Engineering Technology, 6(2), 13–21. https://journals.covenantuniversity.edu.ng/index.php/cjet/article/view/3020

Masikana, S. B., Sharma, G., & Sharma, S. (2024). Renewable energy sources integrated load frequency control of power system: A review. e-Prime—Advances in Electrical Engineering, Electronics and Energy, 8, 100605. https://doi.org/10.1016/j.prime.2024.100605

Nath, V., & Samabriya, D. K. (2023). Investigating load frequency control through intelligent controller implementation for interconnected power system. Universal Journal of Electrical and Electronic Engineering, 10(4), 51–70. https://doi.org/10.13189/ujeee.2023.100401

Nath, V., & Sambariya, D. K. (2023). Application of intelligent controller for load frequency control for multi-area multi-source power system. Indian Journal of Science and Technology, 16(39), 3361–3374. https://doi.org/10.17485/IJST/v16i39.1769

Oleiwi, A. O., & Sultan, A. J. (2021). AGC for multi-area interconnected using computational algorithm. Journal of Hunan University Natural Sciences, 48(8), 299–304. https://jonuns.com/index.php/journal/article/view/702

Reddy, G. S., Srividhya, P., Poojitha, A., Manasa, Y., & Maheswari, V. S. U. (2024). Enhanced load frequency control in multi-area power systems using fuzzy logic techniques. Journal of Emerging Technologies and Innovative Research (JETIR), 11(6), 349–358. https://www.jetir.org/view?paper=JETIRGJ06055

Roy, T. K., & Maung Than Oo, A. (2024). Enhancing grid frequency regulation in low-inertia modern multi-area power systems using cascaded non-integer control approaches with BESS-based virtual inertia. IET Renewable Power Generation, 18(S1), 4602–4620. https://doi.org/10.1049/rpg2.13169

Shouran, M. (2022). Load frequency control for multi-area interconnected power system using artificial intelligent controllers [Doctoral dissertation, Cardiff University]. https://orca.cardiff.ac.uk/id/eprint/155030

Wang, S., Bi, Y., Qi, W., Li, B., & Cai, K. (2021). Non-fragile load frequency control of a multi-area power system with an energy storage system and wind power subject to circular pole constraints. Sustainable Energy Technologies and Assessments, 45, 101184. https://doi.org/10.1016/j.seta.2021.101184

Xu, K., Niu, Y., & Yang, Y. (2022). Load frequency control for wind-integrated multi-area power systems: An area-based event-triggered sliding mode scheme. Journal of the Franklin Institute, 359(17), 9451–9472. https://doi.org/10.1016/j.jfranklin.2022.10.010

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