TID-FOPIDN controller for frequency control using Lemur optimization in two-area power systems

Authors

  • Mohammed Charif Kihal
  • Abdelghani Yahiou
  • Marouane Kihal
  • Hakim Azizi
  • Daouad Sekki
  • Mohammed Chabout

DOI:

https://doi.org/10.38152/bjtv7n4-018

Keywords:

LFC, ITAE, FOPIDN, TID, cascade TID-FOPIDN, LO, multi-area power system

Abstract

Precise control over frequency, voltage, and power flow is required to ensure power quality in multi-zone electrical networks. Load frequency control (LFC), which adjusts active power according to load fluctuations, is necessary for system stability. Based on recent studies, combining optimization techniques with advanced control schemes may greatly improve LFC performance. In this work, the control parameters of TID, PIDN, and TID-FOPIDN are tuned using the Lemur optimizer. These concepts are investigated in the context of a two-zone power system comprising hydroelectric and thermal power plants. The findings illustrate how the Lemur-optimized TID-FOPIDN cascade surpasses TID and PIDN controllers in terms of frequency stability and precision, rendering it a viable option for enhancing electrical networks.

References

Albasheri, M. A., Bouchhida, O., Soufi, Y., & Cherifi, A. (2024). Enhanced energy storage system efficiency for remote area-based DC microgrid. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(2), e5367. https://doi.org/10.54021/seesv5n2-002

Ozumcan, S., Ozturk, A., Varan, M., & Andic, C. (2023). A novel honey badger algorithm based load frequency controller design of a two-area system with renewable energy sources. Energy Reports, 9, 272–279. https://doi.org/10.1016/j.egyr.2023.10.002

Arya, Y. (2021). ICA assisted FTIλDN controller for AGC performance enrichment of interconnected reheat thermal power systems. Journal of Ambient Intelligence and Humanized Computing, 14(3), 1919–1935. https://doi.org/10.1007/s12652-021-03403-6

Kumar, V., Sharma, V., & Naresh, R. (2021). HHO-based Model Predictive Controller for combined voltage and frequency control problem including SMES. IETE Journal of Research, 69(5), 2926–2940. https://doi.org/10.1080/03772063.2021.1908180

Ogar, V. N., Hussain, S., & Gamage, K. a. A. (2023). Load frequency control using the Particle Swarm Optimisation Algorithm and PID controller for effective monitoring of transmission line. Energies, 16(15), 5748. https://doi.org/10.3390/en16155748

Zhao, X., Lin, Z., Fu, B., He, L., & Li, C. (2019). Research on the Predictive Optimal PID Plus Second Order Derivative Method for AGC of Power System with High Penetration of Photovoltaic and Wind Power. Journal of Electrical Engineering and Technology, 14(3), 1075–1086. https://doi.org/10.1007/s42835-019-00113-0

Kumar, S. A., Narayana, M. S. S., & Gowd, K. J. (2023). Application of a TID Controller for the LFC of a Multi Area System using HGS Algorithm. Engineering Technology & Applied Science Research, 13(3), 10691–10697. https://doi.org/10.48084/etasr.5502

Taher, S. A., Fini, M. H., & Aliabadi, S. F. (2013). Fractional order PID controller design for LFC in electric power systems using imperialist competitive algorithm. Ain Shams Engineering Journal, 5(1), 121–135. https://doi.org/10.1016/j.asej.2013.07.006

Çelik, E., Öztürk, N., Arya, Y., & Ocak, C. (2021). (1 + PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems. Neural Computing and Applications, 33(22), 15433–15456. https://doi.org/10.1007/s00521-021-06168-3

Pathak, P. K., Yadav, A. K., Padmanaban, S., & Kamwa, I. (2022). Fractional cascade LFC for distributed energy sources via advanced optimization technique under high renewable shares. IEEE Access, 10, 92828 –92842. https://doi.org/10.1109/access.2022.3202907

Bevrani, H., & Daneshmand, P. R. (2011). Fuzzy Logic-Based Load-Frequency control concerning high penetration of wind turbines. IEEE Systems Journal, 6(1), 173–180. https://doi.org/10.1109/jsyst.2011.2163028

Daneshfar, F., & Bevrani, H. (2012). Multiobjective design of load frequency control using genetic algorithms. International Journal of Electrical Power & Energy Systems, 42(1), 257–263. https://doi.org/10.1016/j.ijepes.2012.04.024

Kail, S., Bekri, A., & Nasri, A. (2024). A novel hybrid GA optimized PID controller for AGC in interconnected hydro-thermal power system. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(2), e9275. https://doi.org/10.54021/seesv5n2-342

PSinghParmar, K. (2014). PSO based PI Controller for the LFC System of an Interconnected Power System. International Journal of Computer Applications, 88(7), 20–25. https://doi.org/10.5120/15364-3856

Guha, D., Roy, P. K., & Banerjee, S. (2016). Load frequency control of large scale power system using quasi-oppositional grey wolf optimization algorithm. Engineering Science and Technology an International Journal, 19(4), 1693–1713. https://doi.org/10.1016/j.jestch.2016.07.004

Salhi, S., Necira, A., Salhi, A., Benkhetta, D., & Naimi, D. (2024). Optimal control design for power system stabilizer using a novel crow search algorithm dynamic approach. STUDIES IN ENGINEERING AND EXACT SCIENCES, 5(2), e9782. https://doi.org/10.54021/seesv5n2-397

Abasi, A. K., Makhadmeh, S. N., Al-Betar, M. A., Alomari, O. A., Awadallah, M. A., Alyasseri, Z. a. A., Doush, I. A., Elnagar, A., Alkhammash, E. H., & Hadjouni, M. (2022). Lemurs Optimizer: a new metaheuristic algorithm for global optimization. Applied Sciences, 12(19), 10057. https://doi.org/10.3390/app121910057

Hassan, A., Aly, M., Elmelegi, A., Nasrat, L., Watanabe, M., & Mohamed, E. A. (2022). Optimal frequency control of Multi-Area hybrid power system using new cascaded TID-PIΛDΜN controller incorporating electric vehicles. Fractal and Fractional, 6(10), 548. https://doi.org/10.3390/fractalfract6100548

Masiala, M., Ghribi, M., & Kaddouri, A. (2012). A Two-Layered load and frequency controller of a power system. In InTech eBooks. https://doi.org/10.5772/48404

Marzaki, M. H., Tajjudin, M., Rahiman, M. H. F., & Adnan, R. (2015). Performance of FOPI with error filter based on controllers performance criterion (ISE, IAE and ITAE). 2015 10th Asian Control Conference (ASCC). https://doi.org/10.1109/ascc.2015.7244851

Saini, N., & Ohri, J. (2024). Optimal and Robust Load Frequency Control for Hybrid Power System Integrated with Energy Storage Device by Sine Cosine Algorithm. Wireless Personal Communications. https://doi.org/10.1007/s11277-024-11588-0

Veerasamy, V., Wahab, N. I. A., Ramachandran, R., Othman, M. L., Hizam, H., Kumar, J. S., & Irudayaraj, A. X. R. (2021). Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system. Expert Systems With Applications, 192, 116402. https://doi.org/10.1016/j.eswa.2021.116402

Khen, R., Benayache, F. A., & Kihal, M. C. (2024). Optimisation multi-objective pour le réglage de tension et le control de fréquence dans un réseau en présence des véhicules électriques. Master thesis, University of Jijel, Algeria.

Ramjug-Ballgobin, R., & Ramlukon, C. (2021). A hybrid metaheuristic optimisation technique for load frequency control. SN Applied Sciences, 3(5). https://doi.org/10.1007/s42452-021-04482-y

Iqbal, M. S., Limon, M. F. A., Kabir, M. M., Rabby, M. K. M., Soeb, M. J. A., & Jubayer, M. F. (2024). A hybrid optimization algorithm for improving load frequency control in interconnected power systems. Expert Systems With Applications, 249, 123702. https://doi.org/10.1016/j.eswa.2024.123702

Downloads

Published

2024-11-19

How to Cite

Kihal, M. C., Yahiou, A., Kihal, M., Azizi, H., Sekki, D., & Chabout, M. (2024). TID-FOPIDN controller for frequency control using Lemur optimization in two-area power systems. Brazilian Journal of Technology, 7(4), e74676. https://doi.org/10.38152/bjtv7n4-018

Issue

Section

Original articles