Abstract
This work discusses the load frequency control of a three-area interconnected power system regulated employing a PID controller whose gain parameters are tuned using one of the optimization algorithms instigated and inspired by smart foraging or searching deportment of honey bees. The three-area power system depicted is assembled in such a way that the area-1 consists of a non-reheated turbine, area-2 consists of a reheated turbine while the third area consists of a combination of both non-reheated and reheated turbine units as the power consumed is profoundly generated by thermal power plants across the world and they exist to a greater degree. All the existing areas are equipped with PID controllers, and the objective function taken into account is Integral Time Absolute Error (ITAE). To subdue all the fluctuations attributed to the perturbations in the system and reacquire the frequency to the nominal quantity swiftly is primary intent of this work. The performance of the controller is simulated in the MATLAB/ SIMULINK version. The results depicted the swift settling down of the frequency deviations with minimum steady state error.
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References
Kouba NEY, Menaa M, Hasni M, Boudour M (2015) Optimal load frequency control based on artificial bee colony optimization applied to single, two and multi-area interconnected power systems. In: 3rd International conference on control, engineering and information technology, CEIT 2015. Institute of Electrical and Electronics Engineers Inc
Nour El Yakine K, Menaa M, Hasni M, Boudour M (2014) Application of artificial neural networks to load frequency control in multi-area power system, Request PDF. In: International conference on information processing and electrical engineering. pp 357–362
RV-IJ of SC (2012) Undefined intelligent bacterial foraging optimization technique to economic dispatch problem
Ahsan Zamee M, Mitra D, Yusuf Tahhan S (2013) Load frequency control of interconnected hydro-thermal power system using conventional PI and fuzzy logic controller. Int J Energy Power Eng 2:191–196. https://doi.org/10.11648/j.ijepe.20130205.12
Akay B, Karaboga D (2012) Artificial bee colony algorithm for large-scale problems and engineering design optimization. Springer 23:1001–1014. https://doi.org/10.1007/s10845-010-0393-4
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The authors are filled with gratitude to NIT Manipur for its assistance and providing the useful data to accomplish this work.
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Shaik, N., Shimray, B. (2023). Load Frequency Control in Three-Area Interconnected Power System Using PID Tuning Based on Artificial Bee Colony Optimization. In: Edwin Geo, V., Aloui, F. (eds) Energy and Exergy for Sustainable and Clean Environment, Volume 2. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-8274-2_12
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DOI: https://doi.org/10.1007/978-981-16-8274-2_12
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