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Cuckoo Search algorithm based load frequency controller design for nonlinear interconnected power system |
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| Affiliation: | 1. Electric Power and Machine Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt;2. Electric Power and Machine Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt;3. Currently, Electrical Department, Faculty of Engineering, Jazan University, KSA;1. Centre for Energy Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India;2. Department of Power Engineering, Jadavpur University, Salt Lake Campus, LB-8, Sector 3, Kolkata 700098, India;3. School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;1. Department of Electrical Engineering, VSSUT, Burla 768 018, Odisha, India;2. Department of Electrical Engineering, OEC, Bhubaneswar 752 050, Odisha, India |
| Abstract: | A new optimization technique called Cuckoo Search (CS) algorithm for optimum tuning of PI controllers for Load Frequency Control (LFC) is suggested in this paper. A time domain based-objective function is established to robustly tune the parameters of PI-based LFC which is solved by the CS algorithm to attain the most optimistic results. A three-area interconnected system is investigated as a test system under various loading conditions where system nonlinearities are taken into account to confirm the effectiveness of the suggested algorithm. Simulation results are introduced to show the enhanced performance of the developed CS based controllers in comparison with Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and conventional integral controller. These results denote that the proposed controllers offer better performance over others in terms of settling times and various indices. |
| Keywords: | Cuckoo Search algorithm Load Frequency Control PI controller Time delay Generation Rate Constraint Three area system |
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