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논문 기본 정보

자료유형
학술저널
저자정보
S.Anbarasi (Research Scholar, Dept. of Electrical and Electronic Engineering, Mepco Schlenk Engineering College) S. Muralidharan (Professor, Dept. of Electrical and Electronic Engineering, Mepco Schlenk Engineering College)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.3
발행연도
2017.5
수록면
1,027 - 1,037 (11page)

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초록· 키워드

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Penetration of renewable energy sources makes the modern interconnected power systems to have more intelligence and flexibility in the control. Hence, it is essential to maintain the system frequency and tie-line power exchange at nominal values using Load Frequency Control (LFC) for efficient, economic and reliable operation of power systems. In this paper, intelligent tuning of the Proportional Integral Derivative (PID) controller for LFC in an interconnected power system is considered as a main objective. The chosen problem is formulated as an optimization problem and the optimal gain parameters of PID controllers are computed with three innovative swarm intelligent algorithms named Particle Swarm Optimization (PSO), Bacterial Foraging Optimization Algorithm (BFOA) and hybrid Bacterial Foraging Particle Swarm Optimization (BFPSO) and a comparative study is made between them. A new objective function designed with necessary time domain specifications using weighted sum approach is also offered in this report and compared with conventional objective functions. All the simulation results clearly reveal that, the hybrid BFPSO tuned PID controller with proposed objective function has better control performances over other optimization methodologies.

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Abstract
1. Introduction
2. Description of LFC in a Two Area Thermal Power System
3. Optimization Algorithms for Tuning PID Controller
4. Results and Discussions
5. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2017-560-002385284