Abstract
This paper presents a novel whale optimization algorithm (WOA) for automatic generation control (AGC) of two-area non-reheat thermal power system with the consideration of generation rate constraint (GRC). A power system is considered to be equipped with proportional–integral–derivative (PID) controller, and its optimal parameters are obtained by whale optimization algorithm (WOA) considered as an integral time multiplied absolute error (ITAE) objective function. The outcome of this technique has been compared and analysed with the outcome of the recent heuristic optimization techniques: (i) hybrid firefly algorithm–pattern search technique (hFA-PS), (ii) bacteria foraging optimization algorithm (BFOA), (iii) genetic algorithm (GA) and (iv) conventional Ziegler–Nichols (ZN)-based PID controller for same interconnected power system. The sensitivity analysis is also done to show the effectiveness and robustness of the proposed WOA for dynamic operating conditions at different system parameters.
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Appendix
Appendix
Nominal parameters of two-area non-reheat thermal–thermal power system [13]
Parameter | Value | Parameter | Value |
|---|---|---|---|
F | 60 Hz | TG1 = TG2 | 0.08 S |
B1 = B2 | 0.425 p.u. MW/Hz | TT1 = TT2 | 0.3 S |
R1 = R2 | 2.4 Hz/p.u. | KP1 = KP2 | 120 Hz/p.u. |
a12 | −1 | T12 | 0.545 p.u. |
Tp1 = Tp2 | 20 S | Pr1 = Pr2 | 2000 MW |
PL | 1000 MW | GRC | ±0.05% ± 0.025% |
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Bikaneria, J., Parkh, K., Sharma, T., Saxsena, S. (2021). Whale Optimization Algorithm-Based Design of PID Controller for Controlling Two-Area Load Frequency with Nonlinearities. In: Purohit, S., Singh Jat, D., Poonia, R., Kumar, S., Hiranwal, S. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5077-5_35
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DOI: https://doi.org/10.1007/978-981-15-5077-5_35
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