| Abstract: |
| Purpose: Load frequency control (LFC) in today’s modern power system is getting complex, due to intermittency
in the output power of renewable energy sources along with substantial changes in the system parameters and
loads. To address this problem, this paper proposes an adaptive fractional order (FO)-fuzzy-PID controller for LFC
of a renewable penetrated power system.
Design/methodology/approach: To examine the performance of the proposed adaptive FO-fuzzy-PID controller,
four different types of controllers that includes optimal proportional-integral-derivative (PID) controller, optimal
fractional order (FO)-PID controller, optimal fuzzy PID controller, optimal FO-fuzzy PID controller are compared with
the proposed approach. The dynamic response of the system relies upon the parameters of these controllers, which
are optimized by using teaching-learning based optimization (TLBO) algorithm. The simulations are carried out using
MATLAB/SIMULINK software.
Findings: The simulation outcomes reveal the supremacy of the proposed approach in dynamic performance
improvement (in terms of settling time, overshoot and error reduction) over other controllers in the literature under
different scenarios.
Originality/value: In this paper, an adaptive FO-fuzzy-PID controller is proposed for LFC of a renewable penetrated
power system. The main contribution of this work is, a maiden application has been made to tune all the possible
parameters of fuzzy controller and FO-PID controller simultaneously to handle the uncertainties caused by renewable
sources, load and parametric variations. |
| Key words: Adaptive fractional order-fuzzy-PID controller, Renewable energy sources, Load frequency control, TLBOalgorithm |
| DOI：10.1186/s41601-019-0130-8 |
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| Fund: |
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