Abstract
PurposeLoad 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/approachTo 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.FindingsThe 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/valueIn 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.
Highlights
In today’s modern power systems, the increased electrical energy demand from conventional power sources is becoming expensive and environmentally hazardous, especially for remote locations and islands
To addresses the above problem, this paper proposes an adaptive fractional order (FO)-fuzzy logic controllers (FLC)-PID controller, in which membership functions (MFs) scaling factors and rule base weights are tuned in online according to operating conditions along with FO-PID parameters
Despite parametric uncertainties and EV aggregator disconnection, the proposed controller shows its supremacy over the other four controllers. As it can be noticed, the teaching-learning based optimization (TLBO)-PID, 6 Conclusion In this work, a novel adaptive FO-FLC-PID controller is proposed for frequency control of an interconnected power system with renewable energy sources (RES) penetration
Summary
In today’s modern power systems, the increased electrical energy demand from conventional power sources is becoming expensive and environmentally hazardous, especially for remote locations and islands. In order to overcome the specified problems, this paper proposes a novel adaptive FO-fuzzy-PID controller for frequency control of the power system by inheriting the merits of both FL and FO controllers In this proposed controller, the parameters of FLC (MFs scaling factors and rule base weights) and FO-. The key features of this paper are listed below: 1) An adaptive model free non-linear controller is proposed by integrating the fuzzy logic and fractional order PID controller features to the LFC problem of RES penetrated power system by considering all non-linearities. To addresses the above problem, this paper proposes an adaptive FO-FLC-PID controller, in which MFs scaling factors and rule base weights are tuned in online according to operating conditions along with FO-PID parameters.
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