Coordinated control of conventional power sources and PHEVs using jaya algorithm optimized PID controller for frequency control of a renewable penetrated power system

In renewable penetrated power systems, frequency instability arises due to the volatile nature of renewable energy sources (RES) and load disturbances. The traditional load frequency control (LFC) strategy from conventional power sources (CPS) alone unable to control the frequency deviations caused by the aforementioned disturbances. Therefore, it is essential to modify the structure of LFC, to handle the disturbances caused by the RES and load. With regards to the above problem, this work proposes a novel coordinated LFC strategy with modified control signal to have Plug-in Hybrid Electric Vehicles (PHEVs) for frequency stability enhancement of the Japanese power system. Where, the coordinated control strategy is based on the PID controller, which is optimally tuned by the recently developed JAYA Algorithm (JA). Numerous simulations are performed with the proposed methodology and, the results have confirmed the effectiveness of a proposed approach over some recent and well-known techniques in literature. Furthermore, simulation results reveal that the proposed coordinated approach significantly minimizing the frequency deviations compared to the JAYA optimized LFC without PHEVs & with PHEVs but no coordination.

Robust frequency control in a renewable penetrated power system: an adaptive fractional order-fuzzy approach

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.