Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Abstract

Load frequency control (LFC) is considered to be the most important strategy in interconnected multi-area power systems for satisfactory operation and distribution. In order to transfer reliable power with acceptable quality, an LFC mechanism requires highly efficacy and intelligent techniques. In this paper, a novel hybrid fractional order fuzzy pre-compensated intelligent proportional-integral-derivative (PID) (FOFP-iPID) controller is proposed for the LFC of a realistic interconnected two-area power system. The proposed FOFP-iPID controller is incorporated into the power system as a secondary controller. In doing so, the parameters of the suggested FOFP-iPID controller are optimized using a more recent evolutionary computational technique called the Ant lion optimizer (ALO) algorithm utilizing an Integral of Time multiplied Absolute Error (ITAE) index. Simulation results demonstrated that the proposed FOFP-iPID controller achieves better dynamics performance under a wide variation of load perturbations. The supremacy of the proposed FOFP-iPID controller is demonstrated by comparing the results with some existing controllers, such as fractional order PID (FOPID) and fractional order intelligent PID (FOiPID) controllers for the identical system. Finally, the sensitivity analysis of the plant is examined and the simulation results showed that the suggested FOFP-iPID controller is robust and performs satisfactorily despite the presence of uncertainties.

On design of a robust decentralized controller for an interconnected multi-area power system with FACTS devices

“…As observed in Table 2, there are only two adjusting parameters for designing of the ADRC approach, namely the controller bandwidth (ω c ) and controller gain (b). 4 The objective function and its solution…”

“…The modern electrical power system consists of different power system utilities, such as hydro, thermal, nuclear and gas, these units are coherently interconnected with each other by transmission lines (tie-lines) [1,2,3,4], except nuclear units. Nuclear plants are usually wellkept at base load close to their maximum output without sharing in load frequency control (LFC) [5].…”

Multi-Verse Optimizer for Model Predictive Load Frequency Control of Hybrid Multi-Interconnected Plants Comprising Renewable Energy

“…In Ref. [17], Antlion optimizer (ALO) has been employed to simulate Fuzzy precompensated intelligent PID controller incorporated in a multi-interconnected system. Sarkar et al [18] investigated robust adaptive sliding mode control (SMC) on threeinterconnected plants.…”

Ant lion optimized hybrid intelligent PID-based sliding mode controller for frequency regulation of interconnected multi-area power systems

“…The operation, reliability and efficiency of the interconnected power system are strictly relied on the system frequency (Gomaa Haroun and Li, 2017). Therefore, several controller strategies in the different fields of control theory namely fuzzy logic controller (Cam and Kocaarslan, 2005; Nanda and Mangla, 2004; Subha, 2014), intelligent-based adaptive controller (Gomaa Haroun and Li, 2019a, 2019b; Kazemi et al, 2003; Wu, 2012), decentralized controller (Tian and Yue, 2015), robust controller (Bevrani et al, 2004; Sun et al, 2016), and sliding mode controller (SMC) (Guo, 2019; Mi et al, 2019; Prasad et al, 2019) have been established to deal with LFC problem over the preceding decades. On the other hand, classical methods like PID controller and its variants incorporated with heuristic methods due to the simple structure and easily design are extensively established in the literature as supplementary controller to accomplish the control objectives in LFC problem.…”