A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics. (November 2017)

• Record Type: Journal Article
• Authors: Gomaa Haroun, A.H.; Li, Yin-ya
• Is Part Of: ISA transactions. Volume 71:Part 2(2017)
• Page Start: 364
• Page End: 379
• Publication Date: 2017-11
• Subjects: Load frequency control (LFC) -- Interconnected multi-area electrical power system -- Particle swarm optimization (PSO) -- Intelligent PID controller -- Fuzzy logic intelligent PID (FLiPID) controller; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2017.09.003
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: In the fast developing world nowadays, load frequency control (LFC) is considered to be a most significant role for providing the power supply with good quality in the power system. To deliver a reliable power, LFC system requires highly competent and intelligent control technique. Hence, in this article, a novel hybrid fuzzy logic intelligent proportional-integral-derivative (FLiPID) controller has been proposed for LFC of interconnected multi-area power systems. A four-area interconnected thermal power system incorporated with physical constraints and boiler dynamics is considered and the adjustable parameters of the FLiPID controller are optimized using particle swarm optimization (PSO) scheme employing an integral square error (ISE) criterion. The proposed method has been established to enhance the power system performances as well as to reduce the oscillations of uncertainties due to variations in the system parameters and load perturbations. The supremacy of the suggested method is demonstrated by comparing the simulation results with some recently reported heuristic methods such as fuzzy logic proportional-integral (FLPI) and intelligent proportional-integral-derivative (PID) controllers for the same electrical power system. the investigations showed that the FLiPID controller provides a better dynamic performance and outperform compared to the other approaches in terms of the settling time, and minimum undershoots of the frequency as well as tie-line power flow deviations following a perturbation, in addition to perform appropriate settlement of integral absolute error (IAE). Finally, the sensitivity analysis of the plant is inspected by varying the system parameters and operating load conditions from their nominal values. It is observed that the suggested controller based optimization algorithm is robust and perform satisfactorily with the variations in operating load condition, system parameters and load pattern. Abstract : Highlights: A hybrid fuzzy logic intelligent PID controller optimized via PSO is designed for LFC of power systems. Results are compared with FLPI and iPID controllers based approaches to show its superiority. Ability of the approach to handle nonlinearity is shown by considering physical constraints and boiler dynamics. Parameters of the proposed controllers need not be reset with system parameter variation. The performance of the proposed controller is superior to the other controllers.