scispace - formally typeset
Search or ask a question

Showing papers by "Rabindra Kumar Sahu published in 2016"


Journal ArticleDOI
TL;DR: The supremacy of the proposed 2-DOF PID controller has been shown by comparing the results with recently published technique such as conventional ZN, GA, BFOA, DE and hBFOA-PSO based PI controllers for the same system.

225 citations


Journal ArticleDOI
TL;DR: Investigations reveal that proposed TIDF controllers provide better dynamic response compared to PID controller in terms of minimum undershoots and settling times of frequency as well as tie-line power deviations following a disturbance.
Abstract: In this paper, a novel Tilt Integral Derivative controller with Filter (TIDF) is proposed for Load Frequency Control (LFC) of multi-area power systems. Initially, a two-area power system is considered and the parameters of the TIDF controller are optimized using Differential Evolution (DE) algorithm employing an Integral of Time multiplied Absolute Error (ITAE) criterion. The superiority of the proposed approach is demonstrated by comparing the results with some recently published heuristic approaches such as Firefly Algorithm (FA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) optimized PID controllers for the same interconnected power system. Investigations reveal that proposed TIDF controllers provide better dynamic response compared to PID controller in terms of minimum undershoots and settling times of frequency as well as tie-line power deviations following a disturbance. The proposed approach is also extended to two widely used three area test systems considering nonlinearities such as Generation Rate Constraint (GRC) and Governor Dead Band (GDB). To improve the performance of the system, a Thyristor Controlled Series Compensator (TCSC) is also considered and the performance of TIDF controller in presence of TCSC is investigated. It is observed that system performance improves with the inclusion of TCSC. Finally, sensitivity analysis is carried out to test the robustness of the proposed controller by varying the system parameters, operating condition and load pattern. It is observed that the proposed controllers are robust and perform satisfactorily with variations in operating condition, system parameters and load pattern.

168 citations


Journal ArticleDOI
TL;DR: The superiority of the proposed FA optimized fuzzy PID controller has been demonstrated by comparing the results with some recently published approaches such as optimal control and Differential Evolution optimized PID controller for the identical interconnected power system.

160 citations


Journal ArticleDOI
TL;DR: In this paper, a Firefly Algorithm (FA) optimized hybrid fuzzy PID controller with derivative filter is proposed for load frequency control (LFC) of multi area multi source system under deregulated environment by considering the physical constraints such as Generation Rate Constraint (GRC) and Governor Dead Band (GDB) nonlinearity.

148 citations


Journal ArticleDOI
TL;DR: In this paper, a teaching learning based optimization (TLBO) algorithm is employed to optimize the parameters of the PIDD controller for automatic generation control (AGC) of multi-area power systems with diverse energy sources.

123 citations


Book ChapterDOI
01 Jan 2016
TL;DR: The performance of proposed controller is investigated under all the possible scenarios that take place in a restructured power market and reveals that DE optimized PIDF controller minimizes the errors effectively.
Abstract: This present paper focuses on the design of proportional-derivative-integral controller with derivative filter (PIDF) for automatic generation control problem. A two-area, six-unit reheat thermal-hydro restructured power system is considered with nonlinearities such as time delay (TD) and generation rate constraint (GRC). The gain parameters PIDF controllers are optimized by using differential evolution (DE) algorithm employed with integral of time multiplied absolute error (ITAE) as an objective function. The performance of proposed controller is investigated under all the possible scenarios that take place in a restructured power market. From simulation results reveals that DE optimized PIDF controller minimizes the errors effectively.

6 citations