Automatic Generation Control in Three-Area Power System Operation by using “Particle Swarm Optimization Technique”

Author(s):

Pardeep Kumar , IIET, KINANA, JIND , HARYANA

Keywords:

Automatic Generation Control (AGC), Evolutionary Computation (EC), Particle Swarm Optimization (PSO) integral controller

Abstract:

In this paper, an evolutionary computing approach for determining the optimal values for the proportional integral controller parameters of automatic generation control (AGC). Three area thermal-thermal unequal power systems using the particle swarm optimization technique is presented. The AGC loop controls real power & frequency. Due to rising and falling power demand, the real power balance is harmed; hence frequency gets deviated from nominal value. This necessitates designing of an accurate and fast controller to maintain the system parameters at nominal value. The main purpose of system generation control is to balance the system generation against the load and losses so that the desired frequency and power interchange between neighboring systems are maintained. This work demonstrates the application of PSO method to search efficiently optimal PI controller parameters of AGC. The proposed method had superior features like, stable convergence characteristics, easy implementation and good computational efficiency. The simulation results demonstrate the effectiveness of the designed system in terms of reduced settling time, overshoot and oscillations.

Other Details:

Manuscript Id	:	IJSTEV3I11167
Published in	:	Volume : 3, Issue : 11
Publication Date	:	01/06/2017
Page(s)	:	358-365

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