Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

SMART Method Based Optimal Control of AGC for Two-Area Interconnected Power System

Version 1 : Received: 19 November 2023 / Approved: 20 November 2023 / Online: 20 November 2023 (07:52:50 CET)

How to cite: Singh, V. P.; Waghmare, A. V.; Meena, V. P.; Yadav, U. K.; Varshney, T. SMART Method Based Optimal Control of AGC for Two-Area Interconnected Power System. Preprints 2023, 2023111227. https://doi.org/10.20944/preprints202311.1227.v1 Singh, V. P.; Waghmare, A. V.; Meena, V. P.; Yadav, U. K.; Varshney, T. SMART Method Based Optimal Control of AGC for Two-Area Interconnected Power System. Preprints 2023, 2023111227. https://doi.org/10.20944/preprints202311.1227.v1

Abstract

Automatic generation control (AGC) plays a vital role in creating an equilibrium between generated output power and load demand, in order to maintain frequency at desired value. This study focuses on performance analysis of simple-multi attribute rating technique (SMART) assisted proportional-integral-derivative (PID) controller design for AGC of two interconnected power systems. PID controller is designed by minimizing frequency variations, area control errors for area-1 and area-2, and tie-line power deviation. An objective function is framed considering error minimization of aforementioned factors as sub-objectives. The construction of objective function involves using the integral of time-multiplied absolute error (ITAE) for frequency deviations for area-1 and area-2, ITAE for deviation in tie-line power, and ITAEs for area control errors for area-1 and area-2 as sub-objective functions. By assigning appropriate weights to these sub-objective functions, an overall objective function is formed. This study determines these weights in an organized manner using SMART method, rather than randomly/equally assigning them. Overall objective function is minimized using Jaya algorithm. To demonstrate effectiveness of the proposed Jaya-based PID controller, its performance is analysed and compared with controllers tuned using other optimization algorithms, including sine cosine, Luus-Jaakola, teacher-learner based optimization, Nelder-Mead simplex, and elephant herding optimization. Considering six different case studies that consider a range of load variations, responses for fluctuations in frequency and tie-line exchange are plotted. Statistical and non-parametric analysis performed further provide additional insights into the performance of Jaya-based PID controller.

Keywords

AGC; SMART method; Jaya optimization; PID controller; two-area power system

Subject

Engineering, Control and Systems Engineering

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