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Abstract

Automatic Voltage Regulators (AVRs) are widely used to regulate the system voltage. For satisfactory performance of AVR system, optimal design of the Proportional Integral Derivative (PID) controllers is essential. Design tasks of controllers are multiple objective problems since the controller has to satisfy performance measures. The present paper reports the performance study of PID controller with multi-objective Non Dominated Shorting Genetic Algorithm-II (NSGA-II). The design objectives are to enhance the controller performance while minimizing integral error criteria, settling time and maximum overshoot of terminal voltage. Initially a simple AVR system has been considered for checking the superiority of the proposed multi-objective approach. Comparative analysis has been carried out with recently reported techniques. Additionally, the study is extended to an autonomous power system with synchronous and diesel generators. Finally, robustness analysis is also reported by varying the time constant of generator, exciter, amplifier and sensor.

Keywords

Automatic voltage regulator multi objective autonomous power system

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Multi-objective non dominated sorting genetic algorithm-II optimized PID controller for automatic voltage regulator systems

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