Dynamic Behavior and Stability Analysis of Automatic Voltage Regulator with Parameter Uncertainty

Abstract

This research article describes a novel optimization technique called simulink design optimization (SDO) to compute the optimal PID coefficients for an automatic voltage regulator (AVR). The time-domain performance of the proposed controller was analyzed using MATLAB/Simulation, and its performance was compared with that of water cycle algorithm, genetic algorithm, and local unimodal sampling algorithm-based PID controllers. The robustness of the proposed controller was verified by applying the disturbances to the generator field voltage and the amplifier parameter uncertainty. The studies presented in literature were discussed the AVR loop stability using the Bode plot which will not give the minimum stability margins. This study proposes a novel stability analysis called disk-based stability analysis to authenticate the stability of the AVR loop which is obtained by the classical analysis. This stability was compared with the proposed stability analysis. The MATLAB results reveal that the SDO-PID controller regulates the terminal voltage of the generator precisely, is more robust to parameter uncertainty, and is more stable than the other controllers. The maximum allowable parameter uncertainty of the amplifier model was identified as 102% of its nominal parameters. The stability margins are recognized as DGM = 10.40 dB and DPM = 56.50° for the AVR stability.

Robustness and Stability Analysis of Automatic Voltage Regulator Using Disk-Based Stability Analysis

“…In summary, maintaining a constant voltage profile in a power system network is crucial for the efficient operation of electrical equipment and overall system performance. The installation of voltage regulators, coupled with PID controllers, helps to address these challenges by actively regulating the generator terminal voltage and stabilizing voltage profile [8].…”

“…This simplifies the mathematical representation and design control strategies. The AVR system typically consists of several components that each component is approximated as a firstorder transfer function by considering its dynamic response [8], [32], [33]. The transfer function provides the relationship between the reference voltage (Vref) and the excitation voltage (Vex).…”

“…The standard range and proposed values of the AVR system are given in [8] and [21]. From the block diagram, the transfer function of the AVR with power generation is given as [8].…”

Intelligent Energy Management for Distributed Power Plants and Battery Storage

“…To maximize energy efciency and sustainability, hybrid energy systems require careful power management. Furthermore, the SEMS is generally complex and requires fnding solutions very quickly and continuously every second because of the intermittent nature of the RES involved (SPV panel, WTG) and the multiple objectives that need to be satisfed (priority in the utilization of sources for consumption) [29,36]. Multiobjective multiconstraint power management optimization [37][38][39][40][41][42] is notoriously difcult to solve in real-time using traditional optimization methods [29,[37][38][39][40][41][42].…”

Submarine Acoustic Target Strength Modeling at High-Frequency Asymptotic Scattering

“…Submarines utilize a well-kept cover tale to describe their primary form of defence while in operation. Due to the enormous attenuation of radio frequencies in water, SONAR is the most used method for locating submarines [19]. When designing submarines, engineers take into account the reflection of acoustic waves in order to determine how to limit the sub's surface area that is responsible for reflecting sound.…”