2021
DOI: 10.20998/2074-272x.2021.1.08
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Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems

Abstract: Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to maintain its terminal voltage at rated voltage. Several control techniques utilized to improve the response of the automatic voltage regulator system, however, proportional integral derivative (PID) controller is the… Show more

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Cited by 12 publications
(11 citation statements)
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“…The error signal coming from dq0_to_abc transformation will become input of SMC which is being used to switch the inverter. We have tuned the SMC to reduce the THD to make our DVR valuable and effective [19][20][21][22]. Phase locked loop for DVR with SMC is shown in Fig.…”
Section: Dvr With Pi Controllermentioning
confidence: 99%
“…The error signal coming from dq0_to_abc transformation will become input of SMC which is being used to switch the inverter. We have tuned the SMC to reduce the THD to make our DVR valuable and effective [19][20][21][22]. Phase locked loop for DVR with SMC is shown in Fig.…”
Section: Dvr With Pi Controllermentioning
confidence: 99%
“…So the chaos idea is introduced to PSO algorithm (CPSO) to enhance the performance of PSO. Logistic mapping is a typical chaotic model which was presented by Robert [28]. This paper uses Logistic mapping to optimize the PSO algorithm, which is represented as follows:…”
Section: Cpso Algorithmmentioning
confidence: 99%
“…The various swarm-based tuning methods are studied in [18] and a new scheme is suggested by combining the bacterial foraging and particle swarm optimization (PSO) methods. In [19], the performance of PSO is improved by the use of chaotic systems and the optimized PID is applied for a voltage control problem. The multi-objective PSO is formulated in [20] for optimizing the PID controller of a aerial vehicle.…”
Section: Literature Reviewmentioning
confidence: 99%