Application of artificial intelligence techniques for LFC and AVR systems using PID controller

Salman, Ghassan Abdullah; Jafar, Assama Sahib; Ismael, Ammar Issa

doi:10.11591/ijpeds.v10.i3.pp1694-1704

Cited by 17 publications

(14 citation statements)

References 15 publications

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“…The proposed PSO-based algorithm of allocating and sizing the FACTS devices for improving voltage stability is implemented as follows [36][37][38]:…”

Section: Proposed Algorithmmentioning

confidence: 99%

Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices

Salman

Abood

Ibrahim

2021

IJECE

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The detection of potential voltage collapse in power systems is essential to maintain the voltage stability in heavy load demand. This paper proposes a method to detect weak buses in power systems using two stability indices: the voltage stability margin factor (dS/dY) and the voltage collapse prediction index (VCPI). Hence, the paper aims to improve the voltage stability of Iraqi transmission grid by allocating FACTS devices in the optimal locations and optimal sizes. Two types of FACTS are used in this paper which are Thyristor controlled series compensator (TCSC) and static var compensator (SVC). The objective function of the problem is fitted using particle swarm optimization (PSO). The proposed method is verified using simulation test on Diyala-132 kV network which is a part of the Iraqi power system. The results observed that improvement the voltage stability margin, the voltage profile of Diyala-132 kV is increased and the power losses is decreased.

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“…The proposed PSO-based algorithm of allocating and sizing the FACTS devices for improving voltage stability is implemented as follows [36][37][38]:…”

Section: Proposed Algorithmmentioning

confidence: 99%

Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices

Salman

Abood

Ibrahim

2021

IJECE

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“…Unfortunately, without any controller, the AVR system does not provide a suitable performance [2]. For this, several control methods have been studied and developed in the literature [3][4][5]. One of them is the proportional-integral-derivative (PID) and (PI) controllers which are widely used in industrial control applications and science like AVR systems [4], [6].…”

Section: Introductionmentioning

confidence: 99%

“…For this, several control methods have been studied and developed in the literature [3][4][5]. One of them is the proportional-integral-derivative (PID) and (PI) controllers which are widely used in industrial control applications and science like AVR systems [4], [6]. This popularity is due to their effectiveness, ease of implementation and their simple structure [7].…”

Section: Introductionmentioning

confidence: 99%

Output voltage regulation of synchronous generator using PSO algorithm-based PI controller

Habbi¹,

Gabour²,

Boudissa³

et al. 2021

IJPEDS

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In this paper a regulation of the terminal voltage of synchronous generator (SG) has been developed. Here, the nonlinear model of the SG is used directly without requirement for a linearized mathematical model of the generator. A proportional integral PI-controller is used to adjust the duty cycle of the DC chopper of step-down type for controlling the field voltage and consequently the output voltage of the generator. Furthermore, Particle swarm optimization (PSO) algorithm is employed as an optimization technique for tuning the optimal parameters of the PI controller (Kp and Ki). This is achieved by the minimization of the quadratic output error between the reference voltage and the output voltage calculated from the adopted model at the same time. In order to test the performance of the PSO-PI controller, results are compared with the genetic algorithm (GA). Moreover, to reduce the overshoot resulting in the response of the terminal voltage, a varied reference voltage is adopted. Results obtained show the superiority of the varied reference voltage to decrease the overshoot versus the fixed reference voltage.

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“…They use an adaptive dynamic programming (ADP) method to solve this optimal control problem [22]. Salman et al developed artificial intelligence techniques for AVR and Load-Frequency-Control for an PID controller design [23].…”

Section: Introductionmentioning

confidence: 99%

Optimal Control of AVR System With Tree Seed Algorithm-Based PID Controller

Köse

2020

IEEE Access

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In this study, an optimal Tree-Seed Algorithm (TSA) algorithm-based Proportional-Integral-Derivative (PID) controller is proposed for automatic voltage regulator (AVR) system terminal tracking problem. PID controller gains K p, K i, and K d are optimized with the proposed TSA algorithm based on different objective functions. The TSA-based optimal PID controller's performance is compared with numerous PID controllers, which were developed using different meta-hermetic optimization algorithms in the literature. Several analysis methods including root locus, bode analysis, robustness, and disturbance rejection are studied and compared with reported works in the literature. It is shown that there is still a research gap to improve the tracking performance of the AVR system due to its importance in electrical systems. According to the obtained comparison results, it has been revealed that the proposed TSA-based PID controller improves tracking properties under load change thus it can be effectively used for synchronous generator automatic voltage regulator terminal voltage stability.

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Application of artificial intelligence techniques for LFC and AVR systems using PID controller

Cited by 17 publications

References 15 publications

Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices

Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices

Output voltage regulation of synchronous generator using PSO algorithm-based PI controller

Optimal Control of AVR System With Tree Seed Algorithm-Based PID Controller

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