Hybrid PSO–ANN algorithm to control TCR for voltage balancing

Alkayyali, Malek; Ghaeb, Jasim A.

doi:10.1049/iet-gtd.2019.1246

Cited by 11 publications

(14 citation statements)

References 26 publications

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“…This procedure was followed to reduce the number of parameters used as the input data. Because equations required to calculate the firing angles depend on at least six parameters, including three load voltages, currents, real powers, and reactive powers, therefore using these equations to generate the data during offline mode then excluding part of them as in [27] and [28] affects the quality of data. Consequentially, NN's with complex structures were necessary to perform the regression with results showing moderate performance during the testing phase.…”

Section: Voltage Unbalance Mitigationmentioning

confidence: 99%

“…The use of a PI controller with SVC for voltage regulation purposes was discussed in [25]. Hybrid algorithms that use neural networks (NNs) during online mode for voltage balancing and other algorithms to generate the firing angles of the TCR compensator during offline mode were considered [26]− [28]. A fuzzy ranking system was used in [26] to provide the optimum set of firing angles based on harmonic minimization.…”

Section: Introductionmentioning

confidence: 99%

“…Rubaiey and Rubayi [27], a gravitational search algorithm (GSA) replaced the fuzzy logic with the same objectives of reducing harmonics and restoring voltage balancing. Particle swarm optimization (PSO) algorithm with the objective function of reducing VUF was proposed in [28]. Ragab et al [29], proposed the NN was implemented during the online mode to retrieve voltage balance, while data required for NN training were obtained using an experimentally.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of reactive compensator for voltage balancing using AI based models and novel performance index

Ragab

Ghaeb²

2022

IJPEDS

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Voltage-unbalance is one of the power quality deficiencies that degrades electrical power systems performance. In this work, voltage unbalance problem is tackled through two stages; evaluation using a novel performance index and mitigation using a thyristor-controlled reactor (TCR) compensator with artificial intelligent (AI) based models. Unlike standard performance indices that rely on voltages' root mean square (RMS) values, the proposed index depends on the space vector (SV) signal amplitude for voltage unbalance evaluation. This signal depends on the instantaneous values of the three-phase voltages and has twice the system frequency. Therefore, the proposed index entitled as space vector unbalance factor (SVUF) reflects the amount of voltage unbalance and reduces the time necessary for evaluation by half. Subsequently, advanced models based on several algorithms are proposed to generate the required firing angles for TCR compensator to restore voltage balance, including radial basis functions networks (RBFNs), hybrid-RBFNs (H-RBFNs), polynomials (PNs), and simplified neural networks (NNs). Models' structure, prediction capability, and response time are analyzed. Results show that the time required for voltage unbalance mitigation is reduced. Moreover, the models used to generate the firing angles are simplified significantly while maintaining high accuracy.

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Section: Voltage Unbalance Mitigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Implementation of reactive compensator for voltage balancing using AI based models and novel performance index

Ragab

Ghaeb²

2022

IJPEDS

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“…Sawitri et al [42] Okelola et al [43] applied the support vector machine (SVM) and neural network (NN) respectively to detect the voltage unbalance in induction motors. Additionally, Alkayyati et al [44], [45] employed optimization with machine learning techniques to solve the unbalance problem in electrical power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Fast detection technique for voltage unbalance in three-phase power system

Al‐Naimi

Ghaeb²,

Baniyounis³

et al. 2021

IJPEDS

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In this paper, the problem of voltage unbalance in the three-phase power systems is examined. A fast detection technique (FDT) is proposed to detect the voltage unbalance precisely and speedily. The well-known detection methods require more than one cycle time to detect the unbalanced voltages, whereas the proposed technique detects the unbalanced situations speedily in a discrete manner. Reducing the time duration required to detect the unbalanced voltages will enhance the dynamic response of the control system used to balance these voltages. The FDT acquires the instantaneous values of the three load voltages, calculates the sum and the space vector for these voltages at each sample, and utilizes these parameters to detect the voltage unbalance accurately within a quarter of the cycle time. A proof-of-concept simulation model for a real power system has been built. The parameters of the aqaba-qatrana-south amman (AQSA) Jordanian power system are considered in the simulation model. Also, several test cases have been conducted to test and validate the capabilities of the proposed technique.

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“…I. Panfilov et al, , 2017bDmitry I. Panfilov et al, 2019;Rahmani et al, 2014;Tehrani et al, 2011;Tokiwa et al, 2017). There are few publications dedicated to shuntconnected reactive power compensators for the smooth compensation of reactive power in low voltage grid (Alkayyali & Ghaeb, 2020;Balcells & Bogónez-Franco, 2013;Beck, Berlovich, & Braunstein, 2016;Beck, Berlovich, Muller, et al, 2016;Bogónez-Franco et al, 2011;Dong et al, 2012;Köse & Irmak, 2016). However, all these publications are dedicated to symmetric compensation of reactive power in all three phases and in most of them just the simulation results are presented.…”

Section: Shunt-connected Reactive Power Compensatormentioning

confidence: 99%

Development of smooth asymmetric reactive power compensators

Šapurov¹

2020

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Hybrid PSO–ANN algorithm to control TCR for voltage balancing

Cited by 11 publications

References 26 publications

Implementation of reactive compensator for voltage balancing using AI based models and novel performance index

Implementation of reactive compensator for voltage balancing using AI based models and novel performance index

Fast detection technique for voltage unbalance in three-phase power system

Development of smooth asymmetric reactive power compensators

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