Implementation of SVC based on grey theory and fuzzy logic to improve LVRT capability of wind distributed generations

Karami, Mohammad Mehdi; Itami, Akbar

doi:10.3906/elk-1410-153

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Results obtained with the proposed method compared with the results obtained without control [138] SVC is controlled using fuzzy-PI and grey theory to improve voltage fluctuation issues…”

Section: Simulationsmentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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Fuzzy-based control systems have demonstrated a remarkable ability to control nonlinear processes, a characteristic commonly observed in power systems, particularly in the context of power quality enhancement. Despite this, an updated and comprehensive literature review on the applications of fuzzy logic in the domain of power quality control has been lacking. To address this gap, this study critically examines published research on the effective and efficient use of fuzzy logic in resolving quality issues within power systems. Data sources included the Web of Science and academic journal databases, followed by an evaluation of target articles based on predefined criteria. The information was then classified into seven categories, including control system type, features of the fuzzy logic controller, fuzzy logic inference strategy, power quality issue, control device, implementation methodology (efficacy testing), and efficiency improvement. Our study revealed that fuzzy-based control systems have evolved from simple type-1 fuzzy controllers to advanced control systems (type-2 fuzzy and hybrid) capable of effectively addressing complex power quality issues. We believe that the insights gained from this study will be useful to both experienced and inexperienced researchers and industry engineers seeking to leverage fuzzy logic to enhance power quality control.

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“…Results obtained with the proposed method compared with the results obtained without control [138] SVC is controlled using fuzzy-PI and grey theory to improve voltage fluctuation issues…”

Section: Simulationsmentioning

confidence: 99%

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Miron,

Cziker,

Beleiu

2024

Applied Sciences

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“…Advanced models are being researched to represent real systems more accurately in the context of SVC modeling for transient analysis [84], [85]. Furthermore, the control system is being improved in ongoing research aimed at enhancing the low voltage ride through (LVRT) capability of wind farms through the use of SVC [86]- [88]. The location and size of SVC has been a persistent challenge since its initial installation.…”

Section: Current Developments and Future Directions In Facts Technologymentioning

confidence: 99%

Advances in FACTS Technology for Transient Stability in Power Systems

Relić,

Glavaš,

Petrović

et al. 2023

Preprint

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This paper investigates the advances in Flexible AC Transmission System (FACTS) technology and its application in enhancing transient stability in power systems. FACTS devices are becoming increasingly popular due to their ability to improve power system performance by controlling power flow, voltage, and stability. Various FACTS technologies are reviewed, including Static Var Compensator (SVC), Static Synchronous Compensator (STATCOM), and Static Synchronous Series Compensator (SSSC), among others. The impact of these technologies on power system stability is examined and a comprehensive analysis of their effectiveness in mitigating transient stability issues is provided. Recommendations for future research in the field of FACTS technology for improving the reliability and stability of power systems are given in the conclusion.

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“…Mainly, it consists of the following parts: a step down transformer, voltage controller estimating the susceptance value (B), the TCR element and the TSC group, as well as the distribution system which is responsible for determining the values of the firing angle (α) which operate and stop the TCR and TSC. Finally, the phaselocking loop (PLL) synchronizes the voltage in the secondary part [22,23].…”

Section: Operation Principle Of Svcmentioning

confidence: 99%

Hybrid control strategies of SVC for reactive power compensation

Aziz

Abdullah

2020

IJEECS

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<span>This article shows a prospective utilizations of flexible AC transmission system (FACTS) controls, like the static VAR compensator (SVC). One of the major motives for setting up an SVC is to recover dynamic voltage controller and thus increase system load aptitude. Static VAR compensator system proposed in this work consists of thyristor switched capacitor and thyristor controlled reactor sets, this style of SVC modelled using MATLAB simulink toolbox. A hybrid genetic algorithm with PI and fuzzy logic controls that used to control and expand the grid performance of the power system. The model results reveal that the Static Var Compensation contribute a decent result in upholding bus voltage after the power network is in an active and steady moment, besides it has a capability of the constancy control. It can totally work as a significant plan of reactive power recompense in power networks. </span>

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Implementation of SVC based on grey theory and fuzzy logic to improve LVRT capability of wind distributed generations

Cited by 7 publications

References 14 publications

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Fuzzy Control Systems for Power Quality Improvement—A Systematic Review Exploring Their Efficacy and Efficiency

Advances in FACTS Technology for Transient Stability in Power Systems

Hybrid control strategies of SVC for reactive power compensation

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