Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM

Voltage stability and power quality play very effective issues in power systems. This paper aims to improve the voltage stability and enhance system power quality in the AC-DC micro-grid system based on intelligent fuzzy controllers. These controllers are fuzzy-PI (FPI) and fuzzy-PID (FPID) current-...

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Autores principales: Abdelnasser A. Nafeh, Aya Heikal, Ragab A. El-Sehiemy, Waleed A.A. Salem
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Lenguaje:EN
Publicado: Elsevier 2022
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spelling oai:doaj.org-article:f821ae431ac346748ce65e00746fd6252021-12-02T04:59:40ZIntelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM1110-016810.1016/j.aej.2021.07.012https://doaj.org/article/f821ae431ac346748ce65e00746fd6252022-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1110016821004804https://doaj.org/toc/1110-0168Voltage stability and power quality play very effective issues in power systems. This paper aims to improve the voltage stability and enhance system power quality in the AC-DC micro-grid system based on intelligent fuzzy controllers. These controllers are fuzzy-PI (FPI) and fuzzy-PID (FPID) current-controller with the existence of distribution static synchronous compensator (D-STATCOM). The capability of proposed system has been applied in two case studies that emulate abrupt fault and dynamic load changes on AC-DC hybrid micro-grid that collects different types of renewable energy sources. In addition to, the proposed fuzzy-based controllers produce the optimum dynamic response and resolve the power quality issues. Numerical simulations associated with detailed comparisons between different controllers are provided. It was found that when the studied system is subjected to a 3-phase fault, the voltage fluctuation at the D-STATCOM is reduced by 7.86% and 4.62% and the dynamic system performance is improved by 12.9% and 8.8% with using Fuzzy-PID and fuzzy-PI, respectively. Also with the dynamic load changes, the fluctuation of system voltages at the D-STATCOM is reduced by 0.982% and 0.577 % and the dynamic system performance is improved with 6.67%, 5.71% when comparing Fuzzy-PID controller and Fuzzy-PI to the uncontrolled system. The Fuzzy-PID provides a capability to enhance dynamic performance and system power quality because achieve less fluctuation and more smoothing for signals makes it is superior for voltage control for AC-DC micro-grid.Abdelnasser A. NafehAya HeikalRagab A. El-SehiemyWaleed A.A. SalemElsevierarticleDistribution Static synchronous compensator (D-STATCOM)Fuzzy-PI Current ControllerFuzzy-PID current-controllerHybrid micro-gridPower quality and Voltage stabilityEngineering (General). Civil engineering (General)TA1-2040ENAlexandria Engineering Journal, Vol 61, Iss 3, Pp 2260-2293 (2022)
institution DOAJ
collection DOAJ
language EN
topic Distribution Static synchronous compensator (D-STATCOM)
Fuzzy-PI Current Controller
Fuzzy-PID current-controller
Hybrid micro-grid
Power quality and Voltage stability
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Distribution Static synchronous compensator (D-STATCOM)
Fuzzy-PI Current Controller
Fuzzy-PID current-controller
Hybrid micro-grid
Power quality and Voltage stability
Engineering (General). Civil engineering (General)
TA1-2040
Abdelnasser A. Nafeh
Aya Heikal
Ragab A. El-Sehiemy
Waleed A.A. Salem
Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
description Voltage stability and power quality play very effective issues in power systems. This paper aims to improve the voltage stability and enhance system power quality in the AC-DC micro-grid system based on intelligent fuzzy controllers. These controllers are fuzzy-PI (FPI) and fuzzy-PID (FPID) current-controller with the existence of distribution static synchronous compensator (D-STATCOM). The capability of proposed system has been applied in two case studies that emulate abrupt fault and dynamic load changes on AC-DC hybrid micro-grid that collects different types of renewable energy sources. In addition to, the proposed fuzzy-based controllers produce the optimum dynamic response and resolve the power quality issues. Numerical simulations associated with detailed comparisons between different controllers are provided. It was found that when the studied system is subjected to a 3-phase fault, the voltage fluctuation at the D-STATCOM is reduced by 7.86% and 4.62% and the dynamic system performance is improved by 12.9% and 8.8% with using Fuzzy-PID and fuzzy-PI, respectively. Also with the dynamic load changes, the fluctuation of system voltages at the D-STATCOM is reduced by 0.982% and 0.577 % and the dynamic system performance is improved with 6.67%, 5.71% when comparing Fuzzy-PID controller and Fuzzy-PI to the uncontrolled system. The Fuzzy-PID provides a capability to enhance dynamic performance and system power quality because achieve less fluctuation and more smoothing for signals makes it is superior for voltage control for AC-DC micro-grid.
format article
author Abdelnasser A. Nafeh
Aya Heikal
Ragab A. El-Sehiemy
Waleed A.A. Salem
author_facet Abdelnasser A. Nafeh
Aya Heikal
Ragab A. El-Sehiemy
Waleed A.A. Salem
author_sort Abdelnasser A. Nafeh
title Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
title_short Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
title_full Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
title_fullStr Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
title_full_unstemmed Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM
title_sort intelligent fuzzy-based controllers for voltage stability enhancement of ac-dc micro-grid with d-statcom
publisher Elsevier
publishDate 2022
url https://doaj.org/article/f821ae431ac346748ce65e00746fd625
work_keys_str_mv AT abdelnasseranafeh intelligentfuzzybasedcontrollersforvoltagestabilityenhancementofacdcmicrogridwithdstatcom
AT ayaheikal intelligentfuzzybasedcontrollersforvoltagestabilityenhancementofacdcmicrogridwithdstatcom
AT ragabaelsehiemy intelligentfuzzybasedcontrollersforvoltagestabilityenhancementofacdcmicrogridwithdstatcom
AT waleedaasalem intelligentfuzzybasedcontrollersforvoltagestabilityenhancementofacdcmicrogridwithdstatcom
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