Fuzzy neural technique based dynamic voltage restorer for power quality enhancement under different voltage variations
المؤلفون المشاركون
Zayir, Wail Husayn
Shukir, Samhar Said
Ali, Abd al-Jabbar Fadil
المصدر
Wasit Journal of Engineering Sciences
العدد
المجلد 7، العدد 3 (31 ديسمبر/كانون الأول 2019)، ص ص. 29-40، 12ص.
الناشر
تاريخ النشر
2019-12-31
دولة النشر
العراق
عدد الصفحات
12
التخصصات الرئيسية
الموضوعات
الملخص EN
Recently a large interest has been focused on power quality field due to: disturbances caused by non-linear loads, Increase in the number of electronic devices and renewable energy sources.
Power quality measures the fitness of the electric power transmitted from generation to the industrial, domestic and commercial consumers.
In a power system voltage distortion introduced by harmonics and voltage sags are the most severe affecting power quality, because of both consumers and utilities are affected by these disturbances.
Different methods to enhance the power quality but the custom power device is the most effective and efficient method.
One of which is the use of Dynamic Voltage Restorer (DVR).
The performance of the DVR based on Fuzzy Neural controller to restore the load voltage to its nominal value under different fault conditions and power disturbances is presented in this paper.
Simulation results are carried out using MATLAB/SIMULINK program.
The faults and disturbances are initiated at 0.8s and kept till Recently a large interest has been focused on power quality field due to: disturbances caused by non-linear loads, Increase in the number of electronic devices and renewable energy sources.
Power quality measures the fitness of the electric power transmitted from generation to the industrial, domestic and commercial consumers.
In a power system voltage distortion introduced by harmonics and voltage sags are the most severe affecting power quality, because of both consumers and utilities are affected by these disturbances.
Different methods to enhance the power quality but the custom power device is the most effective and efficient method.
One of which is the use of Dynamic Voltage Restorer (DVR).
The performance of the DVR based on Fuzzy Neural controller to restore the load voltage to its nominal value under different fault conditions and power disturbances is presented in this paper.
Simulation results are carried out using MATLAB/SIMULINK program.
The faults and disturbances are initiated at 0.8s and kept till 0.95s.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ali, Abd al-Jabbar Fadil& Zayir, Wail Husayn& Shukir, Samhar Said. 2019. Fuzzy neural technique based dynamic voltage restorer for power quality enhancement under different voltage variations. Wasit Journal of Engineering Sciences،Vol. 7, no. 3, pp.29-40.
https://search.emarefa.net/detail/BIM-1094109
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ali, Abd al-Jabbar Fadil…[et al.]. Fuzzy neural technique based dynamic voltage restorer for power quality enhancement under different voltage variations. Wasit Journal of Engineering Sciences Vol. 7, no. 3 (2019), pp.29-40.
https://search.emarefa.net/detail/BIM-1094109
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ali, Abd al-Jabbar Fadil& Zayir, Wail Husayn& Shukir, Samhar Said. Fuzzy neural technique based dynamic voltage restorer for power quality enhancement under different voltage variations. Wasit Journal of Engineering Sciences. 2019. Vol. 7, no. 3, pp.29-40.
https://search.emarefa.net/detail/BIM-1094109
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 39-40
رقم السجل
BIM-1094109
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر