A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm
المؤلفون المشاركون
Chen, Xiang
Ye, Cheng-En
Huang, Yu-Pei
المصدر
International Journal of Photoenergy
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
This paper proposes a modified maximum power point tracking (MPPT) algorithm for photovoltaic systems under rapidly changing partial shading conditions (PSCs).
The proposed algorithm integrates a genetic algorithm (GA) and the firefly algorithm (FA) and further improves its calculation process via a differential evolution (DE) algorithm.
The conventional GA is not advisable for MPPT because of its complicated calculations and low accuracy under PSCs.
In this study, we simplified the GA calculations with the integration of the DE mutation process and FA attractive process.
Results from both the simulation and evaluation verify that the proposed algorithm provides rapid response time and high accuracy due to the simplified processing.
For instance, evaluation results demonstrate that when compared to the conventional GA, the execution time and tracking accuracy of the proposed algorithm can be, respectively, improved around 69.4% and 4.16%.
In addition, in comparison to FA, the tracking speed and tracking accuracy of the proposed algorithm can be improved around 42.9% and 1.85%, respectively.
Consequently, the major improvement of the proposed method when evaluated against the conventional GA and FA is tracking speed.
Moreover, this research provides a framework to integrate multiple nature-inspired algorithms for MPPT.
Furthermore, the proposed method is adaptable to different types of solar panels and different system formats with specifically designed equations, the advantages of which are rapid tracking speed with high accuracy under PSCs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Yu-Pei& Chen, Xiang& Ye, Cheng-En. 2018. A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm. International Journal of Photoenergy،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1174387
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Yu-Pei…[et al.]. A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm. International Journal of Photoenergy No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1174387
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Yu-Pei& Chen, Xiang& Ye, Cheng-En. A Hybrid Maximum Power Point Tracking Approach for Photovoltaic Systems under Partial Shading Conditions Using a Modified Genetic Algorithm and the Firefly Algorithm. International Journal of Photoenergy. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1174387
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1174387
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