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Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems
المؤلفون المشاركون
Nguyen, Thang Trung
Van Dai, Le
Pham, Thai Dinh
Kien, Le Chi
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-34، 34ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-13
دولة النشر
مصر
عدد الصفحات
34
التخصصات الرئيسية
الملخص EN
This paper proposes an improved coyote optimization algorithm (ICOA) for optimizing the location and sizing of solar photovoltaic distribution generation units (PVDGUs) in radial distribution systems.
In the considered problem, four single objectives consisting of total power losses, capacity of all PVDGUs, voltage profile index, and harmonic distortions are minimized independently while satisfying branch current limits, voltage limits, and harmonic distortion limits exactly and simultaneously.
The performance of the proposed ICOA method has been improved significantly since two improvements were carried out on the two new solution generations of the conventional coyote optimization algorithm (COA).
By finding four single objectives from two IEEE distribution power systems with 33 buses and 69 buses, the impact of each proposed improvement and two proposed improvements on the real performance of ICOA has been investigated.
ICOA was superior to COA in terms of capability of finding higher quality solutions, more stable search ability, and faster convergence speed.
Furthermore, we have also applied five other metaheuristic algorithms consisting of biogeography-based optimization (BBO), genetic algorithm (GA), particle swarm optimization algorithm (PSO), sunflower optimization (SFO), and salp swarm algorithm (SSA) for dealing with the same problem and evaluating further performance of ICOA.
The result comparisons have also indicated the outstanding performance of ICOA because it could find much better results than these methods, especially SFO, SSA, and GA.
Consequently, the proposed ICOA is a very effective method for finding the optimal location and capacity of PVDGUs in radial distribution power systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Nguyen, Thang Trung& Pham, Thai Dinh& Kien, Le Chi& Van Dai, Le. 2020. Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems. Complexity،Vol. 2020, no. 2020, pp.1-34.
https://search.emarefa.net/detail/BIM-1139924
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Nguyen, Thang Trung…[et al.]. Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems. Complexity No. 2020 (2020), pp.1-34.
https://search.emarefa.net/detail/BIM-1139924
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Nguyen, Thang Trung& Pham, Thai Dinh& Kien, Le Chi& Van Dai, Le. Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems. Complexity. 2020. Vol. 2020, no. 2020, pp.1-34.
https://search.emarefa.net/detail/BIM-1139924
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139924
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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