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Hybridization of particle swarm optimization with differential evolution for solving combined economic emission dispatch model for smart grid
Other Title(s)
تهجين استمثال عناصر السرب مع خوارزمية التطور التفاضلي لحل نموذج CEED لنظام الشبكة الذكية
Author
Source
Journal of Engineering Research
Issue
Vol. 7, Issue 3 (30 Sep. 2019), pp.244-257, 14 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2019-09-30
Country of Publication
Kuwait
No. of Pages
14
Main Subjects
Abstract AR
يقدم هذا البحث نموذج CEED لنظام الشبكة الذكية وتقديم الحلول له عن طريق تهجين خوارزميات الأمثلية المعروفة مثل خوارزمية استمثال عناصر السرب (PSO) وخوارزمية التطور التفاضلي (DE).
تم تهجين الخوارزميتين عن طريق تحديث الحلول لهما والجمع بينهما بواسطة عملية البحث العشوائي.
يخضع نموذج CEED لتقليل تكلفته إلى الحد الأدنى بحيث يمكن الحفاظ على المفاضلة الكافية بين التكاليف الاقتصادية و تكاليف الانبعاثات.
تم تجربة الخوارزمية الهجينة المقترحة على ثلاثة أنظمة نقل مختلفة، و تم مقارنة أدائها مع خوارزميات PSO و DE كلاً على انفراد.
و أوضحت نتائج المقارنة تفوق خوارزمية البحث الهجينة المقترحة من حيث جودة الحل و الكفاءة الحسابية.
Abstract EN
This paper introduces a CEED model for smart grid system and solves it by hybridizing the renowned optimization algorithms such as Particle Swarm Optimization (PSO) and Differential Evolution (DE).
The hybridization of these two renowned algorithms is accomplished by using the solution updating process of both algorithms and combining them with random searching procedure.
The CEED model is subjected to minimize its cost so that adequate trade-off between the economic and emission costs can be maintained in minimizing them.
The proposed hybrid algorithm is experimented on three different bus systems, and its performance is compared against individual PSO and DE and a recently framed hybridization of PSO and DE.
The comparison results show the superiority of the proposed hybrid heuristic search algorithm in terms of solution quality and the computational efficiency.
American Psychological Association (APA)
Yadav, Naresh Kumar. 2019. Hybridization of particle swarm optimization with differential evolution for solving combined economic emission dispatch model for smart grid. Journal of Engineering Research،Vol. 7, no. 3, pp.244-257.
https://search.emarefa.net/detail/BIM-1494772
Modern Language Association (MLA)
Yadav, Naresh Kumar. Hybridization of particle swarm optimization with differential evolution for solving combined economic emission dispatch model for smart grid. Journal of Engineering Research Vol. 7, no. 3 (Sep. 2019), pp.244-257.
https://search.emarefa.net/detail/BIM-1494772
American Medical Association (AMA)
Yadav, Naresh Kumar. Hybridization of particle swarm optimization with differential evolution for solving combined economic emission dispatch model for smart grid. Journal of Engineering Research. 2019. Vol. 7, no. 3, pp.244-257.
https://search.emarefa.net/detail/BIM-1494772
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 255-256
Record ID
BIM-1494772