Unit commitment solution based on improved particle swarm optimization method
المؤلفون المشاركون
Abbas, Ali Ibrahim
Abbud, Afanin Anwar
المصدر
Engineering and Technology Journal
العدد
المجلد 39، العدد 10 (31 أكتوبر/تشرين الأول 2021)، ص ص. 1601-1609، 9ص.
الناشر
تاريخ النشر
2021-10-31
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
الموضوعات
الملخص EN
This paper presents an algorithm to solve the unit commitment problem using the intelligence technique based on improved Particle Swarm Optimization (IPSO) for establishing the optimal scheduling of the generating units in the electric power system with the lowest production cost during a specified time and subjected to all the constraints.
The minimum production cost is calculated based on using the Lambda Iteration method.
A conventional method was also used for solving the unit commitment problem using the Dynamic Programming method (DP).
The two methods were tested on the 14-bus IEEE test system and the results of both methods were compared with each other and with other references.
The comparison showed the effectiveness of the proposed method over other This paper presents an algorithm to solve the unit commitment problem using the intelligence technique based on improved Particle Swarm Optimization (IPSO) for establishing the optimal scheduling of the generating units in the electric power system with the lowest production cost during a specified time and subjected to all the constraints.
The minimum production cost is calculated based on using the Lambda Iteration method.
A conventional method was also used for solving the unit commitment problem using the Dynamic Programming method (DP).
The two methods were tested on the 14-bus IEEE test system and the results of both methods were compared with each other and with other references.
The comparison showed the effectiveness of the proposed method over other methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abbas, Ali Ibrahim& Abbud, Afanin Anwar. 2021. Unit commitment solution based on improved particle swarm optimization method. Engineering and Technology Journal،Vol. 39, no. 10, pp.1601-1609.
https://search.emarefa.net/detail/BIM-1281508
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abbas, Ali Ibrahim& Abbud, Afanin Anwar. Unit commitment solution based on improved particle swarm optimization method. Engineering and Technology Journal Vol. 39, no. 10 (2021), pp.1601-1609.
https://search.emarefa.net/detail/BIM-1281508
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abbas, Ali Ibrahim& Abbud, Afanin Anwar. Unit commitment solution based on improved particle swarm optimization method. Engineering and Technology Journal. 2021. Vol. 39, no. 10, pp.1601-1609.
https://search.emarefa.net/detail/BIM-1281508
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes appendix : p. 1608-1609
رقم السجل
BIM-1281508
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