Ant Colony Search Algorithm for Optimal Generators Startup during Power System Restoration

المؤلفون المشاركون

Ketabi, Abbas
Feuillet, Rene

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2010، العدد 2010 (31 ديسمبر/كانون الأول 2010)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2010-03-30

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Generators startup sequence plays a significant role in achieving a suitable and effective restoration strategy.

This paper outlines an ant colony search algorithm in order to determine the generator starting times during the bulk power system restoration.

The algorithm attempts to maximize the system generation capability over a restoration period, where the dynamic characteristics of different types of units and system constraints are considered.

Applying this method for the 39-bus New England test system, and comparing the results with backtracking-search and P/t methods, it is found that proposed algorithm improved generation capability.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Ketabi, Abbas& Feuillet, Rene. 2010. Ant Colony Search Algorithm for Optimal Generators Startup during Power System Restoration. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-507066

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Ketabi, Abbas& Feuillet, Rene. Ant Colony Search Algorithm for Optimal Generators Startup during Power System Restoration. Mathematical Problems in Engineering No. 2010 (2010), pp.1-11.
https://search.emarefa.net/detail/BIM-507066

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Ketabi, Abbas& Feuillet, Rene. Ant Colony Search Algorithm for Optimal Generators Startup during Power System Restoration. Mathematical Problems in Engineering. 2010. Vol. 2010, no. 2010, pp.1-11.
https://search.emarefa.net/detail/BIM-507066

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-507066