Comparison of hybrid differential evolution algorithm with genetic algorithm based power system security analysis using FACTS
المؤلفون المشاركون
Venkata Padmavathi S.
Sahu, Sarat Kumar
Jayalaxmi, A.
المصدر
العدد
المجلد 11، العدد 2 (30 يونيو/حزيران 2015)، ص ص. 189-202، 14ص.
الناشر
تاريخ النشر
2015-06-30
دولة النشر
الجزائر
عدد الصفحات
14
التخصصات الرئيسية
الموضوعات
الملخص EN
-This paper presents a novel stochastic hybrid differential evolutionary algorithm technique to find the optimal location of Flexible Alternating Current Transmission System (FACTS) devices with minimum cost of installation and to improve power system security and is compared with Genetic Algorithm (GA).
Differential Evolution (DE) algorithm technique is a simple evolutionary search algorithm and shows better performance but greedy in space searching.
Particle Swarm Optimization (PSO) converges quickly and but stuck in local optima.
A novel heuristic method based on Genetic algorithm also used to find optimal location of FACTS devices to enhance the power system security and no absolute assurance of global optimum.
In this paper hybrid differential evolutionary algorithm (DEPSO) is introduced to eliminate the problems of DE and PSO and solve the power system security problem with greater accuracy and compared with Genetic Algorithm.
The proposed algorithm minimizes the security index, loss and the installation cost of FACTS devices in the transmission network.
Security index indicates the overload level of the transmission lines.
Three types of FACTS devices, Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are considered and the proposed algorithm is verified by standard IEEE 14 bus network
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Venkata Padmavathi S.& Sahu, Sarat Kumar& Jayalaxmi, A.. 2015. Comparison of hybrid differential evolution algorithm with genetic algorithm based power system security analysis using FACTS. Journal of Electrical Systems،Vol. 11, no. 2, pp.189-202.
https://search.emarefa.net/detail/BIM-577861
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Venkata Padmavathi S.…[et al.]. Comparison of hybrid differential evolution algorithm with genetic algorithm based power system security analysis using FACTS. Journal of Electrical Systems Vol. 11, no. 2 (Jun. 2015), pp.189-202.
https://search.emarefa.net/detail/BIM-577861
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Venkata Padmavathi S.& Sahu, Sarat Kumar& Jayalaxmi, A.. Comparison of hybrid differential evolution algorithm with genetic algorithm based power system security analysis using FACTS. Journal of Electrical Systems. 2015. Vol. 11, no. 2, pp.189-202.
https://search.emarefa.net/detail/BIM-577861
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 201-202
رقم السجل
BIM-577861
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