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Behravesh, Vahid, Moravej, Zahra. (1393). Optimal Placement of Phasor Measurement Units in Khorasan Network Using a Hybrid Intelligent Technique. نشریه هنرهای کاربردی, 01(1), 9-13. doi: 10.22075/mseee.2015.237
Vahid Behravesh; Zahra Moravej. "Optimal Placement of Phasor Measurement Units in Khorasan Network Using a Hybrid Intelligent Technique". نشریه هنرهای کاربردی, 01, 1, 1393, 9-13. doi: 10.22075/mseee.2015.237
Behravesh, Vahid, Moravej, Zahra. (1393). 'Optimal Placement of Phasor Measurement Units in Khorasan Network Using a Hybrid Intelligent Technique', نشریه هنرهای کاربردی, 01(1), pp. 9-13. doi: 10.22075/mseee.2015.237
Behravesh, Vahid, Moravej, Zahra. Optimal Placement of Phasor Measurement Units in Khorasan Network Using a Hybrid Intelligent Technique. نشریه هنرهای کاربردی, 1393; 01(1): 9-13. doi: 10.22075/mseee.2015.237

Optimal Placement of Phasor Measurement Units in Khorasan Network Using a Hybrid Intelligent Technique

Modeling and Simulation in Electrical and Electronics Engineering
مقاله 1، دوره 01، شماره 1، اردیبهشت 2015، صفحه 9-13    اصل مقاله (300.3 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/mseee.2015.237
نویسندگان
Vahid Behravesh* 1؛ Zahra Moravej2
1Department of Electrical Engineering, Bardaskan Branch, Islamic Azad University
2Department of Electrical and Computer Engineering, Semnan University
تاریخ دریافت: 10 اردیبهشت 1393،  تاریخ بازنگری: 16 تیر 1393،  تاریخ پذیرش: 15 مهر 1393 
چکیده
In this paper, an efficient and comprehensive hybrid intelligent technique for the optimal placement of phasor measurement units (PMUs) is proposed to minimize the number of PMU installation subjected to full network observability. Three main purposes of PMUs output synchronous measurements are monitoring, control, and protection of power system. We have combined Binary Imperialistic Competition Algorithm (BICA) and Genetic Algorithm (GA) for assuring complete observability under normal and single PMU loss or single line outage cases. Zero-injected buses which are transfer buses in the power system network are considered to obtain the best performance. They have capability to reduce the number of required PMUs for full observation of the power system network. The effectiveness of the proposed method is verified via 400 kV Khorasan network using MATLAB software environment. Experimental results show that minimum number of required PMUs and maximum bus observations can be achived by the proposed method.
کلیدواژه‌ها
Genetic algorithm؛ Phasor Measurement Units؛ Binary Imperialistic Competition Algorithm
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