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گواهی نمایه سازی مقاله Computing and Analysis of Transfer Capability in Different Scenarios for Khorasan Transmission Network Using Genetic Algorithm

عنوان مقاله: Computing and Analysis of Transfer Capability in Different Scenarios for Khorasan Transmission Network Using Genetic Algorithm
شناسه (COI) مقاله: PSC20_178
منتشر شده در بیستمین کنفرانس بین المللی برق در سال ۱۳۸۴
مشخصات نویسندگان مقاله:

Mohammad Amin Latifi - M.Sc. Student Electrical Department, Faculty of Engineering, Ferdowsi University of Mashhad Research & Standards Department, Khorasan Electricity Utility
Habib Rajabi Mashhadi - Assistant Professor Department, Faculty of Engineering, Ferdowsi University of Mashhad Research & Standards Department, Khorasan Electricity Utility
Mohammad Bagher Asadi - M.Sc. Student Department, Faculty of Engineering, Ferdowsi University of Mashhad Research & Standards Department, Khorasan Electricity Utility

خلاصه مقاله:
A key concept in restructuring of power industry is Available Transfer Capability (ATC). In several decision making problems and from different viewpoints, the ATC plays an important role and should be computed. In this paper the ATC is determined and analyzed from the planning aspect. The problem is formulated for a regional power system, namely Khorasan province transmission network. Computing of ATC through a specified path which determined in the network formulated as an optimization problem. The aim is to maximize amount of transferable power through the specified path subject to the load flow equations and transmission constraints. Regarding to geographical position of the province, he model is generalized to consider simultaneous transfer capability. Using a probabilistic model, effects of single contingencies on the ATC will be discussed. The Genetic Algorithm as a powerful optimizer is used for solving the problem. Analysis of results shows the proposed method is practical and it would help system planner in the expansion planning process.

کلمات کلیدی:
ATC, Simultaneous ATC, Contingency, GA, Transmission Planning

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-PSC20-PSC20_178.html