The analysis of hybrid System as DG in Smart Grids by the use of Loss Sensitivity Coefficient Method
Publish place: Conference on Smart Electrical Grids Technology (SEGT2012)
Publish Year: 1391
Type: Conference paper
Language: English
View: 1,041
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
SEGT01_039
Index date: 24 November 2013
The analysis of hybrid System as DG in Smart Grids by the use of Loss Sensitivity Coefficient Method abstract
Along with the recent improvements in the smart grids technology, the analysis of different types of Distributed Generations (DGs) in the system has become more important. Therefore in this paper, a hybrid system including photovoltaic, wind turbine, Solid Oxide Fuel Cell (SOFC) with storage device as a power source isutilized in the smart-grid distribution systems. As the result of intrinsic variations in these types of power sources, the use of hybridsystem can improve the operation reliability of the network. In this situation, the requirements to preserve the environment, lossreduction and voltage profile enhancement is supplied sufficiently. Also, the loss sensitivity coefficient is utilized in this paper to find theoptimal location and size of the hybrid system in the 33 bus IEEE distribution system
The analysis of hybrid System as DG in Smart Grids by the use of Loss Sensitivity Coefficient Method Keywords:
The analysis of hybrid System as DG in Smart Grids by the use of Loss Sensitivity Coefficient Method authors
O Zeidabadi Nezhad
Islamic azad university of najafabad branch,
S.A Hashemi Zadeh
Islamic azad university of najafabad branch
M Mohammadian
Shahid bahonar university of kerman
A.A Gharaveisi
Shahid bahonar university of kerman
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :