DocumentCode :
3507289
Title :
Improved algorithm for estimating state variables in power system with highly integrated renewable energy sources
Author :
Muttalib, A. Z M Shahriar ; Islam, Md Ariful ; Siddiqa, Fatima ; Rahman, Sk Obidur ; Hasan, Md Faruk
Author_Institution :
Dept. of EEE, American Int. Univ.- Bangladesh (AIUB), Dhaka, Bangladesh
fYear :
2012
fDate :
18-19 May 2012
Firstpage :
267
Lastpage :
270
Abstract :
Now-a-days renewable sources are connected to the main grid which creates bi-directional power flow in the network. These sources can have variable and unpredictable impact on the system which can produce variable outputs. So, real and reactive power becomes variable throughout the hybrid power system. As a consequence the voltage and angle of the system diverges. Thus a faster technique is needed to compute these state variables for different buses. This paper introduces a modified Newton-Raphson (MNR) method along with modified LU decomposition, optimized acceleration factor and sparse memory allocation to reduce cost and increase speed which is even faster than conventional fast decoupled method. This modified algorithm is highly suitable for hybrid power system for its fast execution.
Keywords :
Newton-Raphson method; distribution networks; hybrid power systems; load flow; power grids; reactive power; renewable energy sources; transmission networks; bi-directional power flow; hybrid power system; modified Newton-Raphson method; reactive power; renewable energy sources; sparse memory allocation; state variables estimation; Acceleration; MATLAB; Matrix decomposition; Sparse matrices; Standards; Integrated hybrid network; Load Flow Analysis; Load flow Algorithom; Renewable Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
Type :
conf
DOI :
10.1109/ICIEV.2012.6317322
Filename :
6317322
Link To Document :
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