TY - GEN
T1 - Faster load flow analysis
AU - Saxena, Rahul
AU - Jaya Krishna, R.
AU - Sharma, D. P.
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2016.
PY - 2016
Y1 - 2016
N2 - Over the past few decades, load flow algorithms for radial distribution networks have been an area of interest for researches, which has led to improvement in the approach and results for the problem. Different procedures and algorithms have been followed in lieu of performance enhancement in terms of simplicity of implementation, execution time, and memory space requirements. The implementation of load flow algorithm using CUDA parallel programming architecture for a radial distribution network is discussed. The computations involved in serial algorithm for load current, branch impedances, etc., have been parallelized using CUDA programming model. The end result will be an improvement in execution time of the algorithm as compared to the running time of the algorithm over CPU. Finally, a comparison has been drawn between the serial and parallel approaches, where an improvement in execution time has been shown over the functions involved in computations.
AB - Over the past few decades, load flow algorithms for radial distribution networks have been an area of interest for researches, which has led to improvement in the approach and results for the problem. Different procedures and algorithms have been followed in lieu of performance enhancement in terms of simplicity of implementation, execution time, and memory space requirements. The implementation of load flow algorithm using CUDA parallel programming architecture for a radial distribution network is discussed. The computations involved in serial algorithm for load current, branch impedances, etc., have been parallelized using CUDA programming model. The end result will be an improvement in execution time of the algorithm as compared to the running time of the algorithm over CPU. Finally, a comparison has been drawn between the serial and parallel approaches, where an improvement in execution time has been shown over the functions involved in computations.
UR - http://www.scopus.com/inward/record.url?scp=84959017811&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959017811&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-0129-1_5
DO - 10.1007/978-981-10-0129-1_5
M3 - Conference contribution
AN - SCOPUS:84959017811
SN - 9789811001277
T3 - Advances in Intelligent Systems and Computing
SP - 45
EP - 54
BT - Proceedings of International Conference on ICT for Sustainable Development, ICT4SD 2015
A2 - Satapathy, Suresh Chandra
A2 - Modi, Nilesh
A2 - Pathak, Nisarg
A2 - Joshi, Amit
PB - Springer Verlag
T2 - International Conference on Information and Communication Technology for Sustainable Development, ICT4SD 2015
Y2 - 3 July 2015 through 4 July 2015
ER -