Faster load flow analysis

Rahul Saxena, R. Jaya Krishna, D. P. Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of International Conference on ICT for Sustainable Development, ICT4SD 2015
EditorsSuresh Chandra Satapathy, Nilesh Modi, Nisarg Pathak, Amit Joshi
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9789811001277
Publication statusPublished - 2016
EventInternational Conference on Information and Communication Technology for Sustainable Development, ICT4SD 2015 - Ahmedabad, India
Duration: 03-07-201504-07-2015

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


ConferenceInternational Conference on Information and Communication Technology for Sustainable Development, ICT4SD 2015

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)


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