Abstract
This paper has been proposed to present a simple approach for load flow analysis of a radial distribution network using parallel programming in Computationally Unified Device Architecture (CUDA). The proposed approach applies Breadth First Search to evaluate the nodes in the network and Kirchhoff’s current law (KCL) as well as Kirchhoff’s Voltage Law (KVL) for evaluating the current and voltages at each of the network nodes. The procedure is repeated till the convergence criterion is achieved. The paper demonstrates the working of Breadth First Search using CUDA. The efficiency of load flow algorithm has been enhanced by utilizing parallel computational power of Graphics Processing Unit (GPU). This approach has been tested for 33-nodes as well as for 69-nodes radial distribution systems and comparison has been done between the performances of sequential approach over CPU and parallel approach on GPU. The results show that introducing CUDA to load flow analysis speeds up the performance of the system by faster executions and gives accurate desired results as compared to sequential approach.
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Bhatt, C., Saxena, R., Sharma, D.P., Jaya Krishna, R. (2016). Parallelization of Load Flow Analysis. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 409. Springer, Singapore. https://doi.org/10.1007/978-981-10-0135-2_42
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DOI: https://doi.org/10.1007/978-981-10-0135-2_42
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