Neural Network based stochastic load flow analysis

Amit Jain, S. C. Tripathy, R. Balasubramanian, Kamal Garg, Yoshiyuki Kawazoe

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Neural Network based method for the analysis of stochastic load flow is presented in this paper. Stochastic load flow is a method for calculation of the effects of inaccuracies in input data on all output quantities through the load flow calculations. This gives a range of values for each output quantity, which represent the operative condition of the system, to a high degree of probability. It is desirable to know the state of the power system, with consideration of input data accuracies, on instant-to-instant basis and present method of neural network application to stochastic load flow problem is an effort in that direction. The proposed neural network model has been tested on a sample power system and simulation results are presented.

本文言語English
ホスト出版物のタイトル2004 International Conference on Power System Technology, POWERCON 2004
ページ1845-1850
ページ数6
出版ステータスPublished - 2004 12 1
イベント2004 International Conference on Power System Technology, POWERCON 2004 - , Singapore
継続期間: 2004 11 212004 11 24

出版物シリーズ

名前2004 International Conference on Power System Technology, POWERCON 2004
2

Other

Other2004 International Conference on Power System Technology, POWERCON 2004
CountrySingapore
Period04/11/2104/11/24

ASJC Scopus subject areas

  • Engineering(all)

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