Due to the growing demand for electricity worldwide, there has been an increased dependence on renewable energy sources, including economic and environmental benefits, the most important of which is mitigation global warming and technical benefits such as increased network reliability. by introducing DG techniques into traditional power systems. But the increasing implementation of distributed generation units has created a number of problems and changed the nature of the power distribution system into an efficient system , for example, increasing the voltage level of distribution buses and increasing short circuit fault current, among which are protection electrical system containing distributed generators with varying degrees of penetration due to bidirectional flows and the problem of lack of integration of the protection system as a whole with the distribution network containing distributed generation units. In particular, distance protection tools cannot cope with changes in network topography. Therefore, this study will aim to test the extent to which the sensitivity of distance protection can be increased using multilayer neural network techniques for different values of fault resistances.
Abou rashid, A., & Ustinov, D. (2024). Using artificial neural network methods to increase the sensitivity of distance protection. International Journal of Engineering, (), -.
MLA
Aysar Abou rashid; Denis Ustinov. "Using artificial neural network methods to increase the sensitivity of distance protection". International Journal of Engineering, , , 2024, -.
HARVARD
Abou rashid, A., Ustinov, D. (2024). 'Using artificial neural network methods to increase the sensitivity of distance protection', International Journal of Engineering, (), pp. -.
VANCOUVER
Abou rashid, A., Ustinov, D. Using artificial neural network methods to increase the sensitivity of distance protection. International Journal of Engineering, 2024; (): -.
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