Dynamic security border assessment of electric power system
Автор: Shumilova G.P., Gotman N.E., Starceva T.B.
Журнал: Известия Коми научного центра УрО РАН @izvestia-komisc
Рубрика: Технические науки
Статья в выпуске: 1, 2010 года.
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The algorithm based on inversion of an artificial neural network with search of a unique element has been developed for estimation of the border of dynamic security. According to algorithm, the most nearest point to a current mode on border is found, and then its distance to the border is defined, allowing to judge security of a current mode. In case of need, the operator makes corresponding operating influences, withdrawing the system into more safe operating mode. The method of choice of an optimum set of entrance parameters of model of an estimation of security has been defined. Results of experimental check of work of algorithm on the example of the Komi power system are given.
Electric power system, dynamic security border, neural network inversion, divergence, nonlinear principal component analysis
Короткий адрес: https://sciup.org/14992373
IDR: 14992373