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Abstract

The paper is devoted to the short-term and medium-term planning mode of power supply system at a metallurgical plant and OJSC "MMK" is taken as an example. It is suggested to implement electric load forecasting for various production departments on the basis of the theory of fuzzy sets. On the basis of the forecast load graphics the authors calculated the basic mode parameters for planning periods from days to years at various intervals of averaging. By comparing the results of the mode parameters, corresponding to the registered and calculated graphics, they estimated the error of the proposed approach and came to the conclusion of its applicability.

Keywords

Power supply system, mode planning, planning period, information uncertainty, electric loads, fuzzy intervals, membership function, graphic averaging interval.

Malafeev Aleksey Vyacheslavovich – Ph.D. (Eng.), Associate Professor, department of industrial electric power supply, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Krubtsova Anastasiya Andreevna – a post-graduate student of power engineering and automated systems institute, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

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