Fuzzy logic energy management system of food manufacturing processes

Скорочена інформація про документ
dc.contributor.authorBaliuta, Serhii
dc.contributor.authorKopylova, Liudmyla
dc.contributor.authorKuievda, Yulia
dc.contributor.authorKuyevda, Valery
dc.contributor.authorKovalchuk, Olena
dc.date.accessioned2022-09-12T08:27:11Z
dc.date.available2022-09-12T08:27:11Z
dc.date.issued2020
dc.description.abstractIntroduction. The research is conducted to justify the method of increasing the efficiency of electrical power use in food production processes, which is based on the algorithms of fuzzy power management system. Materials and methods. The study is based on optimal and fuzzy control methods, such as Mamdani and Sugeno algorithms. Computer simulation was performed using MATLAB Simulink. Results and discussion. The control criterion of power supply of food production is formulated in the form of a functional minimization problem, which depends on the expected value of active and reactive power losses, active and reactive power losses at the level of secondary substations and individual load nodes. Maintaining energy efficient voltages in the power supply system nodes is chosen as a control task. It is determined the dependence of energy efficient voltages on the nominal voltage of the power system, the active resistance of its segments, the power and the coefficient of linearized static load characteristics at the network nodes, the equivalent active resistance, the nominal power, open circuit and short circuit losses of secondary substation transformers. To solve the control problem, an algorithm is synthesized using fuzzy controllers at the levels of the primary and secondary substations. In particular, it is determined that the input signals of the secondary substation fuzzy regulator should be the deviation from the energy efficient voltages and the rate of voltage change, and the output signals should be the transformer voltage and the actuation delay. Using numerical methods it is shown that this algorithm can reduce electricity losses in food production processes up to 7% compared to classical voltage regulation methods. Conclusions. The fuzzy system method under study ensures that energy-efficient voltage levels are maintained at the distribution network nodes when the voltage of the power source or the consumer loads are changed.uk_UA
dc.identifier.citationFuzzy logic energy management system of food manufacturing processes / S. Baliuta, L. Kopylova, Iu.Kuievda, V. Kuevda, O. Kovalchuk // Ukrainian Food Journal. – 2020. – V. 9, Is. 1. – Pp. 221–239uk_UA
dc.identifier.urihttps://dspace.nuft.edu.ua/handle/123456789/37987
dc.language.isoenuk_UA
dc.subjectelectricityuk_UA
dc.subjectenergyuk_UA
dc.subjectcontroluk_UA
dc.subjectfuzzyuk_UA
dc.subjectкафедра електропостачання і енергоменеджментуuk_UA
dc.titleFuzzy logic energy management system of food manufacturing processesuk_UA
dc.typeArticleuk_UA

Файли

Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
FoodJournal2020.pdf
Розмір:
821.48 KB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз недоступний
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити

Зібрання

Статті