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- Title
Methods and algorithms of food industry enterprises electrical energy consumption control.
- Authors
Kopylova, Liudmyla; Baliuta, Sergii; Mashchenko, Oleg
- Abstract
Introduction. The conducted researches of the food industry enterprise electrical energy consumption control with the aim of electrical resources efficiency increase by electricity consumption control methods and algorithms developing. Materials and methods. The researches are made on the base of control processes system analysis methods. Results and discussion. The analysis of the food processing enterprise (FIE) electrical energy consumption control has allowed to determine the main stages of the control process: the basic control functions are electric energy (EE) consumption registration, forecasting of EE consumption, calculation of EE consumption norms, consumers - regulators (CRs) list formation; control functions support conditions - EE consumption information, restrictions and rates, electricity consumption forecasting accuracy requirements; organizational and technical mechanisms of control functions implementation - information and computing system, electric power dispatcher, process operator, electrical supervisor; basic information flows which provide electrical energy consumption control - predicted temperatures values, EE consumption and production output current data, decisions settled on EE consumption. Represented methods and algorithms of FIE electrical energy consumption management with use of CRs. When creating a FIE EE consumption management forecasting mathematical model an artificial neural network in the form of a multilayer perceptron was used. In order to study the artificial neural network is used the combined training method based on the back error propagation method and the Cauchy method. The organizational and technical FIE EE consumption management requirements are formulated. It is determined that taking into account the technological process and the EE consumption process mutual connection for EE consumption control it is necessary to use a dialogue system. Conclusion. FIE EE consumption control is realized with the use of forecasting values received via artificial neural network by the optimal EE consumers composition forming on the base of the heuristic algorithm. This allows to ensure the high efficiency and to take into account damages caused by CRs disabling.
- Subjects
FOOD industry; ELECTRIC power consumption; ARTIFICIAL neural networks; MULTILAYER perceptrons; HEURISTIC algorithms
- Publication
Ukrainian Journal of Food Science, 2017, Vol 5, Issue 2, p267
- ISSN
2310-1008
- Publication type
Article
- DOI
10.24263/2310-1008-2017-5-2-11