Development of Universal Mathematical Model of Electrical Power Supply System of Area of Industrial Enterprise

Семенов, А С; Semenova, Mariya; Bebikhov, Yu. V.

doi:10.1109/rusautocon.2019.8867704

Cited by 12 publications

(2 citation statements)

References 24 publications

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“…These characteristics confirm the correctness of the motor selection. The calculations and computer modeling are useful for further computer simulation of the operation of electric drive systems of a mining roadheader and the power supply system of a mining site (Semenov et al, 2019a;Semenov et al, 2019b). In dangerous conditions such as underground mines, computer modeling is the only possible tool for further evaluation of power quality in the underground parts of the mine not accessible for experimental research and physical measurements (Semenov and Kuznetsov, 2014;Shpiganovich et al, 2017;Shevyrev et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Calculation of Load Diagrams and Static Characteristics of Multimotor Electric Drive Systems using the Methods of Equivalent Forces and Reduced Moments

Семенов¹,

Yakushev²,

Kharitonov³

et al. 2020

IJTech

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Section: Discussionmentioning

confidence: 99%

Calculation of Load Diagrams and Static Characteristics of Multimotor Electric Drive Systems using the Methods of Equivalent Forces and Reduced Moments

Семенов¹,

Yakushev²,

Kharitonov³

et al. 2020

IJTech

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“…For the evaluation of technical losses, many researchers rely on calculation tools or computational software such as Matlab, DIgSILENT PowerFactory, among others [3][4][5][6][7]. These tools are mainly based on mathematical approaches such as Newton Raphson's method, Gauss Seidel or probabilistic methods for load estimates [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Modeling using neural network to evaluate the technical losses in subtransmission electrical network

Laurencio-Pérez

Pérez-Maliuk²,

Pérez-Maliuk³

2022

DYNA

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Determining technical losses in an electrical systems is highly complex due to the large amount of information required for its evaluation. One solution to this problem is the evaluation of losses using an artificial neural network. In this work, a modeling was carried out using artificial neural network to evaluate the technical losses in subtransmission electrical networks, which considers the effective length of the circuits, the maximum apparent and active power, the resistance in the conductors and the number of clients connected to said circuit. The simulation results established a mean square error of 0.0028 and correlation coefficent between the variables involved of 0.980. The proposed artificial neural network model resulting satisfactory for evaluating technical losses in subtransmission electrical networks.

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Calculation and Construction of Load Diagrams and Static Characteristics of Multi-Motor Electric Drive System Using Methods of Equivalent Forces and Reduced Moments

et al. 2020

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This paper includes the calculations and construction of load diagrams and static characteristics of individual mechanisms of a mining combine, which form a combined multi-motor electric drive system, using methods of equivalent efforts and reduced moments. The operating forces of idle and on-load mechanisms are calculated, operation time intervals and a complete working cycle are determined. The load diagrams of mechanisms are constructed and their kinematic diagrams are designed. Based on the calculations made, asynchronous motors with a short-circuit rotor, which have the closest power values and are suitable in terms of voltage and operating mode, were selected from the catalogue. The gear reduction ratio is calculated, static resistance moments and operating speeds to the motor shaft are specified. The static characteristics of the most powerful electric motor of a mining combine - effector - are formulated.

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Development of Universal Mathematical Model of Electrical Power Supply System of Area of Industrial Enterprise

Cited by 12 publications

References 24 publications

Calculation of Load Diagrams and Static Characteristics of Multimotor Electric Drive Systems using the Methods of Equivalent Forces and Reduced Moments

Calculation of Load Diagrams and Static Characteristics of Multimotor Electric Drive Systems using the Methods of Equivalent Forces and Reduced Moments

Modeling using neural network to evaluate the technical losses in subtransmission electrical network

Calculation and Construction of Load Diagrams and Static Characteristics of Multi-Motor Electric Drive System Using Methods of Equivalent Forces and Reduced Moments

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