Thevenin's theorem (electric networks)

Superposition theorem (electric networks)

AccessScience ◽

10.1036/1097-8542.669900 ◽

2015 ◽

Keyword(s):

Electric Networks ◽

Superposition Theorem

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FLOW CONTROL ACTIVE AND REACTIVE POWER IN ELECTRIC NETWORKS

Tekhnichna Elektrodynamika ◽

10.15407/techned2016.05.061 ◽

2016 ◽

Vol 2016 (5) ◽

pp. 61-63

Author(s):

F.P. Govorov ◽

◽

V.F. Govorov ◽

Keyword(s):

Flow Control ◽

Reactive Power ◽

Electric Networks ◽

Active And Reactive Power

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Development of a Stand for Demonstration of Human Injury by Touch and Step Voltages Near a 10 kV Overhead Line

Vestnik MEI ◽

10.24160/1993-6982-2020-6-39-45 ◽

2020 ◽

Vol 6 (6) ◽

pp. 39-45

Author(s):

Ruslan K. Borisov ◽

◽

Sergey S. Zhulikov ◽

Sergey I. Khrenov ◽

Yuliya S. Turchaninova ◽

...

Keyword(s):

Electric Shock ◽

Research University ◽

Moscow Region ◽

Experimental Investigations ◽

Clear Understanding ◽

Overhead Line ◽

Electric Networks ◽

Calculation Results ◽

High Voltage Engineering ◽

Human Injury

An objective to develop a labor protection engineering stand was set forth as part of the research and development work "Carrying out theoretical and experimental investigations and development of stands for demonstrating the danger of electric shock at a training ground" for visually demonstrating the danger of injuring a person by touch and step voltages in 3…35 kV medium voltage electric networks. The technical solutions for practically implementing the stand were adopted based on an analysis of regulatory documents, conditions under which dangerous touch and step voltages occur, the most typical human injury cases, and calculation results. Specialists of the National Research University Moscow Power Engineering Institute Department of High Voltage Engineering and Electrophysics, working jointly with specialists of PJSC Rosseti Moscow Region have developed, manufactured, tested, and put into operation a stand for demonstrating human injury by the touch and step voltages when a 10 kV wire falls on the ground, on a car, and when a fault of a live wire on the overhead line support occurs. With the stand having been put in use at the PJSC Rosseti Moscow Region Training Center Ground, this will allow the staff to form a clear understanding of the electric shock danger, to focus on the effects caused by voltage and current, and thereby significantly reduce electrical injuries.

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Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

Journal of Electrical and power engineering ◽

10.31474/2074-2630-2020-1-48-54 ◽

2020 ◽

Vol 14 (1) ◽

pp. 48-54

Author(s):

D. Ostrenko ◽

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Electricity Consumption ◽

Electrical Energy ◽

Energy System ◽

Electrical Networks ◽

Electric Networks ◽

Electric Network ◽

Time Dynamics ◽

Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

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