Time Factor in the Theory of Anthropogenic Risk Prediction in Complex Dynamic Systems

Ostreikovsky, V. A.; Shevchenko, Ye.; Yurkov, N. К.; Кочегаров, И. И.; Grishko, А. К.

doi:10.1088/1742-6596/944/1/012085

Cited by 12 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After determining the position for installing the substations, it is necessary to distribute the consumer units between the power sources (substation and distribution point). At present, this problem is usually solved by cluster analysis method [8][9][10]. Distributed power density method allows to solve this problem as well.…”

Section: Resultsmentioning

confidence: 99%

“…As power consumer units are distributed unevenly within the area, and several centres of loads may have to be determined, it becomes necessary to group the power consumer units, for example, by using cluster method, and then determine the centre in each group [8][9][10].…”

Section: Problem Statementmentioning

confidence: 99%

“…Considering the above mentioned, we can say that the established methods are more suitable for determining the position of the main step-down substation of an industrial unit, but they do not give an answer to the question of the optimal number of power sources considering the factors of energy losses and the cost metal consumption. The production equipment can not always be positioned with regard for the volume of energy consumption, as has been suggested in [8][9][10]. One has to perform the preliminary cluster analysis of consumers.…”

Section: Introductionmentioning

confidence: 99%

“…2. Distribution of power density when 15 σ = mThe peak of the resultant surface is projected onto the conventional centre of energy loads according to the description of the method[7,[9][10][11][12]. The volume of the resultant surface is equal the sum of volumes under the surfaces shown inFig.1.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Optimizing the Positioning of Power Sources in Industrial Units Electrical Power Systems on the Basis of the Method of Distributed Power Density

Goryachev¹,

Grishko²,

Yurkov³

et al. 2018

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" (AIME 2018)

View full text Add to dashboard Cite

The article analyzes the electrical power system of a machine construction workshop where optimal positioning of power sources (power substation, distribution points) has to be determined so as to lower the metal consumption. The goal of the work is to develop a model of an efficient electrical power system at an industrial unit employing the method of distributed power density, developed by the authors. This method will help to determine the position of power sources. The amount of energy losses per power transmission and the metal consumption of the system were used as optimization criteria.The suggested method is based on the presentation of each surface load in the form of solids of revolution, limited by planes produced by the multiple of the basic function and the load power. The results were analyzed by means of substituting the group of consumers by an equivalent consumer and determining the radius of diffusion.The method of distributed power density allows to design the system of power supply with better characteristics in terms of minimal losses per power transmission and minimal metal consumption. The suggested method can be used in designing the power systems of industrial units and larger geographical areas. This method will help to determine the best position for reactive power compensators, the installation of which will help to minimize the losses in the system, increase the quality of the power supplied to the consumer unit. Keywords-electrical power supply, substation, energy losses, metal consumption, conventional centre of energy loads.The research has been realized at the expense of the grant of the Russian Science Foundation (the project № 17-79-10281 from 24.07.2017).

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations