CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Simulation of Requests for Electrical Networks by Technological Association
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Read | Denisov Artem R., Levin Mikhail G., Rybinskiy Aleksey V., Nekrasova Tatyana N. Simulation of Requests for Electrical Networks by Technological Association // Caspian journal : management and high technologies. — 2013. — №1. — pp. 60-71. |
Denisov Artem R. - D.Sc. (Engineering), Nekrasov Kostroma State University, 16, 1 May St., Kostroma, 156961, Russian Federation, inf_service@ksu.edu.ru
Levin Mikhail G. - D.Sc. (Engineering), Nekrasov Kostroma State University, 16, 1 May St., Kostroma, 156961, Russian Federation, inf_service@ksu.edu.ru
Rybinskiy Aleksey V. - post-graduate student, Nekrasov Kostroma State University, 16, 1 May St., Kostroma, 156961, Russian Federation, inf_service@ksu.edu.ru
Nekrasova Tatyana N. - post-graduate student, Nekrasov Kostroma State University, 16, 1 May St., Kostroma, 156961, Russian Federation, inf_service@ksu.edu.ru
The article suggests that business process management should rely on decision-making support systems for distributing technological information on electric networks to grid companies. The support system could use high-quality mathematical models of queuing systems, with the technological accession data presented in the form of the M/M/3-class of system. The latter enables three machine functions: verifying the network’s completeness, specifying its formation and conclusion, and enabling technological accession. The first of these, the critique relates, is automated and allows refusals, while the others appear without the refusal capacity. At this stage, the document recommends that the quality-determination-based method for entrance and target streams use a regression-dependence method as a preferred tendency for submitting demands (such as annual growth and seasonal fluctuations). The blueprint states that the method would be based on theoretical and actual base indicator values, providing an automated operational system (offering average holding time, number of in-system demands and other information).
Key words: technological association for electrical networks,decision-making support system,risks management,queuing systems,Poisson flow,demand-flow modeling,correlation analysis,model reliability,adequacy assessment