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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2019 Volume 10, Issue 4, Pages 3–24 (Mi ps351)

Optimization Methods and Control Theory

Principles of creating technology for modeling and forecasting the development of regional fuel and energy complexes of Russia and Mongolia in respect the energy cooperation between the two countries

A. L. Kazakova, A. A. Lemperta, A. B. Stolbova, B. G. Saneevb, S. P. Popovb

a Institute for System Dynamics and Control Theory of SB RAS
b Melentiev Energy Systems Institute SB RAS

Abstract: The article relates to the creation of computational technology for scenario modeling and forecasting the interrelated development of the national fuel and energy complexes of Russia and Mongolia, taking into account the cross-country trade in fuel and energy resources. The study aims to create a methodological basis for determining the most promising options for bilateral interaction and, in turn, to evaluate the effectiveness of projects for energy cooperation between Russia and Mongolia. The scientific framework for the proposing technology follows principles of agent-based simulation modeling, according to which the objects under consideration became elements of a multi-agent system.
We describe the selection of the Adskit software for the creation of an agent-based simulation model (ABSM) of the fuel and energy system of Russia and Mongolia and a justification of the chosen instrument and propose methodological principles and architecture of ABSM. The mathematical model for the problem of laying routes of extended energy objects has the form of a particular case of the variational problem and deals with which the author’s solution algorithm based on the principles of geometric optics.

Key words and phrases: computational technology, agent simulation, mathematical modeling, computational algorithm, energy cooperation, development scenarios, fuel and energy complex.

UDC: 004.89+620.98
BBK: Ç813.5:Ç19

MSC: Primary 97R40; Secondary 91B32, 93A30

Received: 27.08.2019
Accepted: 20.11.2019

DOI: 10.25209/2079-3316-2019-10-4-3-24



© Steklov Math. Inst. of RAS, 2024