Аналитическое моделирование многокластерной системы специального назначения на основе нескольких сценариев мониторинга
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Analytical modeling of a multicluster special purpose system based on several monitoring scenarios

Kamil W.A.K.,  Kochegarov M.V.,  Mutin D.I. 

UDC 004.032:004.94
DOI: 10.26102/2310-6018/2024.47.4.006

  • Abstract
  • List of references
  • About authors

The article considers the problem and formulation of the task of modeling the optimal functioning of a multicluster special purpose system (MSPS), based on multi-scenario modeling. The problems associated with the uncertainty of sources and loads in the MSPS in the energy sector are becoming increasingly apparent due to the combination of large-scale renewable energy sources and multi-energy loads. Moreover, such scenarios pose great problems for the optimal functioning of the MSPS. The distributed MSPS in the energy sector is considered as an object of research, and a functioning model based on multi-scenario modeling is proposed to account for forecasting uncertainties arising in the case of distributed electricity generation and multi-energy loads. Traditional models for optimizing the work of the MSPS usually take into account only one deterministic work scenario, which can lead to certain limitations of work strategies. When optimizing, it is necessary to balance the problems with conservative optimization results caused by extreme scenarios and the high complexity of the model caused by the large sample size of the random sample scenario. To solve the above problems, an optimization model based on multi-scenario modeling is proposed for a load-side distributed MSPS in a multicluster system. The optimization model is also applicable to account for the uncertainties associated with distributed wind and solar energy sources and the randomness of load forecasting for cooling, heating and electricity needs.

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Kamil W.A.K.

Voronezh State University

Votonezh, Russian Federation

Kochegarov Maksim Viktorovich

Voronezh State Technical University

Voronezh, Russian Federation

Mutin Denis Igorevich
Doctor of Technical Sciences

Moscow State Technological University "STANKIN"

Moscow, Russian Federation

Keywords: stochastic modeling, integrated system, distributed operation, multicluster system, optimization model, load forecasting

For citation: Kamil W.A.K., Kochegarov M.V., Mutin D.I. Analytical modeling of a multicluster special purpose system based on several monitoring scenarios. Modeling, Optimization and Information Technology. 2024;12(4). URL: https://moitvivt.ru/ru/journal/pdf?id=1713 DOI: 10.26102/2310-6018/2024.47.4.006 (In Russ).

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Full text in PDF

Received 10.10.2024

Revised 17.10.2024

Accepted 21.10.2024