The computing and information system for research of prospective electric power grids expansion

Authors

  • Ivan Trofimov Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia
  • Leonid Trofimov Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia
  • Sergei Podkovalnikov Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia
  • Lyudmila Chudinova Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia
  • Lev Belyaev Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia
  • Vladimir Savelév Laboratory of Interstate Power Grids, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia

DOI:

https://doi.org/10.2298/YJOR181115021T

Keywords:

geo-information system, optimization model, data processing, object-oriented database, power plant, electric power balance, electric power system

Abstract

The paper describes the software tool implemented by Melentiev Energy Systems Institute SB RAS, aimed to solve wide range of energy issues. In this article, the Computing and Information System (CIS) means a software tool that provides collection, transfer, processing, storage, geo-visualization, and output of digital technical and economic data of different energy/power entities. Besides, this tool is incorporated within a mathematical model for optimization of expansion and operating modes of power systems. The paper discusses the example of how data storage and data representation in object-oriented database assist to improve efficiency of research prospective electric power systems expansion and operation.

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Published

2019-11-01

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Section

Research Articles