scholarly journals Data processing and optimization system to study prospective interstate power interconnections

2018 ◽  
Vol 27 ◽  
pp. 01007
Author(s):  
Sergei Podkovalnikov ◽  
Ivan Trofimov ◽  
Leonid Trofimov

The paper presents Data processing and optimization system for studying and making rational decisions on the formation of interstate electric power interconnections, with aim to increasing effectiveness of their functioning and expansion. The technologies for building and integrating a Data processing and optimization system including an object-oriented database and a predictive mathematical model for optimizing the expansion of electric power systems ORIRES, are described. The technology of collection and pre-processing of non-structured data collected from various sources and its loading to the object-oriented database, as well as processing and presentation of information in the GIS system are described. One of the approaches of graphical visualization of the results of optimization model is considered on the example of calculating the option for expansion of the South Korean electric power grid.

2019 ◽  
Vol 29 (4) ◽  
pp. 465-481
Author(s):  
Ivan Trofimov ◽  
Leonid Trofimov ◽  
Sergei Podkovalnikov ◽  
Lyudmila Chudinova ◽  
Lev Belyaev ◽  
...  

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.


2010 ◽  
Vol 8 (3) ◽  
pp. 287-295 ◽  
Author(s):  
I. F. Di Paolo ◽  
Thiago Damasceno Cordeiro ◽  
Jose Adolfo da Silva Sena ◽  
Maria da Conceicao Peraira Fonseca ◽  
Walter Barra ◽  
...  

Author(s):  
Tárik S. Salem ◽  
Karan Kathuria ◽  
Heri Ramampiaro ◽  
Helge Langseth

Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the electric power grid system with the intermittent renewable production as one of the contributors. A beforehand information about an occurring imbalance can help the transmission system operator to adjust the production plans, and thus ensure a high security of supply by reducing the use of costly balancing reserves, and consequently reduce undesirable fluctuations of the 50 Hz power system frequency. In this paper, we introduce the relatively new problem of an intra-hour imbalance forecasting for the transmission system operator (TSO). We focus on the use case of the Norwegian TSO, Statnett. We present a complementary imbalance forecasting tool that is able to support the TSO in determining the trend of future imbalances, and show the potential to proactively alleviate imbalances with a higher accuracy compared to the contemporary solution.


2011 ◽  
Vol 301-303 ◽  
pp. 1434-1437
Author(s):  
Da Liang ◽  
Chang Chuan Lin ◽  
Guo Zhuan Xiao

To improve the electric power quality has become an important issue in building an intelligent electric power grid. In this paper, the ARM chip and the fuzzy controlling method were adopted to develop and study an intelligent monitor. The design of the hardware and software was implemented. The experiment’s results demonstrate that the monitor can improve the precision of the collected electric data and the power distribution efficiency and the reliability. It can be used in the ship power systems, industry, daily life and so on.


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