Proceedings of International Conference on Applied Innovation in IT
2018/03/13, Volume 6, Issue 1, pp.77-83

Development of an Algorithm for Transition from an Electric-power System Visual Representation to a Parametric Representation

Anatolii Kusakin, Anton Petrochenkov, Dmitrii Leizgold, Ivan Luzyanin

Abstract: Precise estimation of the oil field electric-power system (EPS) parameters is an important task when estimating energy efficiency of oil well equipment. One possible solution for this task is development a software module that is capable both to graphically represent grid topology and to calculate the parameters of EPS on the basis of electrical parameters of equipment. The currently used methods for EPS modeling are based on theoretical approaches that do not completely meet modern requirements on precision and convergence. In addition, the interaction of EPS elements is considered insufficiently in the existing models. Implementing Smart Grid systems require development of new modeling tools. To create them, it is necessary to describe two models and develop transition algorithm between the visual representation of the electric grid and the parametric model of the EPS which determines the main parameters of the system. The paper considers the object model that allows to construct virtual electric scheme using objects (elements) and the calculation model that provide electric-power system parameters on the basis of calculation Kirchhoff's circuit laws. The development of a transition algorithm between the object model of the EPS into a calculation model. To implement this algorithm the LabVIEW is used. Both models are included in a software package which are designed to simulate stationary and quasi-stationary operating regimes and calculate the EPS parameters for further operation analysis. Since the existing solutions do not provide an optimal models’ transition technique, the authors propose the based on T-list algorithm. The research results will be useful for developing efficient EPS control techniques in various regimes and improve energy efficiency both on existing oil fields’ EPS and new ones.

Keywords: Electric-Power System, Oil Field, Object Model, Calculation Model, T-list, Algorithm, Equivalent Circuit,Branch, Node

DOI: 10.13142/kt10006.28

Download: PDF


  1. L. Cochrane, “Smart Energy Reference Architecture,” Microsoft Worldwide Utilities Industry, March 2013.
  2. A. Petrochenkov, I. Luziyanin, “Practical Aspects of Software Developing for the System of Structural and Functional Analysis of Power Supply Systems in Oil Companies,” Proceedings of International Conference on Applied Innovation in IT, vol. 1, pp. 65-69, March 2017.
  3. A. Khabdullin, Z. Khabdullina, G. Khabdullina, S. Tsyruk, “Development of a software package for optimizing the power supply system in order to minimize power and load losses,” Energy Procedia, v. 128, pp. 248-254, September 2017.
  4. E. Kremers, “Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models,” KIT Scientific Publishing, 2013.
  5. A. Herbst, F. Toro, F. Reitze, E. Jochem, “Introduction to Energy Systems Modeling,” Swiss Society of Economics and Statistics; vol. 148 (2), pp.111-135, 2012.
  6. A. B. Petrochenkov, “An Energy-Information Model of Industrial Electrotechnical Complexes,” Russian Electrical Engineering, vol. 85, No. 11, pp. 692–696, 2014.
  7. N. A. Wahab, M. S. Gaya, Y. Md Sam, U. Jeppsson, R. Katebi, “A LabVIEW-Based Simulator for the Activated Sludge Process,” IFAC Proceedings Volumes, vol. 45, 2012, pp. 942-947, 2012.
  8. J. Kl´ımek, M. Necaskˇy., “On Inheritance in Conceptual Modeling for XML,” Procedia Computer Science, vol. 10, pp. 54–61, 2012.
  9. L. Liu, X. Zhao, “Application of Improved Adjacency Matrix Multiplication in Distribution Network Flow Calculation,” Energy Procedia, vol. 14, pp. 983-989, 2012.
  10. B. V. Kavalerov, A. B. Petrochenkov, K. A. Odin, V. A. Tarasov, “Modeling of the Interaction of Structural Elements of ElectricPower Systems,” Russian Electrical Engineering, vol. 84, pp. 9–13, January 2013.
  11. M. Khakimyanov, I. Shafikov, F. Khusainov, “Electric Submersible Pumps in Oil Production and Their Efficiency Analysis,” Proceedings of International Conference on Applied Innovation in IT, vol. 1, pp. 35-38, March 2016.



       - Call for Papers
       - Submission to the Journal
       - Paper Submission
       - Final Paper Submission
       - Important Dates
       - Conference Committee
       - Editorial Board
       - Reviewers
       - Last Proceedings


       - Volume 11, Issue 1 (ICAIIT 2023)
       - Volume 10, Issue 1 (ICAIIT 2022)
       - Volume 9, Issue 1 (ICAIIT 2021)
       - Volume 8, Issue 1 (ICAIIT 2020)
       - Volume 7, Issue 1 (ICAIIT 2019)
       - Volume 7, Issue 2 (ICAIIT 2019)
       - Volume 6, Issue 1 (ICAIIT 2018)
       - Volume 5, Issue 1 (ICAIIT 2017)
       - Volume 4, Issue 1 (ICAIIT 2016)
       - Volume 3, Issue 1 (ICAIIT 2015)
       - Volume 2, Issue 1 (ICAIIT 2014)
       - Volume 1, Issue 1 (ICAIIT 2013)


       ICAIIT 2023
         - Photos
         - Reports

       ICAIIT 2022
         - Message

       ICAIIT 2021
         - Photos
         - Reports

       ICAIIT 2020
         - Photos
         - Reports

       ICAIIT 2019
         - Photos
         - Reports

       ICAIIT 2018
         - Photos
         - Reports






Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0

                                                   This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

           ISSN 2199-8876
           Publisher: Anhalt University of Applied Sciences

Creative Commons License
Except where otherwise noted, all works and proceedings on this site is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.