Abstract
This article describes the software complex "Oil and Gas of Russia" and demonstrated its application in considering the vitality of large pipeline systems At the core of the software complex is A flow-oriented model for assessing production capacities of gas, oil and oil products supply systems. Mathematically the Unified Gas Supply System and the Unified System of Russian Oil Supplies are represented as networks varying with time in whose nodes are located enterprises for production, conversion and consumption of material flows which realize material links between enterprises. While assessing the system state after a disturbance a minimum energy shortage at the lowest delivery cost at the consumer end is a flow distribution optimality criterion To calculate the flow distribution and to analyze the results of calculations in the software complex "Oil and Gas of Russia" a specialized geoinformation system is used. In this system The Unified Gas Supply System in the Unified Oil Products Supply System is presented in the form of an electronic map consisting of layers of vector data reflecting the status of producers and needs of energy consumers as well as with lines that give an idea of the degree of the transport subsystem congestion. Specialized databases are used to store technological characteristics of the Unified Gas Supply System and the Unified System of Oil Products Supply objects. The structure of the databases is focused on the pipeline systems under study. Objects of production, storage, transportation and consumption of energy are taken to enter into databases .As an example of the software complex "Oil and Gas of Russia" application the calculation of the possible gas excess distribution in the Unified Gas Supply System of Russia on a short-term reduction of Russian gas exports to Europe is given in the paper.
Keywords: Software complex, energy systems, geoinformation system, fuel supply, energy supply, vitality, flow model, underground gas storage
References
1. Bushuev V.V., Voropai N.I., Mastepanov A.M., Shafranik Yu.K. et al. Energeticheskaya bezopasnost' Rossii [Energy security Russia]. Novosibirsk, Nauka Publ., 1998. 302 p.
2. Khramov A.V., Enikeeva S.M., Khrustaleva N.M. et al. Programmnoe i informatsionnoe obespechenie resheniya zadach zhivuchesti Edinoi sistemy gazosnabzheniya SSSR [The software and information support for solving Unified Gas Supply System survivability USSR]. Metody i modeli issledovaniya zhivuchesti sistem energetiki [Methods and models of research vitality energy systems]. Ed. by Yu.N. Rudenko. Novosibirsk, Nauka Publ., 1990, pp. 86–91.
3. Ford L.R., Fulkerson D.R. Flows in networks. Princeton, Princeton University Press, 1962. 194 p. (Russ. ed.: Ford L.R., Falkerson D.R. Potoki v setyakh. Translated from English. Moscow, Mir Publ., 1966. 276 p.).
4. Novitskii N.N., Sukharev M.G., Sardanashvili S.A. et al. Truboprovodnye sistemy energetiki: matematicheskoe i komp'yuternoe modelirovanie [Energy pipeline systems: mathematical and computer modeling]. Novosibirsk, Nauka Publ., 2014. 274 p.
5. Veselov F.V., Eliseeva O.A., Kulagin V.A., Malakhov V.A., Mitrova T.A., Filippov S.P. SCANER: model'no-informatsionnyi kompleks [SCANER: model-information complex]. Moscow, ERI RAS Publ., 2011. 38 p.
6. Lochner S., Dieckhöner C. TIGER: Infrastructure and dispatch model of the European gas market – model description. Cologne, Germany, EWI, 2010.
7. Lochner S. Identification of congestion and valuation of transport infrastructures in the European natural gas market. Energy, 2011, vol. 36, iss. 5, pp. 2483–2492.
8. Lochner S., Bothe D. From Russia with gas: an analysis of the Nord Stream pipeline’s impact on the European gas transmission system with the TIGER-model. Institute of Energy Economics at the University of Cologne. EWI Working Paper, no. 07.02. Cologne, Germany, 2007.
9. Lochner S., Richter J. The impact of recent gas market development on long-term projections for global gas supply. Zeitschrift für Energiewirtschaft, 2010, vol. 34, iss. 1, pp. 61–69.
10. Klimenko S.M., Senderov S.M., Yanchenko V.A. Issledovanie problem povysheniya ustoi-chivosti i ekologicheskoi bezopasnosti magistral'nykh nefte- i nefteproduktoprovodov [Study of the problems of environmental sustainability and enhance the safety of trunk oil and product pipelines]. Novye informatsionnye tekhnologii upravleniya razvitiem i funktsionirovaniem truboprovodnykh sistem energetiki [New information technology management development and operation of pipeline systems of energy]. Irkutsk, SEI SB RAS Publ., 1993, pp. 119–127.
11. Edelev A.V., Senderov S.M. [Integrated tool environment SC "Oil and gas of Russia"]. Informatsionnye tekhnologii v energetike: sovremennye podkhody k analizu i obrabotke informatsii: sbornik dokladov [Information technologies in the energy sector: modern approaches to the ana-
lysis and processing of information. The collection of reports]. Irkutsk, ESI SB RAS Publ., 2000, pp. 165–169.
12. Mixed integer linear programming (MILP) solver lp_solve. Available at: http://source-forge.net/projects/lpsolve (accessed 12.04.2016)
13. Tsvetkov V.Ya. Geoinformatsionnye sistemy i tekhnologii [Geographic information systems and technologies]. Moscow, Finansy i statistika Publ., 1997. 290 p.
14. Edelev A.V., Vorob'ev S.V. Metodika opredeleniya uzkikh mest v rabote bol'shikh truboprovodnykh sistem [Methods of determining the bottlenecks of large pipeline systems]. Programmnye produkty i sistemy – Software and Systems, 2014, no. 3, pp. 174–176.
15. Edelev A.V., Enikeeva S.M., Senderov S.M. Informatsionnoe obespechenie pri issledovanii voprosov funktsionirovaniya bol'shikh truboprovodnykh sistem [Informational support for the study of issues in the great pipeline systems]. Vychislitel'nye tekhnologii – Computational technologies, 1999, vol. 4, no. 5, pp. 30–35.
