16 research outputs found
Models for the development of multi-level gas supply systems
The article shows the relevance of hierarchical modeling in substantiating the optimal development of the gas industry in modern conditions. The questions of aggregation of calculation schemes of gas supply systems are considered. A set of mathematical models is proposed that allows us to consider it at three levels of the hierarchy, taking into account the improvement, refinement and detail of the information base being developed. Models are considered: 1) optimization of the structure of gas supply systems; 2) optimization of se-zone gas consumption, analysis and synthesis of reliability; 3) optimization of parameters of the main gas-wire taking into account reliability.
The created information base on gas supply systems of the Russian Federation includes dynamics of development of demand for natural gas in the domestic and foreign markets, aggregated technical and technological, cost and reliability characteristics of system objects (main gas lines, fields, underground gas storage facilities) and forecasts of gas production.
On the basis of mathematical models, studies of the development of multi-level gas supply systems in Russia for the period up to 2030 are performed: the rates and directions of development of the gas transport structure, commissioning of new fields and optimal gas flows through the Russian Federation are substantiated. A systematic assessment of the means of regulating seasonal unevenness of gas consumption and the means of ensuring the reliability of the North-Western district of the Russian Federation was carried out
Innovative transformations of a model for flow distribution in gas systems and their new properties
The methods of network analysis are widely used in mathematical modelling of optimal gas flows to solve the problems of long-term planning and development of gas systems. However, the modern development of gas systems, their renovation and modernization require that the new trends in innovative transformation should be taken into account in the mathematical models for their research as well. This paper is focused on the proposals for considering the new properties of gas system in the mathematical flow distribution model as compared to the traditional formulation. Case study involves the calculation of gas flows for an aggregated unified gas supply system for the period up to 2030. This calculation allows for the edge coefficients and a gain in the transmission capacities of the edges
Transformation of a mathematical model of gas flow distribution to solve the problems of gas supply system development
This paper proposes taking into account new properties of gas supply systems in a mathematical model of flow distribution in comparison with the traditional formulation. The approach suggests introducing an arc coefficient, which allows for changes in the magnitude of gas flow passing along the arc, a vector of an increase in the arc throughput, and lower constraints on the gas flow along the arc. We also propose considering a new economic environment, namely, new criteria for optimizing the flow distribution and setting fictitious gas prices for consumers. These criteria enable us to take account of the priority gas supply to a definite group of consumers. As an example, the calculation of gas flows for the aggregated Unified Gas Supply System (UGSS) for 2030 is considered. This calculation takes into account the arc coefficients and the increase in the throughput of arcs
Development of analysis methods for ensuring the reliability of gas distribution systems in the problems of complex energy supply
The paper deals with the issues devoted to reliability studies of gas distribution systems for complex energy supply of large industrialized areas. Given is a brief review of the reliability assessment methods, existing models for reliability assessment of the main pipelines, and their implementation. Special attention is paid to such reliability-specific properties as failure-free operation and maintainability of the elements constituting the gas distribution systems (linear sections and booster stations). These properties depend on the failure and recovery rates. Consideration is given to potentials of studying the impact of failure and recovery rates on integral indicators of gas distribution systems reliability. For that purpose mathematical models are proposed to be used for gas distribution systems reliability assessment using the analytical method of a βloss multiplicationβ scheme. Reliability assessment of a conventional gas distribution system was taken as an example
ΠΠΎΠ½ΡΡΠΎΠ»Π»ΠΈΠ½Π³ ΠΏΠ΅ΡΠ΅Π²ΠΎΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΡΠΈ Π΄ΠΎΡΡΠ°Π²ΠΊΠ΅ ΡΠΎΠ²Π°ΡΠ½ΡΡ ΠΏΠ°ΡΡΠΈΠΉ Π² ΡΠΎΡΠ³ΠΎΠ²ΡΡ ΡΠ΅ΡΡ
The modern trends in the development of logistics controlling through the prism of collaboration between wholesale companies and retail chains have been considered. The nature and structure of cargo transportation by the wholesale company to he retail chain have been analysed. The key transportation processes have been identified and the reliance on transportation drivers-forwarders for their effectiveness has been determined. The study has resulted in the program-mathematical approach to the transportation controlling automation used by the wholesale company to deliver goods to the retail chain as well as the mathematical model of the system information flow. The practical recommendations for the mathematical software implementation using the AWS Forwarder software product as an example have been illustrated.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Π»ΠΈΠ½Π³Π° ΡΠ΅ΡΠ΅Π· ΠΏΡΠΈΠ·ΠΌΡ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π° ΠΎΠΏΡΠΎΠ²ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΠΎΠ·Π½ΠΈΡΠ½ΡΡ
ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΡΠ΅ΡΠ΅ΠΉ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π° ΡΡΡΡ ΠΈ ΡΡΡΡΠΊΡΡΡΠ° ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ Π³ΡΡΠ·ΠΎΠ² ΠΎΠΏΡΠΎΠ²ΡΠΌ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠ΅ΠΌ Π² ΡΠΎΠ·Π½ΠΈΡΠ½ΡΡ ΡΠΎΡΠ³ΠΎΠ²ΡΡ ΡΠ΅ΡΡ. ΠΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Ρ ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ -ΡΠΊΡΠΏΠ΅Π΄ΠΈΡΠΎΡΠΎΠ² Π½Π° ΠΈΡ
ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ ΠΊΠΎΠ½ΡΡΠΎΠ»Π»ΠΈΠ½Π³ΠΎΠ²ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ Π³ΡΡΠ·ΠΎΠ² ΠΎΠΏΡΠΎΠ²ΡΠΌ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠ΅ΠΌ Π² ΡΠΎΠ·Π½ΠΈΡΠ½ΡΡ ΡΠΎΡΠ³ΠΎΠ²ΡΡ ΡΠ΅ΡΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ² Π΄Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΏΠΎ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎ-ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° Β«ΠΠ Π ΠΠΊΡΠΏΠ΅Π΄ΠΈΡΠΎΡ