Algorithmic and Software of the Computer System for the Selection of Optimal Quantity of Natural Gas Operating Parallel Workers

Abstract

In connection with reduction of volumes of transporting of gas through the gas-transport system of Ukraine the issue of the day is the rational loading of the compressor stations taking into account the technical state of gascompressor units. The mathematical model was developed in the article on principles of fuzzy logic, that gave an opportunity to define the technical state of gascompressor units that are working in parallel taking into account such parameters as the productivity of supercharger, expense of fuel gas, pressure and temperature on an entrance, pressure and temperature on the exit of centrifugal supercharger, temperature of products of combustion on an exit from the turbine of LP, frequency of rotation of shaft of the supercharger, temperature and pressure of environment, vibrospeed and vibroacceleration, speed of accumulation product of triggering in agile olive, concentration oxide nitrogen and carbon in exhaust-gas.
 The expense of fuel gas, that is measured by facilities of regular automation, depends on many factors such as atmospheric pressure, ambient temperature, physical and chemical properties of fuel gas, technical state and type of turbo-engine. All that grounds to consider the expense of fuel gas an unclear value. Experimental researches on the base of Bohorodchany compressor station showed, that unclear value the "expense of fuel gas" has Gauss function of belonging. Therefore the task of choice of optimal amount of aggregates working in parallel is formalized as a task of integer of the linear programming, the criterion of optimality in that is a cost of fuel gas that consumes the compressor station taking into account the technical state of gascompressor units and unclearness of expense of fuel gas.
 Efficiency of the worked out method is confirmed by calculations that are based on industrial data received during exploitation of Bohorodchany compressor station.