Abstract
The relevance of wind power plant process state mathematical modeling, defining the volume of the developed electric power for each consumer on the basis of dynamic patterns of electricitydemanded for each consumer in northern areas, is proved. It is defined, that factors influencing on the dynamic patternselectricity demandby each consumer are electric power production variabilitydue to power unit idle time because of a weak or strong wind, or in case of planned or emergency maintenance. Technological process operating modes of capacity load (wind turbine, electric power storage system) to solve the problem electric power production variability due to power plant idle times because of a weak or strong wind, or to perform planned or emergency maintenance, are established. The description of the process state equation of wind power plant, defining the volume of the developed electric power for each consumer accounting for dynamic patterns of demanded electric power by a consumer as a result of developed electric power volume fixing to a certain time step, and also bytechnological processoperating mode factorthat takes into account the capacity load as a result of factors affecting electric power production variability, due topower plant idle times because of a weak or strong wind, or to perform planned or emergency maintenance, is executed. The description of the equation of equipment idle time calculation(wind turbine, electric power storage system) due to redistribution, maintenance or weak/strong windis made. The given equation is a component of the wind power plant process stateequation, defining volume of the developed electric power for each consumer on the account of the demanded electric power dynamic patterndemanded for each consumer. The description of the equation of index variation Si, defining power plant capacity load and electric power storage system, describing a technological process, as a part of wind power plant process state mathematical model for scoping the produced electric power for each consumer, is executed.
Published Version
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