Colony wind power plant output timing sequence simulation method based on random difference equation

Abstract

The invention relates to a colony wind power plant output timing sequence simulation method based on a random difference equation. The colony wind power plant output timing sequence simulation method includes the steps of (1) obtaining wind power plant historical wind speed data and the related constant of a wind power plant and a wind turbine generator; (2) conducting fitting to obtain the wind speed Weibull distribution related constant, and conducting statistics to obtain the wind speed autocorrelation coefficient, the correlation coefficient matrix, the season factor and the day factor; (3) generating the multi-dimensional related Brownian movement through the correlation coefficient matrix; (4) solving a stochastic differential equation to generate a wind speed timing sequence; (5) using the season factor and the day factor to modify the wind speed sequence; (6) generating a wind power plant output curve through the wind speed sequence in cooperation with the output character of the wind turbine generator, the reliability and the wind power plant wake flow effect of the wind power plant. The colony wind power plant output timing sequence simulation method has the advantages that the wind speed time sequence meeting the historical data random character can be obtained; correlation between wind power plants is considered, so that output simulation of the colony wind power plant more meets the reality.

Description

technical field [0001] The invention relates to the field of power system analysis, in particular to a method for simulating time series of output of cluster wind farms based on stochastic difference equations. Background technique [0002] The idea of ​​wind power time series output curve generation is that according to the statistical characteristics of the wind speed measured by the wind farm (or the wind tower data calculated to the hub height of the pre-installed wind turbine) and the correlation of wind speed between each wind farm, the random generation conforms to the wind speed statistical characteristics and A series of wind speed time series of correlation, combined with wind farm fan output characteristic curve and fan reliability model, thus generating time series of wind farm fan output. At present, there are three main methods of random generation of wind speed series: [0003] 1) The non-sequential Monte Carlo method directly performs multiple random samplin...

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Problems solved by technology

[0006] When some domestic and foreign literatures study the reliability of the system after wind power access, they compare the system reliability results obtained by using the time-series output simulation data of wind farms and the non-time-series simulation data. The comparison results show that the non-time-series simulation data does not take into account the Due to the timing characteristics of wind speed changes, the obtained reliability evaluation results are quite different from the actual ones.

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