The invention discloses a wWind power plant wind speed combined prediction method based on wavelet analysis

Abstract

The invention discloses a wind power plant wind speed combined prediction method based on wavelet analysis. The methods of wavelet analysis, genetic algorithm, particle swarm algorithm, neural network, support vector machine are combined,WAVELET ANALYSIS, Genetic algorithm, Particle swarm optimization, a neural network is combined with methods such as a support vector machine; hHigh nonlinearity,randomness and instability of wind speed signals are fully considered, t, the wind speed signals are decomposed into multiple layers of signals through wavelet analysis, t, training prediction is conducted on the signals of all the layers through multiple prediction methods, and the global convergence precision and the prediction precision of the wind speed signals are improved through configuration of weight coefficients. According to the method, t, the wind speed prediction result with higher precision than that of a single prediction method can be obtained. Technical reference is provided for improving wind power prediction accuracy of an electric power system, a power grid dispatching department can reasonably arrange dispatching plans, power grid operation cost is reduced, and complete and stable operation of a power grid is guaranteed.

Description

technical field [0001] The invention relates to the technical field of new energy power generation, in particular to a method for wind speed combination prediction in wind farms based on wavelet analysis. Background technique [0002] In recent years, with the rapid development and utilization of wind power generation technology, the installed capacity of wind power has risen sharply, and the global wind power industry has flourished. However, due to the intermittent and random nature of wind power generation, there are many challenges in integrating wind power generation with traditional grid systems, including energy generation planning and turbine maintenance scheduling, safe operation of the grid system, and changes in interconnection standards, etc. Accurate wind power forecasting can provide an important basis for power dispatching and effectively reduce the impact of wind power on the grid. Since wind power has a direct relationship with wind speed, wind power predic...

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Problems solved by technology

[0004] In order to solve the deficiencies in the prior art, the present invention provides a combined wind speed prediction method based on wavelet analysis, which solves the wind speed prediction accuracy caused by the randomness and non-stationarity of the wind speed signal of the wind farm in the prior art. not high problem

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