Overall active power prediction method for regional wind power plant

Abstract

The invention discloses an overall active power prediction method for a regional wind power plant, and the method comprises a flow field numerical model and comprises the following steps: S1, grid division, S2, boundary condition setting, S3, solving parameter setting, S4, calculation by an SSTk-omega turbulence model, and adoption of an SIMPLEC algorithm as a pressure and speed coupling algorithmand S5, analysis of numerical simulation results. Prediction performance of each wind power plant in the region is considered, ICEM software is utilized in the CFD simulation calculation system to generate the structured grid by creating the Block, and by means of the advantage of good geometric simulation adaptability of the structured grid, unstructured grid division is carried out on the complex geometric model. The power prediction value of the wind power plant with poor prediction performance is calculated according to the change trend of the wind power plant with excellent prediction performance through a certain weight, an SSTk- omega turbulence model is adopted for solving and calculating, the SIMPLEC algorithm is adopted as the pressure and speed coupling algorithm, and the method can improve the overall generated power prediction accuracy of the regional wind power plant.

Description

technical field [0001] The invention belongs to the technical field of electric power, and in particular relates to a method for predicting the overall active power of a regional wind farm. Background technique [0002] Aiming at the problem of wind power volatility, universities, scientific research institutions, power generation companies, equipment manufacturers, power grid companies and other units have carried out a lot of research on wind power prediction and achieved many results. However, due to the wide distribution of wind power generation, the meteorological, resource, and geographical characteristics of different regions vary greatly, and the performance level of the prediction system of each wind farm is uneven. In many areas, the prediction effect of wind power generation is not ideal. From the perspective of wind power grid connection, in fact, the power system is not concerned with the power conversion of a single wind farm, but more concerned with the overal...

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Problems solved by technology

[0003] However, the current regional forecast is a simple accumulation of the predicted power of each wind farm. Due to the difference in the forecast level of each wind farm, the accuracy of the overall regional wind power generation power forecast is not high.

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