Wind electricity generation scheduling compilation system on basis of wind electricity volatility, and compilation method thereof

Abstract

The invention relates to a power generating scheduling compilation of a wind electricity grid-connected electric system, and specifically relates to a wind electricity generation scheduling compilation system on basis of wind electricity volatility, and a compilation method thereof. The system comprises a model module, an algorithm module and a model algorithm screening module; the system receives wind electricity information and electrical network information and selects different models for an optimization calculation; the model algorithm screening module obtains rating information from an evaluating rating library, and obtains a model and an optimization result corresponding to the rating information; the model algorithm screening module selects a model and an optimization result with a highest rating as a generation scheduling which is to be passed down. A practical generation scheduling, and a generation scheduling of each model are compared; and the rating information is continuously modified according to an accuracy degree. After long-time application, different model selections and preset parameters in a specific situation are stored, so that the electricity scheduling intelligent optimization compilation system can be more and more suitable for various dynamically changeable environments and requirements.

Description

technical field [0001] The invention relates to the preparation of power generation plans for a wind power grid-connected power system, in particular to a wind power generation plan preparation system and preparation method taking into account wind power fluctuations. Background technique [0002] Restricted by the characteristics of wind power itself and the existing level of wind power forecasting, the current wind power forecasting accuracy is low. Conventional wind power output forecast results are generally deterministic point forecasts, that is, an exact value is given, but it is impossible to estimate the probability of this value, and it is also impossible to determine the possible fluctuation range of the forecast result. Directly using the wind power prediction value with large error for economic dispatch calculation can not obtain the optimal dispatch plan, and the reliability and economy of system operation cannot be guaranteed. In a system with large-scale wind...

AI Technical Summary

Problems solved by technology

However, there are many factors that affect the uncertainty of wind power, such as the geographical information of wind farms, the time scale of wind power prediction, the level of wind power prediction, etc., and the accuracy of various dispatching models is also quite different.

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