Wind electricity power prediction index evaluation method and device for power grid peak load regulation capacity limit values

Abstract

The invention relates to a wind electricity power prediction index evaluation method and device for power grid peak load regulation capacity limit values. The detection method comprises steps that parameters required for wind electricity prediction calculation are read; actual data, prediction data and peak load regulation capacity limit data of wind electricity active power are read; normalization processing on the data is carried out; off-limit accuracy and a prediction electric quantity error are calculated; average weight accuracy is calculated. The invention further relates to the device, the device comprises a data reading module, a data processing module, an off-limit accuracy calculation module and a weight accuracy calculation module. The method is advantaged in that accuracy of a wind electricity power prediction result is evaluated at different time segments of peak flat valley points, algorithm accuracy can be not only reflected from more aspects, but also a scheduling worker is facilitated to master a state of a present prediction device, reasonable adjustment can be carried out in combination with peak flat valley time segments and the power grid peak load regulation capacity during scheduling plan making, and the method has strong practical values.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a wind power power prediction index evaluation method and device for the peak-shaving capacity limit of a power grid. Background technique [0002] With the increasing proportion of wind power in the power grid, the volatility and intermittency of wind power have brought severe challenges to the safety and stability of the power system. Reasonable forecasting of wind power can assist power system dispatchers to formulate careful Scheduling plan, adjust the proportion of wind power in advance, the wind power forecasting module is an important part of the wind power energy dispatching system, whether the wind power forecast is accurate, is an important factor for the correct and stable operation of the entire system, a reasonable evaluation of wind power forecasting, It can not only reflect the accuracy of its algorithm, and then help the algorithm designer to improve the level ...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is: the technology currently used cannot be used for a long time, and the time limit is strong. In addition, it cannot be refined to the daily peak and valley periods, and the accuracy of the prediction cannot be investigated from the perspective of the actual operation of the peak shaving capacity.

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