Weather prediction method used for micro power grid system

Abstract

The invention discloses a weather prediction method used for a micro power grid system. The method includes a step 1 of collecting and storing local weather information Rt at a t moment regularly. Themethod also includes a step 2 of acquiring data whose address is identical to that in the step 1 and whose time point is identical to that in the step 1 from State Meteorological Administration, namely, acquiring and storing history true weather information from the State Meteorological Administration; acquiring State Meteorological Administration history predication weather information corresponding to the history true weather information from the State Meteorological Administration, wherein the history true weather information from the State Meteorological Administration is indicated by F1t; acquiring further weather forecasting information of the State Meteorological Administration which is indicated by F1't. The method further includes a step 3 of predicating the weather information of the next moment by adopting a smooth index method; a step 4 of fitting an optimization weather information regression model by taking F1t, F2t as the input while taking Rt as a target line by utilizing a linear regression method, and predicating weather information of a future period of time according to the model. The method can obtain more accurate weather predication data.

Description

technical field [0001] The invention relates to the field of micro-grid technology, in particular to a weather prediction method for a micro-grid system. Background technique [0002] With the continuous expansion of the scale of the power grid, the disadvantages of the ultra-large-scale power system are becoming more and more prominent, such as high cost, difficult operation, and difficulty in adapting to the increasing safety and reliability requirements of users and the diversified power supply needs. Especially after several large-scale blackouts occurred in the world in recent years, the vulnerability of the power grid was fully exposed, so distributed generation has been put on the agenda. Renewable energy power generation has become an important driving force for the development of the power system, is an important part of the smart grid, and will play an increasingly important role in the future power system. As a result, countries around the world have begun to pay...

AI Technical Summary

Problems solved by technology

At present, there are problems of low prediction accuracy and weather

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