Big data analysis method for warning of heavy-load and overload of electric power system

Abstract

The present invention relates to a big data analysis method for warning of heavy-load and overload of an electric power system. The method comprises: preprocessing historical electric power load data; extracting a set of attributes that are strongly related to a load attribute in preprocessed historical electric power load data D, establishing a data set D' that comprises load attribute data and the set of attributes strongly related to the load attribute; dividing the data set D into a normal operation data class, a heavy-load data class and an overload data class by using a clustering method; and constructing an electric power load data prediction model according to the data set D, predicting a heavy-load probability and an overload probability of a transformer. According to the method provided by the present invention, the heavy-load probability and the overload probability of each covered area in a specific time interval of a specific period and region is predicted by using historical load data, weather data, and other external data, so as to optimize allocation of human and material resources for testing, maintenance and the like of the distribution network in the period, improve system operation safety and stability, and reduce the labor intensity the staff of the power grid.

Description

technical field [0001] The invention relates to the technical field of power load forecasting, in particular to a big data analysis method for power system heavy overload early warning. Background technique [0002] Power load has two meanings: on the one hand, it refers to the service objects of the power industry, including departments, institutions, enterprises, institutions, factories, rural areas, workshops, schools and various power-consuming equipment; It refers to the specific quantity of power and electricity used by the above-mentioned power-consuming units, power-consuming departments or power-consuming equipment. The load concept in power load forecasting refers to the historical situation and future development trend of electricity and electricity consumption in the national economy as a whole or in departments or regions. [0003] Load forecasting is to determine the load data at a specific time in the future based on many factors such as system operating char...

AI Technical Summary

Problems solved by technology

[0004] At present, the current situation of load characteristics, the main factors affecting load characteristics and the change trend of load characteristics in the future have been systematically analyzed and studied, and some conclusions with guiding significance and reference value for power planning and grid operation have been drawn. However, there is a lack of analysis of the relevant factors affecting the load

Limited to past conditions, in most systems, the influence of weather, temperature and other factors on load is not considered, and the prediction accuracy is not high

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