Power consumption peak avoidance method based on load characteristic index system

Abstract

The invention discloses a power consumption peak avoidance method based on a load characteristic index system. The method comprises the following steps: collecting historical power consumption load data of a power system, drawing a daily load curve, and finding out typical daily load curves of various power consumption objects through K-means clustering; with a load fluctuation rate, a limitable load for economic production guarantee, a peak value time difference rate and a peak period coverage rate as characteristic indexes, digging the characteristic indexes from the typical daily load curves, and establishing a peak avoidance value model integrating the characteristic indexes; and calculating peak avoidance values of the consumers according to the peak avoidance value model, carrying out a clustering analysis of the peak avoidance values of the power consumption objects, creating a peak avoidance ranking table, and analyzing the peak avoidance capabilities and a peak avoidance ranking of the power consumption objects according to the ranking table. Through the method provided by the invention, the peak avoidance potentials of the consumers can be truly reflected, so that the power consumers can be guided to reasonably avoid peaks. Therefore, the method achieves certain practical significance.

Description

technical field [0001] The invention relates to a power consumption peak avoidance method based on a load characteristic index system. Background technique [0002] In recent years, with the development of the economy and the improvement of people's living standards, the demand for electricity consumption in various industries in society is increasing. Most parts of the country are facing severe tension between power supply and demand. This serious imbalance between supply and demand not only brings troubles to the power grid, but also fails to provide high-quality and stable power for power users. The peak-avoiding power consumption mentioned in the present invention can be understood as peak-shaving and valley-filling, that is, reducing power consumption at the peak time of the power grid and increasing power consumption at the low time of the power grid. [0003] At present, when some power departments establish peak avoidance schemes, they mainly focus on users with lar...

AI Technical Summary

Problems solved by technology

[0005] However, according to the capacity and load curves of power users, it is possible to qualitatively perceive the strength of their peak avoidance capabilities, but this is not accurate enough

Images