Load identification method of baseline load model based on regression analysis approach

Abstract

The invention relates to a load identification method of a baseline load model based on a regression analysis approach, which includes the following steps: S1, classifying power user data according tothe user type and the region; S2, for each type of users of the power user data after classification, selecting the power load data of individual users and relevant influencing factor data to establish a regression formula; S3, further obtaining the baseline load of other users in the type of group users in the demand response period according to the regression formula; and S4, identifying a peakstaggering potential load by using the baseline load obtained. Compared with the prior art, the method of the invention has the advantages of high accuracy and strong applicability and pertinence.

Description

technical field [0001] The invention relates to the technical field of power grid staggered dispatching, in particular to a load identification method based on a baseline load model of a regression analysis method. Background technique [0002] With the rapid development of the national economy, the upgrading and adjustment of the industrial structure, and the continuous improvement of people's living standards, the demand for electricity in all aspects of society has increased sharply, and the current supply of electricity is far behind the needs of construction and development, resulting in electricity The intensified contradiction between supply and demand has further increased the operation risk and operation cost of the power grid. At the same time, due to the continuous emergence of various new types of electrical equipment, the ownership rate and utilization rate of residential cooling and heating appliances have increased year by year, and the characteristics of elec...

AI Technical Summary

Problems solved by technology

The existing peak staggering power management usually does not consider the actual power consumption characteristics of users when arranging user peak staggering. It mainly prioritizes users according to the nature of power consumption and load level. Such a relatively extensive arrangement often leads to peak staggering effects. bad

Moreover, since my country's peak-shifting electricity management was developed under the tense situation of electric power, many electric power departments only treat it as a short-term work during the power shortage period, relying solely on administrative means to implement peak-shifting, without a real understanding of peak-shifting usage. The key and importance of electricity management

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