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

A baseline load and identification method technology, applied to AC network circuits, electrical components, circuit devices, etc., can solve the problem of poor peak shifting effect, lack of real understanding of the key and importance of peak shifting power management, and regardless of the actual use of users Electrical characteristics and other issues to achieve the effect of improving accuracy and applicability

Pending Publication Date: 2019-11-15
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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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

Method used

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

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Embodiment

[0033] Such as figure 1 Shown is a method flow chart of the load identification method based on the baseline load model of the regression analysis method of the present invention, and its specific steps are as follows:

[0034] The regression analysis method can calculate the baseline load for a single user, but it is also suitable for calculating the baseline load for a user group. The main steps are: first, classify according to user type, location, etc.; The load data and its local temperature / humidity and other influencing factors data are used to establish a regression formula, and the parameters of the regression formula are obtained; finally, according to the established regression formula, the baseline load of other users in this group of users is estimated during the demand response period.

[0035] (1) Select data

[0036] The following two types of data are mainly used for regression analysis to calculate the user baseline load during the demand response period.

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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...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 沈泉江解梁军郭乃网宋岩庞天宇陈睿杨栋陈开能唐丽娜
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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