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Clustering algorithm-based power user load measurement and calculation method

A clustering algorithm, a technology for power users, applied in the direction of load prediction, calculation, electrical components, etc. in the AC network, which can solve the problems of fixed measurement range and unmeasurable load data.

Inactive Publication Date: 2018-09-04
NANJING UNIV OF FINANCE & ECONOMICS
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Problems solved by technology

However, the current collection of load data is top-down, collected and reported to the superior data center through the load control center, and its disadvantage is that the measurement range is relatively fixed, and the collection range of a load control center is limited by the wiring geographical space; Once the collection unit fails or the communication link fails in the control center, the load data in this area cannot be measured

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  • Clustering algorithm-based power user load measurement and calculation method
  • Clustering algorithm-based power user load measurement and calculation method
  • Clustering algorithm-based power user load measurement and calculation method

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Embodiment Construction

[0036] In the invention, a method for measuring and calculating power user load based on a clustering algorithm is provided, comprising the following steps:

[0037] A. Collect historical electricity consumption data of users, including electricity consumption and daily load curves, etc.;

[0038] B. Transform historical data into a formatted machine learning sample library through data preprocessing technology;

[0039] C. Apply the clustering algorithm to train the power user clustering model and test the clustering effect;

[0040] D. Determine the type of typical users according to the clustering results, as the installation point of the real-time acquisition and measurement device;

[0041] E. Read the electricity load data of typical users in real time, and estimate the total electricity consumption of class users and the electricity consumption of all users.

[0042] In step A: the user historical data is the daily load curve data (number of users × 365 × 24) and dail...

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Abstract

The invention discloses a clustering algorithm-based power user load measurement and calculation method, and belongs to the technical field of power system measurement. The method comprises the following steps of collecting historical power utilization data of a user; converting the historical data into a formatted machine learning sample library through a data preprocessing technology; training apower user clustering model by applying a clustering algorithm, and testing a clustering effect; according to a clustering result, determining a class typical user as a real-time measurement apparatus installation point; and reading power load data of the typical user in real time, and calculating total power consumption of the class user and power consumption of all users. The power load quick measurement method for the users with similar power utilization behaviors is given by taking load measurement speed and precision into account through applying the clustering algorithm based on the historical data; the measurement apparatus installation expense is reduced; and reference information is provided for power system control.

Description

technical field [0001] The invention relates to the technical field of power system measurement, in particular to a method for measuring and calculating power user loads based on a clustering algorithm. Background technique [0002] With the improvement of social and economic level, the load composition of industrial electricity consumption and residential electricity consumption is becoming more and more complex, and the load curves show high differences, which is essentially the diversification of electricity consumption behavior. However, while diversifying, it can also be found in the load curves of a large number of users that there is a similarity in power consumption behavior among users. Therefore, the overall characteristics of power user load are group diversity and intra-group similarity. [0003] The load is an important part of the power system. The parameters of the load have an important impact on the safety and stability of the power system, such as the impa...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06H02J3/00
CPCG06Q10/06375G06Q50/06H02J3/00H02J3/003Y04S10/50
Inventor 苏杭丽
Owner NANJING UNIV OF FINANCE & ECONOMICS
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