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A large-user business expansion auxiliary analysis method and device based on load characteristics

A technology for auxiliary analysis and load characteristics, which is applied in the field of auxiliary analysis of large user industry expansion based on load characteristics.

Pending Publication Date: 2019-06-18
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to solve the deficiencies in the prior art, thereby providing an auxiliary analysis method for large user business expansion based on load characteristics, which is used to solve the problem that the peak-to-valley difference rate of the large user's reporting and installation access point is large, The problem of low operating efficiency of the power system

Method used

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  • A large-user business expansion auxiliary analysis method and device based on load characteristics
  • A large-user business expansion auxiliary analysis method and device based on load characteristics
  • A large-user business expansion auxiliary analysis method and device based on load characteristics

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Experimental program
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Embodiment 1

[0125] This embodiment provides an auxiliary analysis method for large user business expansion based on load characteristics, such as Figure 5 shown, including the following steps:

[0126] --S1: Obtain the historical load electricity consumption data of large users from the power grid company, and the electricity consumption belongs to multiple users in multiple industries, and collect at least 96 points of load data for each user in a typical day to form a daily load curve;

[0127] --S2: Extract the typical load pattern of existing users through fuzzy C-means clustering, and establish a large user load feature library;

[0128] The specific establishment process is:

[0129] S21: Calculate the historical power consumption data of large users, the specific formula is:

[0130] U=[U 1 u 2 …U i …U N ] T

[0131] u i =[u i,1 u i,2 … u i,j … u i,96 ]

[0132] In the formula: U i — Article i historical electricity consumption data; u i,j —The active power o...

Embodiment 2

[0179] An auxiliary analysis device for large-scale user business expansion based on load characteristics, characterized in that it includes:

[0180] --Data Acquisition Module: Used to obtain the historical load data of large users from the power grid company; in the data acquisition module, the electricity consumption belongs to multiple users in multiple industries, and at least 96 points of load data on a typical day for each user are collected , forming a daily load curve.

[0181] --Load feature library building module: used to extract the typical load pattern of existing users through fuzzy C-means clustering, and establish a large user load feature library;

[0182] The load feature library building module includes the following sub-modules:

[0183] Historical electricity consumption data sub-module: used to calculate the historical electricity consumption data of large users, the specific formula is:

[0184] U=[U 1 u 2 …U i …U N ] T

[0185] u i =[u i,1...

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Abstract

The invention relates to a large user business expansion auxiliary analysis method and device based on load characteristics. The method firstly, obtaining historical load power utilization data of a large user from a power grid company; Extracting a typical load mode of an existing user through fuzzy C-means clustering, and establishing a large user load feature library; establishing load mode recognition method through a gradient lifting tree model, and based on user load characteristics, simulating new user electricity consumption behaviors through corresponding electricity consumption modesin a load characteristic library; And finally, proposing a business expansion power supply scheme optimization model, and determining an optimal power supply scheme. According to the method and the device, the problems of high peak-valley difference rate and low operation efficiency of the electric power system of a large user installation access point can be solved, and the safety and the stability of the electric power system are improved.

Description

technical field [0001] The application belongs to the technical field of power industry expansion and installation, and in particular relates to an auxiliary analysis method and device for large-scale user business expansion based on load characteristics. Background technique [0002] Business expansion and installation is one of the key businesses of power supply companies for power customers. Through business expansion and installation, the power system marketing department can grasp the customer's electricity demand in a timely manner, and formulate a scientific and reasonable power supply plan based on the actual situation of the grid structure and customer location to meet the customer's power demand. The formulation of the current power supply scheme generally only considers the maximum load of the user, and seldom considers the load characteristics in detail. If large users with similar load characteristics are concentrated in the same power supply point, the peak-to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCY02P80/10
Inventor 袁少光魏澄宙李晓蕾郭志民耿俊成王自强田杨阳张小斐万迪明
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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