Sampling method for residential-electrical load sample data based on cloud computing

A technology of electricity load and sample data, applied in the field of the power industry, can solve the problems of electric power consumption and the use of electricity, and achieve the effect of perfect facilities and improved accuracy

Inactive Publication Date: 2016-08-17
DONGA POWER SUPPLY CO STATE GRID SHANDONG ELECTRIC POWER CO +1
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Problems solved by technology

At the same time, the emergence of new appliances such as instant electric water heaters and floor heating systems will increase the maximum load. However, these appliances consume a lot of electricity and cannot be used with off-peak electricity. Currently, they are only used in high-end residential buildings.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Embodiment 1, this embodiment provides a sampling method of residential electricity load sample data based on cloud computing, including the following steps:

[0027] a. Community sample selection: Community sample selection must meet the following conditions: 1. The community facilities are complete, and the occupancy time exceeds 2 years, and the occupancy rate exceeds 95%. 2. There are at least two or more types of houses in the community. 3. . The power supply in the community is normal, and there is no power limit behavior. 4. Residential and non-living electricity in the community are powered by different transformers. 5. The number of households powered by a single transformer includes less than 80 households, and 81 to 150 households. , 151 to 200 households, 201 to 300 households; the choice of condition 1 mainly takes into account the maturity of the community. When the facilities of the community are complete and two years after the occupancy, basically the ho...

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PUM

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Abstract

The invention belongs to the field of power industry, relates to computing of an electrical load, and in particular to a sampling method for residential-electrical load sample data based on cloud computing. The sampling method includes the following steps of a, community sample selecting, wherein community sample selecting needs to meet the following conditions; b, single home sample selecting, wherein single home sample selecting needs to meet the following conditions; c, sampling time and sampling time point selecting. Compared with the prior art, the sampling method has the advantages that according to the sampling method for the residential-electrical load sample data based on cloud computing, the characteristics of existing residential electricity are considered from various angles, electrical load computing can be further effectively obtained, the accuracy of the computing result of the electrical load is greatly increased accordingly, and a guarantee is provided for safe electricity utilization.

Description

technical field [0001] The invention belongs to the field of electric power industry and relates to the calculation of electric load, in particular to a sampling method of residential electric load sample data based on cloud computing. Background technique [0002] With the improvement of people's living standards, people's life and consumption concepts have changed, and the penetration rate of household appliances has continued to increase. The electricity consumption characteristics of residential loads that meet residential electrical safety and use requirements have also undergone great changes. A good understanding will lead to many misunderstandings. Therefore, in the electrical design of urban residential buildings, it is necessary to accurately grasp the trend, adapt to the needs of life in the times, and meet the electrical safety and use requirements of residential buildings. [0003] Electric load calculation is the foundation and basis of electrical design. When...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q50/06
CPCG06Q50/06H02J3/00H02J2203/20
Inventor 孟杰任伟靳杰曹海霞秦娜王文伟王鹤黄淑英任慧张燕
Owner DONGA POWER SUPPLY CO STATE GRID SHANDONG ELECTRIC POWER CO
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