CN105427197A - Sampling method for residential electricity load calculation sample data - Google Patents
Sampling method for residential electricity load calculation sample data Download PDFInfo
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- CN105427197A CN105427197A CN201510984450.3A CN201510984450A CN105427197A CN 105427197 A CN105427197 A CN 105427197A CN 201510984450 A CN201510984450 A CN 201510984450A CN 105427197 A CN105427197 A CN 105427197A
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- 238000005070 sampling Methods 0.000 title claims abstract description 18
- 230000005611 electricity Effects 0.000 title claims abstract description 11
- 238000000034 method Methods 0.000 title claims abstract description 11
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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Abstract
The invention relates to a sampling method for residential electricity load calculation sample data, and belongs to the technical field of sampling. Selection of community samples is determined, then selection of single family samples is determined, and finally sampling time is determined. According to the sampling method for the residential electricity load calculation sample data, various influence factors are considered from multiple aspects, and the selected samples are enabled to have representativeness so that the electricity load calculation result is enabled to have more reference meaning.
Description
Technical field
The present invention relates to a kind of methods of sampling of residential building Calculation of electric charge sample data, belong to sample sample technique field.
Background technology
Calculation of electric charge is basis and the foundation of electrical design, and along with improving constantly of urban life level, the life of people and consumption concept are also in continuous change, and household electrical appliance popularity rate improves constantly.Therefore, in the electrical design of Urban House, need to hold trend accurately, adapt to the development need in epoch, meet residential electricity safety and request for utilization.
When to residential electric power carry calculation, the factor affecting carry calculation result is a lot, as the universal of household electrical appliance and use habit, selected community house type and move in the aspect such as to choose in number and sample time, all can produce obviously impact to result of calculation.
Summary of the invention
The invention provides a kind of methods of sampling of residential building Calculation of electric charge sample data, many-side considers various influence factor, makes the sample of selection representative, and then makes the result of calculation of power load have more reference significance.
To achieve these goals, the technical solution adopted in the present invention is:
The methods of sampling of residential building Calculation of electric charge sample data, comprises the following steps:
Choosing of step 1) community sample: community sample is chosen and need be met following condition:
A. occupancy rate reaches more than 90%;
B. in community single household floor area of building need comprise be less than 90 square metres, 90 to 140 square metres,
More than 140 to 170 square metres, 170 to 200 square metres and 200 square metres multiple house types;
C. resident living power utility and non-household electricity are by different transformer-supplied;
Single transformer amount of powering comprises and is less than 80 families, 81 to 150 families, 151 to 200 families, 201 to 300 families;
Step 2) the choosing of single household sample: choosing of single household sample need meet following condition:
A. the resident family of normal occupancy;
B. be less than 90 square metres, 90 to 140 square metres, 140 to 170 square metres, 170 to 200 square metres by single household floor area of building and 200 square metres sample respectively with first-class situation;
C. to the user of identical floor area of building, large the living of resident population's many and moon power consumption is extracted
Family;
Choosing of step 3) sample time: determine according to maximum power load, first determines according to the maximum power load situation whole year of the annual whole city maximum power load situation, residential building community supply transformer month of sampling; Again according to the power load situation determination power load in selected month maximum date as the sampling date; Daily load curve and the single household electricity consumption daily load curve of the transformer of fixing the date selected by last basis determine Sample interval.
The methods of sampling of residential building Calculation of electric charge sample data provided by the invention, many-side considers various influence factor, makes the sample of selection representative, and then makes the result of calculation of power load have more reference significance.
embodiment:
The methods of sampling of residential building Calculation of electric charge sample data provided by the invention, comprises the following steps:
Choosing of step 1) community sample: community sample is chosen and need be met following condition:
A. occupancy rate reaches more than 90%;
B. in community single household floor area of building need comprise be less than 90 square metres, 90 to 140 square metres,
More than 140 to 170 square metres, 170 to 200 square metres and 200 square metres multiple house types;
C. resident living power utility and non-household electricity are by different transformer-supplied;
D. single transformer amount of powering comprises and is less than 80 families, 81 to 150 families, 151 to 200 families, 201 to 300 families;
Single subdistrict may be difficult to meet above-mentioned all conditions simultaneously, and the multiple communities for this reason can choosing the time phase difference more than 5 years that puts into operation survey contrast (put into operation time different consumers difference to some extent) respectively.
Step 2) the choosing of single household sample: choosing of single household sample need meet following condition:
A. the resident family of normal occupancy;
B. be less than 90 square metres, 90 to 140 square metres, 140 to 170 square metres, 170 to 200 square metres by single household floor area of building and 200 square metres sample respectively with first-class situation;
C. to the user of identical floor area of building, large the living of resident population's many and moon power consumption is extracted
Family;
Choosing of step 3) sample time: determine according to maximum power load, first determines according to the maximum power load situation whole year of the annual whole city maximum power load situation, residential building community supply transformer month of sampling; Again according to the power load situation determination power load in selected month maximum date as the sampling date; Daily load curve and the single household electricity consumption daily load curve of the transformer of fixing the date selected by last basis determine Sample interval.
Above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, other amendments that those of ordinary skill in the art make technical scheme of the present invention or equivalently to replace, only otherwise depart from the spirit and scope of technical solution of the present invention, all should be encompassed in right of the present invention.
Claims (1)
1. the methods of sampling of residential building Calculation of electric charge sample data, is characterized in that: comprise the following steps:
Choosing of step 1) community sample: community sample is chosen and need be met following condition:
Occupancy rate reaches more than 90%;
In community, single household floor area of building need comprise and be less than more than 90 square metres, 90 to 140 square metres, 140 to 170 square metres, 170 to 200 square metres and 200 square metres multiple house types;
Resident living power utility and non-household electricity are by different transformer-supplied;
Single transformer amount of powering comprises and is less than 80 families, 81 to 150 families, 151 to 200 families, 201 to 300 families;
Step 2) the choosing of single household sample: choosing of single household sample need meet following condition:
The resident family of normal occupancy;
Be less than 90 square metres, 90 to 140 square metres, 140 to 170 square metres, 170 to 200 square metres by single household floor area of building and 200 square metres sample respectively with first-class situation;
To the user of identical floor area of building, extract large the living of resident population's many and moon power consumption
Family;
Choosing of step 3) sample time: determine according to maximum power load, first determines according to the maximum power load situation whole year of the annual whole city maximum power load situation, residential building community supply transformer month of sampling; Again according to the power load situation determination power load in selected month maximum date as the sampling date; Daily load curve and the single household electricity consumption daily load curve of the transformer of fixing the date selected by last basis determine Sample interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510984450.3A CN105427197A (en) | 2015-12-25 | 2015-12-25 | Sampling method for residential electricity load calculation sample data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510984450.3A CN105427197A (en) | 2015-12-25 | 2015-12-25 | Sampling method for residential electricity load calculation sample data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105427197A true CN105427197A (en) | 2016-03-23 |
Family
ID=55505379
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510984450.3A Pending CN105427197A (en) | 2015-12-25 | 2015-12-25 | Sampling method for residential electricity load calculation sample data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105427197A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105870920A (en) * | 2016-05-09 | 2016-08-17 | 国网山东省电力公司东阿县供电公司 | Sampling method for residential-electrical load sample data based on cloud computing |
| CN107315721A (en) * | 2017-06-27 | 2017-11-03 | 郭亮 | A kind of methods of sampling and system of the resident family of community based on low diversity factor ordered series of numbers |
-
2015
- 2015-12-25 CN CN201510984450.3A patent/CN105427197A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105870920A (en) * | 2016-05-09 | 2016-08-17 | 国网山东省电力公司东阿县供电公司 | Sampling method for residential-electrical load sample data based on cloud computing |
| CN107315721A (en) * | 2017-06-27 | 2017-11-03 | 郭亮 | A kind of methods of sampling and system of the resident family of community based on low diversity factor ordered series of numbers |
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| RJ01 | Rejection of invention patent application after publication | ||
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Application publication date: 20160323 |