GB/T 32880.3-2016 in English
VALIDPower quality and quality assessment - Part 3: Methods of data collection
- Issued on:2016-08-29
- Implemented on:2017-03-01
- File Format:PDF
- Delivery:Via email within 5 business days
$418.00
| Standard No: | GB/T 32880.3-2016 |
| Document status: | VALID |
| Title in English: | Power quality and quality assessment - Part 3: Methods of data collection |
| Title in Chinese: | 电能质量经济性评估 第3部分：数据收集方法 |
| Language: | English |
| File Format: | Electronic (PDF) |
| Delivery: | Via email within 5 business days |
| Issued on: | 2016-08-29 |
| Implemented on: | 2017-03-01 |
| ICS Classification: | 29.020-Electrical engineering in general |
| Chinese Classification: | K04-Basic standards and general methods |
| Professional Classification: | GB-National Standard |
| Related Keywords: | data collection
data structure system data typeelectricity data collection requirements data collection cycle non-standard data collection |
| Related Topics: | electrical energy
GB/T 32880.3-2016 data method data collection Power Quality Photoelectric Performance Data GB/T 32880.3 GB/T 32880.3-2016 economy Artificial intelligence data set quality management capability assessment method |
《GB/T 32880.3-2016电能质量经济性评估 第3部分：数据收集方法》由TC1（全国电压电流等级和频率标准化技术委员会）归口，主管部门为国家标准化管理委员会。
Introduction
Analysis of the core content of the standard
This standard specifies the scope, content and methods of data collection in the economic evaluation of power quality, covering the three major types of data collection requirements: economic cost basis data, monitoring data and equipment parameters.
Data structure system
| Data type | Electricity user | Public distribution network |
|---|---|---|
| Economic cost data | 26 items such as scrap loss and shutdown cost | 11 items such as equipment maintenance and power sales loss |
| Monitoring data | Event-type disturbance records, continuous indicator annual statistics | |
| Equipment parameters | Rated parameters, harmonic characteristics, system short-circuit capacity, etc. | |
Key technical methods
1.
Simulation prediction method
Applicable to event-based power quality assessment, including:
- Fault point method: Determine the sag amplitude/duration through short-circuit calculation
- Monte Carlo method: Combine EMTP simulation to reflect system randomness
- Critical distance method: Calculate the sag range based on the voltage divider formula
2. Probability analysis method
Applicable to continuous harmonic assessment, by establishing a probability density function to calculate:
- Expected value of harmonic loss cost: E(Dw) = ∑∫Pk,j·f(Gh)dGh
- Expected value of equipment aging cost: based on thermal stress model L=L0'Kp-nexp(-B/θ)
Implementation suggestions
- The data collection cycle should be ≥1 year, with special attention paid to abnormal data
- The 21 statistical tables in Appendix A must be fully filled out before the equipment is put into operation
- Monitoring data must be stored in the PQDIF standard format
- Economic evaluation must distinguish between direct losses and passive savings
Background of standard evolution
This part and GB/Z 32880.1-2 constitute a complete evaluation system, which solves the problems of non-standard data collection and difficulty in quantifying economic losses in traditional methods, and systematically proposes for the first time:
- A clear definition of the economic cost of power quality
- Mathematical modeling method for data estimation
- Association rules between equipment parameters and monitoring data
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