Assessment of automatic generation control performance of power generation units based on amplitude changes
| Autor: | Cui Shijun, Song Gao, Yan Zhao, Jiandong Wang, Xiangkun Pang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Automatic Generation Control
Computer science 020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology 02 engineering and technology Sample mean and sample covariance Power (physics) Variable (computer science) ALARM Amplitude Electricity generation Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Statistic |
| Zdroj: | International Journal of Electrical Power & Energy Systems. 108:19-30 |
| ISSN: | 0142-0615 |
| DOI: | 10.1016/j.ijepes.2018.12.046 |
| Popis: | Automatic generation control (AGC) is an important auxiliary service provided by power generation units, such that generated active powers closely follow the changes of desired active powers as required by power grids. This paper proposes a new method to assess the AGC performance of a power generation unit by comparing amplitude changes of generated and desired active powers. Time sequences of generated and desired active powers are separated into short straight lines, from which their amplitude changes are obtained. If the difference between amplitude changes of generated and desired active powers are larger than the threshold of significant amplitude changes, then the performance is regarded to be unsatisfactory. As a critical parameter, the significant threshold of amplitude changes is determined by a relationship between the amplitude change and a so-called R-squared statistic. An alarm variable is introduced to indicate the performance status, and a performance index is formulated as the sample mean of the alarm variable. The unsatisfactory performance is classified into six abnormal scenarios based on the amplitude changes for a further analysis. Industrial examples are provided to illustrate the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
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