| Autor: |
Guangze Pan, Qin Luo, Xingzhe Hou, Fuli Yang, Chuangmian Huang |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE). |
| DOI: |
10.1109/auteee.2018.8720801 |
| Popis: |
The smart meter is one of the necessary equipment for building a smart grid system. Its reliability directly affects the safe and stable operation of the smart grid system and it is also directly related to the reliability and safety of power supply for thousands of households. In this paper, the reliability modeling and evaluation method of smart meter is proposed. The initial trend of the frequency histogram and cumulative distribution function is used to select the distribution model of smart meter. Then, the final distribution is determined according to parameter estimation and model fitting test, and the reliability of smart meter can be achieved. The case example shows that the method is simple and effective. Under certain conditions of the sample size, the method is an effective means of system reliability statistical modeling. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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