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| An efficient operation and maintenance method for power dispatching and control cloud |
| DOI：10.19783/j.cnki.pspc.190965 |
| Key Words:dispatching and control cloud continuous integration and continuous deployment (CI/CD) Jenkins+Gitlab+ Ansible integration automated operation and maintenance |
| Author Name | Affiliation | | CHEN Zhenyu | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | LIU Dong | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | GAO Xingyu | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | DI Fangchun | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | HUANG Yunhao | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | LI Dapeng | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China | | ZHANG Jie | 1. Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology
(China Electric Power Research Institute), Beijing 100192, China
2. Big Data Center, State Grid Corporation
of China, Beijing 100031, China
3. Institute of Microelectronics, Chinese Academy of Sciences,
Beijing 100029, China
4. State Grid Tianjin Electric Power Company, Tianjin 300010, China |
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| Abstract:With the continuous development of new IT technologies, such as cloud computing, big data, artificial intelligence and so on, the scale of the dispatching and control cloud they build is expanding continuously. At the same time, the number of the services of the dispatching and control cloud are also increasing greatly. This all makes the man-made operation and maintenance mode of the dispatching and control cloud inefficient and of high error rate. It is difficult to guarantee the safe and high-quality operation of a power grid and the lean and efficient operation of the dispatching management. A Continuous Integration and Continuous Deployment (CI/CD) platform can achieve efficient and accurate maintenance of the dispatching and control cloud. In this paper, the CI/CD platform, which consists of the Jenkins, Gitlab and Ansible, is introduced to complete the operation and maintenance tasks of the dispatching and control cloud, such as automatic build, version control, and batch deployment. Finally, through the simulation of the dispatching and control cloud, it is verified that this scheme can reduce operation and maintenance workloads and improve work efficiency. |
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