Bettering of Supervisory Control System and Communication for Direct Grid-Connected Excited Synchronous Wind Power Generators with Servo Motor Control
| Autor: | Chih-Hsiang Chen, 陳致翔 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 This thesis uses Microsoft Visual Studio and C# programming language to construct an user interface containing several functions, such as real-time, remote monitoring and data analysis, and applying to The Direct Grid-Connected Excited Synchronous Wind Power System. The real-time monitoring system is connected to the power generator system by Serial Communication Interface (SCI) and RS-485 platform. We program a packet form which can be used to communicate between systems smoothly, analysis the data captured from power generator system and display on the monitoring system. About the data, it would also be updated to the remote monitoring system, portable devices and Microsoft SQL Server. This thesis principally focuses on improving the performance of operating and communicating of the monitory system. The original program used to manage threads by .Net Framework 3.0 to increase the calculating speed mostly. However, .Net Framework 4.0 has been popular for years, this version mainly implements the concept of parallel operating to offer software developers much more flexibility. Different from the way to run the multi-thread, parallel calculation is belonged to system level, and has an ability to arrange every task to different CPU automatically via Task Parallel Library. Additionally, it can also adapt the number of threads according to detect the load of every CPU until we use up every CPU. About bettering transmission efficiency, we deeply do the research to the communication circuit and modify it in order to success the communication under a high baud rate condition. In addition, we solve the problem happening when we raise the transmission speed by “Data-Fragmenting” originating from the concept of 5G MIMO and maximum transmission unit (MTU) used in TCP/IP. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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