Study On Oil Chromatogram On-Line Monitoring Information System For Power Transformer

The power transformer is one of the key devices in power system and its reliability directly concerns the safety of the whole power network. The traditional off-line oil meteorologic chromatogram method is mainly applied to judge its running status. This preventive method is not able to detect the fault nowadays, due to its shortcomings such as complexity of processing, time costing and so on. It is an urgent problem that how to find out the fault status in transformer, how to control the system effectively and manage the information safely, using the oil meteorologic chromatogram analysis method.Combined with the strongpoint of the oil chromatogram analysis and the on-line monitoring method, the oil chromatogram on-line monitoring system for power transformer is able to monitor the the dissolved gas in the oil and analyze it without stopping the devices. Being the its key componet, the information system is able to control the oil chromatogram on-line monitoring system, display the chromatogram result in real time and process the oil chromatogram chart data. According to the requirement of the "Guide to the analysis and the diagnosis of gases dissolved in transformer oil", a series ways of gas analysis and fault diagnose are developed based on the conventional IEC three-ratio method. More advanced method, such as fuzzy three-ratio method, is also introduced and applied to in order to avoid the inherent shortcoming of the traditional three-ratio method. The artificial neural network combined by genetic algorithm is also applied to the power transformer fault diagnosis and its result analyzed.The software system is developed on the popular C++ Builder 6.0 RAD(rapid application development) environment, using Microsoft SQL 2000 as its database. The system is running on Windows 2000 plateform in order tokeep the stabability and the popularity. The Role-Based access control theory is adopted to control the access privilege in order to maintain the data security. The system's running status, monitoring result and the error occurred are analyzed at the end of the thesis.