Remote Monitoring And Analysis System For Smart Hydro Power Stations

With the development of smart grid, smart hydro power station building will be the future direction of development and a new target.And condition monitoring and fault diagnosis is an important means to achieve smart hydro power station. The equipments of hydropower stations have close relationships between them, and they constitute an organic whole coupled with each other. So analysis and diagnosis for the equipments needs to associate with the related equipment status and to be considered from the global. In order to analyze the operating status and evaluate the health of the equipment fully and accurately, an integrated monitoring and analysis platform integrated with all equipment status data is needed urgently, which meets the requirements of smart hydro power station. In addition, the study that the analysis and diagnosis can be achieved through the network instead of going to the site for the remote experts to improve the diagnosis efficiency is a focus for the researchers. Based on the summary of the current research situation of the equipment fault diagnosis technique and systems, the dissertation is focused on research an integrated remote monitoring and analysis system for smart hydro power station. The research is combined with the analysis needs of Gezhouba Hydro Power Station. And the methodology and technique are comprehensively investigated on integration of theory with practice.First, the characteristics of the equipment failure of hydro power station are analyzed. The work responsibilities and the procedures and methods of equipment operation analysis for the operating personnels are summarized. Then an intelligent equipment operation analysis method for the hydro power stations is present which can be performed automatically by simulating the experts. Status statistics provides data support for the equipment operaiotn analysis by periodical statistics and statistics in the same operation condition. Associated the operation condition and association status, the health status is evalutated and the performance degradation and failure is detected by operation analysis, which inclues the threshold analysis associated with the operation condition, association analysis and trend analysis. The performance degradation or failure event is analyzed by event analysis through fault trees and the fault suspect devices are list. Then the equipment failures are analyzed and the causes of the fault are confirmed by device analysis, which includes the diagnostic methods based knowledge rules, methods based simulation models, signature analysis as well as interactive diagnosis. The automatically realization of the method is studied. The characteristics of smart hydro power stations are analyzed and the existing monitoring and analysis sytems in the hydropower station are introduced, including monitoring and control system, condition monitoring systems as well as off-line analysis systems. The integration necessity of the systems for smart hydro power stations are studied. Taken the integration condition monitoring system as the main, various systems integration is realized from the site layer, the plant layer and the enterprise layer through information sharing, networking communications technologies. And an integrated hierarchical and distributed monitoring and analysis system is constituted. And time synchronization, operation condition synchronization and event synchronization means are adopted to achieve the organic integration and comprenhensive storage for the data of the system. According to the functional requirements of the system, the data hierarchy organizational strategy is studied and the data content and forms of organization are introduced. Then the safe status of the integrated system is analyzed. And the system security defence is carried out by the means of safe partition, hardware isolation,. The security test results show that the system is safe and reliable.For the current remote monitoring and analysis systems, it needs the experts to go to the site to operate. The idea of remote zero distance monitoring and diagnosis is proposed, that is, remote monitoring and diagnosis can be achieved through the network instead of going to the site for the experts, like experiencing on the site. And the zero distance is realized between the experts and the site. According to the needs analysis of the work on-stie, the function framework is designed, which contains remote zero distance status inspection, operation analysis, test analysis and fault diagnosis. In order to achieve the interaction between the remote uses and the system, the remote information exchange model based RIA is established. By means of equipment status digitization, visualization navigation as well as system status detection, the equipment and system status are displayed to the remote experts and the remote status inspection is realized. Remote operation analysis integrated threshold analysis, association analysis and trend analysis is provided for the experts through equipments status statistics. The system recognizes the test of the unit(manual test and the operation condition experienced in normal operation) and the test data are stored, then the test performance indicators are calculated and the test performance is evaluated, at last the test reports are generated automatically. So the remote test analysis is carried out. Besides, the tools of raw data extraction, three-dimensional data queries, fault characteristics analysis as well as fault diagnosis are provided, and the experts on the remote will be able to perform fault diagnosis. The database and knowledge base as well as the realization methods of the function are introduced in detail.The integrated remote zero distance monitoring and analysis system for the smart hydro power stations has been applied in Gezhouba Hydro Power Station successfully. Combined with the examples, the application achievement of remote zero distance monitoring, analysis and diagnosis are demonstrated, which proves the feasibility and practicability of the system. The system provides an interactive information platform for the expert to perform the monitoring, analysis, fault diagnosis and maintenance decision-making of the equipment. It also provides a powerful tool for the operating pesonnels to run the operation analysis and to grasp the health condition of the equipment. All the achievements laid a solid foundation to achieve smart hydropower stations.