The investment value of on-line monitoring of power equipment highlights that the high growth of downstream demand for on-line monitoring products can be maintained. The necessary monitoring of power equipment to ensure its stable operation is of great significance to the reliability and safety of power system operation. With the continuous development and maturity of on-line monitoring technology and the successful application of on-line monitoring technology in China's power system in recent years, the state maintenance alternative periodic maintenance has been accepted by the power system and has become an inevitable trend of equipment maintenance.
For a long time, China's power system for the implementation of regular maintenance of power equipment system, that is, according to the planned time period of the equipment testing and maintenance, so there overuse and overhaul drawbacks. With the new changes in the form of electrical equipment defects, on-line monitoring of partial discharge, chromatography, SF6 gas quality online monitoring began to increase. State Grid Corporation made it clear that from 2010 onwards to promote the full implementation of equipment condition maintenance, equipment to enhance the overall level of intelligence, promote the use of smart devices and technologies to achieve online warning of network security and intelligent monitoring equipment.
Power equipment on-line monitoring technology refers to the measurement and diagnosis system and technology that can be directly recorded on the power equipment and can record the characteristic quantity of the equipment operating status in real time. On-line monitoring system generally consists of advanced sensor technology, computer and information processing technology, communication systems, expert analysis system and a more complete system data information library.
Online Monitoring System to a major equipment substation, for example, there are: the capacitance of the capacitive devices, dielectric loss line monitoring; metal oxide surge arresters full current, resistive current line monitoring; Transformer body insulating oil chromatography-line monitoring, measuring fiber temperature-line monitoring, the body UHF line monitoring PD, PD casing, dielectric loss online monitoring, the switching load dynamic characteristic line monitoring; of GIS UHF PD-line monitoring, the micro-line monitoring of water; switching mechanical properties and monitoring Switchgear optical fiber temperature online monitoring, SF6 gas density online monitoring.
The investment value of on-line monitoring of power equipment highlights that the high growth of downstream demand for on-line monitoring products can be maintained. First, the state grid company to implement state-of-the-art maintenance and construction of smart grid has been identified, the reliability of the grid more stringent requirements, on-line monitoring of products is an integral part of its indispensable; Second, in addition to substation requirements, the stock reform some more Large space; Third, online monitoring products from single product monitoring to substation integrated monitoring system development trend. In addition, with the increasing power equipment and the shortage of line workers, power grids need to rely on online monitoring products to improve their management.
From the State Grid Corporation bidding situation, the current online monitoring products market is mainly concentrated in the smart grid substation link. State Grid Corporation of China in the smart grid planning report also has substation status monitoring system construction as an important substation intelligent content. Intelligent substation through the state monitoring unit to achieve the transformer oil chromatography, partial discharge of the combination of electrical appliances, arrester full current and other major equipment, online monitoring of important parameters for the management of power grid equipment to provide basic data support. Real-time status information through the expert system analysis and processing can make the initial decision-making, intelligent devices to achieve station self-diagnosis.
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