| Internet of Things technology used in smart grid will greatly enhance the breadth and depth of information.It's conducive to fully integrated information resources and made power grid intelligent.However,internet of things technology applied in smart grid is still in its infancy for now.It hasn't been applied in the field of switchgear online monitoring.Switchgear as the core equipment of the distribution network.It's prone to insulation defects resulting in significant economic losses due to its complex structure and short insulation distance.The coverage of existing charged detection is small,which is unable to meet the power system requirements of maintain efficiently.Therefore,the development of new on-line switchgear monitoring system is particularly important.In this paper,Internet of things technology and transient earth voltage was used in monitoring system.This paper has done in-depth study of the partial discharge signal acquisition and analysis of switchgear,the key issues such as system self-organizing network and data communication.Finally,a set of on-line monitoring system of switchgear was designed based on them.Firstly,the thesis introduced the status quo of IOT technology and partial discharge detection technology,studied the wireless sensor network,ZigBee Wireless Ad Hoc Network Technology and AODV multi-node data transmission mechanism.Then,this dissertation did a simulation of switchgear partial discharge TEV signals based on finite integral method.Explore the relationship between discharge capacity and TEV measurements of the four typical defect models.At last,this article introduces the design of on-line switchgear monitoring system in detail including networking,data processing and other functions.The system was applied in multiple substations to complete the switchgear on-line monitoring tasks.The experimental results show that the system is stable and successfully found a case of partial discharge fault of switchgear. |
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