Substation main and auxiliary equipment panoramic model and modeling method

Abstract

The invention discloses a substation main and auxiliary equipment panoramic model and a modeling method. The method comprises the following steps: carrying out spatial association constraint modelingon various main and auxiliary equipment of the transformer substation; establishing full-life-cycle time historical attributes of main and auxiliary equipment objects of the transformer substation andtime dynamic attributes of all sensing monitoring points of the equipment, describing space state attributes of the equipment with the full-life-cycle time historical attributes of the equipment andcomponents of the equipment based on the space association model and the time association model, and establishing a space-time association model of the main and auxiliary equipment of the transformersubstation. According to the substation main and auxiliary equipment panoramic model, spatial characteristics and association constraint relationships of equipment objects and monitoring points of theequipment objects are considered, description of time characteristic dynamic change elements of the equipment is also considered, dynamic change of spatial characteristic attributes along with time is considered, time is brought into a space system, and penetration perception of the state of the substation equipment is realized.

Description

technical field [0001] The invention relates to a panoramic model of main and auxiliary equipment of a substation and a modeling method, belonging to the technical field of electric power system automation. Background technique [0002] The current substation equipment monitoring system mainly realizes the monitoring of the status of each equipment in the substation through SCADA. At present, the SCADA model only includes the status attribute of the measuring point and the time attribute of the measuring point. At present, the state monitoring points of each equipment in the SCADA monitoring system are all discrete state measuring points, and there is no description of the spatial structure and spatial position association between the measuring points, and the real-time cross-sectional spatial data processed by the SCADA system state monitoring only retains the real world. In a transient state, when the data changes, the old data is generally replaced with new data to form a...

AI Technical Summary

Problems solved by technology

At present, the state monitoring points of each equipment in the SCADA monitoring system are all discrete state measuring points, and there is no description of the spatial structure and spatial position association between the measuring points, and the real-time cross-sectional spatial data processed by the SCADA system state monitoring only retains the real world. A transient state, when the data changes, the old data is generally replaced with new data to form another transient state, so the dynamic change process of the spatial object cannot be analyzed and processed, and the description of the space-time correlation constraints of the substation equipment is lacking

In addition, the traditional power monitoring system is mainly based on power grid operation monitoring, and the whole network is mainly described by the power topology model. The spatial structure of the measuring points and the associated constraint relationship of the spatial positions cannot accurately track the dynamic changes of the spatial data of each monitoring point, and cannot realize the penetrating perception of the status of the substation equipment. Intelligent advanced applications such as situational awareness, equipment fault diagnosis and active early warning based on spatio-temporal correlation analysis lack a model foundation

Images