Research On Secondary Circuit Detection Technology Of Intelligent Substation

With the continuous expansion of the scale of China’s power grid,the structure of power grid is becoming more and more complex.Therefore,more substation equipments need to be added to each circuit of the substation to ensure the operation,which brings great difficulties to the commissioning and detection of the secondary circuit of the substation.The secondary circuit is not only responsible for the control,measurement and monitoring of the substation,but also the high-voltage disconnector is an important safety protection device of the substation.In recent years,the global economic situation and energy development have changed,China’s economy has also been rapid development,the traditional substation is also increasingly intelligent,which also puts forward higher requirements for detection technology.At present,although the detection and maintenance of the traditional substation secondary circuit is relatively mature,but in the intelligent substation,because the secondary circuit system is more complex and abstract,the maintenance personnel do not fully grasp the application of new equipment and technology,so the maintenance method of the secondary system is not mature,even in the exploration stage.In order to improve the safe operation level of intelligent substation,it is necessary to study the secondary circuit detection technology as soon as possible,and propose a more efficient and unattended detection method.Therefore,this paper puts forward two detection technologies,image infrared detection and virtual loop visualization,and then analyzes the advantages and disadvantages of the two detection schemes through case comparison and analysis.The main work and innovation of this paper are as follows:(1)In this paper,the secondary circuit detection technology of image recognition intelligent substation is studied firstly,and the infrared image feature extraction and recognition process optimization are discussed in detail.Then,the application effect of the detection method is analyzed from the cases of fault detection of high-voltage disconnector,transformer detection and transformer detection.Finally,the advantages and disadvantages of its application are analyzed,and PNN neural network is proposed It is of great significance for the realization of unattended intelligent substation to realize infrared imageclassification of equipment and establish the final infrared detection method and process of key equipment in substation.(2)Secondly,the secondary system of the intelligent substation is analyzed and compared comprehensively.Aiming at the current situation that the optical fiber link path in the secondary circuit of the intelligent substation is difficult to locate and the equipment fault detection is inefficient,a fault detection method of the secondary circuit of the intelligent substation based on the virtual circuit technology is proposed.In this technology,the research is carried out from the process,and the auxiliary judgment is carried out relying on the network message analyzer Combined with the existing technology,the technical scheme and algorithm of on-line monitoring and diagnosis of optical fiber link are proposed.Finally,compared with the infrared detection technology of image recognition,it is better than the virtual loop visualization technology in general,but it is slightly worse than the virtual loop visualization technology in multi-target fault detection.Therefore,the two technologies have advantages in single target and multi-target fault detection,But in a word,the two technologies have a good effect on the secondary circuit detection of intelligent substation.