Analysis and Research on Health Monitoring Technology for Multi-source Information Fusion of Power Equipment
There are various monitoring methods for power equipment,but the perception source of health informa-tion for power equipment is single,resulting in low accuracy of health assessment for power equipment,and its practical-ity needs to be strengthened.In addition,the existing online monitoring systems cannot integrate the health status of pow-er equipment,energy metering,user data transmission and analysis,and cannot achieve real-time monitoring and com-prehensive energy consumption statistical analysis of multiple power equipment power systems in the regional power grid,thus failing to achieve the optimal energy balance between power equipment and users and low-carbon operation of power equipment.To this end,a multi-source information fusion method based on D-S reasoning is proposed,which generates a probability distribution function from the information collected by transformer sensors,weakens the evaluation results of power equipment partial discharge conflicts,and improves its evaluation accuracy.A power equipment energy manage-ment system that integrates the health status,energy consumption comprehensive statistical analysis,and high energy consumption load equipment characteristics of power equipment is built.The practical results indicate that the multi-source information fusion method can improve the accuracy and speed of power operation and maintenance.The applica-tion of the power equipment energy management system has achieved the optimal energy balance between power equip-ment and users,and has achieved good results in low-carbon operation and energy conservation and carbon reduction of power equipment.
power equipmentmulti-source information fusionhealth status monitoringenergy management
NETL
NSTL
万方数据
维普
