Deep Neural Networks-based Assessment of Voltage Sag Risks
Voltage sag assessments focus on integrating power supply information on the grid side and the sensitive equip-ment information on the user side to obtain nodes'voltage sag risk value,to help suppliers and users intuitively discern voltage sag risks,and to provide a theoretical basis for users'selection of the access point and coping with voltage sags.This essay outlines the main underlying principles of the influences of voltage sags to electric users by seeking potential re-lationship between actual influencing factors and users'voltage sag risk via deep neural network model.The method of the use of comprehensive voltage sag indexes in assessing voltage sag risks was then proposed,whose feasibility was verified through actual case calculation.
voltage sagrisk assessmentdeep neural networkdata-driven
NETL
NSTL
万方数据
