Optimization design of voltage regulation ring parameters for 1100 kV DC voltage ratio standard equipment based on FCC neural network

Abstract

Abstract The surface electric field strength directly affects the accuracy of voltage measurement in DC voltage ratio standard devices. The auxiliary device known as the voltage regulation ring effectively reduces the surface electric field strength. Therefore, optimizing the voltage regulation ring’s structural characteristics is crucial for decreasing the electric field strength and enhancing the device’s accuracy. This study initially develops a functional engineering simulation model for the device that standardizes the ratio of DC voltages, employing finite element simulation software. Adjustments are made within a feasible range to compute the electric field strength along the surface of the voltage regulation ring, constructing a dataset. Subsequently, an FCC neural network model is constructed to capture the correlation between different parameters of the voltage regulation ring and the maximum surface electric field strength, yielding a relationship model. Finally, the design of the voltage regulation ring is optimized within a finite range using the constructed FCC neural network model to obtain parameters for minimum field strength. Experimental results indicate that under optimal conditions, the minimum electric field strength is 10051.4883 V/cm, effectively reducing the surface electric field strength of the DCVRS device, and provide a reliable and useful design methodology for equipment selection.