Research On Accuracy And Error Analysis Of 12kV Electronic Transformer

With the development of smart grids and the continuous improvement of their voltage levels,traditional electromagnetic transformers have been unable to meet the development of smart grids due to defects such as large size and poor insulation characteristics.The electronic transformer has more advantages than the traditional electromagnetic transformer in signal reliability,accuracy,insulation structure and cost,and can meet the future development needs of the smart grid.As an important measuring device in the smart grid,the transformer has an important influence on the accuracy and stability of the grid operation.Therefore,the research on the accuracy characteristics of electronic transformers has become an inevitable trend.First of all,based on the introduction of the working principle of electronic transformers,the theoretical analysis of the influencing factors that cause various types of electronic transformer errors.An electronic transformer acquisition system was set up,and the acquisition system was used to measure the real-time current/voltage value of the transformer during the test and to process the collected data.Secondly,the electronic transformer is tested,and the results of the test are analyzed.The comparison method is used for the error test of electronic transformers.Taking the type HCJ20-10 capacitive electronic voltage transformer as the research object,the accuracy test was carried out,and the transformer met the accuracy requirement of class 0.5 transformer.The influence of ambient temperature on the LPCT coil electronic current transformer is analyzed,and the accuracy test and temperature test are carried out on the transformer.The transformer meets the accuracy requirements of 0.5-level electronic current transformer.Then,taking a company's ART-B22 series Rogowski coil electronic current transformer as the research object,and carry out an accuracy test on it.The transformer meets the accuracy requirement of 0.5.The environmental temperature affects the wire,coil frame and integrator of the Rogowski coil electronic current transformer in detail.Through the temperature cycle test,the ratio difference and angular difference of the Rogowski coil current transformer at different temperatures are calculated.The ratio difference becomes larger as the temperature increases or decreases,and the angle difference meets the accuracy requirements of 0.5-level transformer.Finally,the transformer is compensated by the BP neural network algorithm.The BP neural network model based on Rogowski coil electronic current transformer is established,and the model is trained by LM algorithm,so as to obtain the best training model,and complete the compensation of Rogowski coil electronic current transformer.The results show that the compensated transformers meet the accuracy requirements of 0.5-level transformers.The ratio difference is less than ?0.5% and the angle difference is less than ?20 ' within the temperature range of-40 ~ + 70 ?.The effectiveness of BP neural network algorithm compensation is verified.