In response to the demand for voltage sag mitigation devices in the film industry, a super capacitor energy storage DC support device has been developed. The working principle of the super capacitor energy storage DC support device is introduced, and the design of the main circuit and control system is described in detail. The test waveform is also provided. Through test data and field application results, the problem of equipment downtime caused by sag in film enterprises has been well solved, meeting the requirements of continuous production in the film industry.
Aiming at the problem of how to predict the remaining life of railway relay accurately and efficiently,a life prediction method of railway relay based on TPE-Informer model is proposed.Firstly,the electric life test platform of railway relay is built to obtain the degradation data of its whole life cycle,and the characteristic parameters that can reflect its operation state are extracted from it.Secondly,the extracted feature parameters are input into the Informer model for training,and the multi head sparse self-attention mechanism is used to mine the correlation between the states before and after the feature information.Finally,the tree-structured parzen estimator(TPE)is used to optimize the hyper parameters of Informer model to obtain better prediction performance.The experimental platform is used to collect data to verify the model,and the results are compared with the other three deep learning algorithms.The experimental results show that the proposed prediction model has higher prediction accuracy than RNN,LSTM and Informer models,with an average accuracy of 96.52%,small error rate and good stability,which proves the feasibility of the application of the prediction model.
The axially-split phase spherical bearingless flywheel machine (ASP-SBFM) operates mostly in fast charging and discharging conditions. The unique topology design and high power density of the ASP-SBFM can lead to complex machine losses and result in high-temperature rise. This article employs magneto-thermal coupling to perform an accurate analysis of the temperature field distribution of the ASP-SBFM. First, as the heat source for machine temperature rise, the ASP-SBFM losses are analyzed in detail. And the theoretical calculation results agree well with the FEA results. Then, the magneto-thermal coupling method is conducted to obtain the accurate temperature distribution of ASP-SBFM, where both natural cooling and high vacuum conditions are considered. The temperature distribution results can provide a reference for machine heat dissipation design, topology optimization, and machine body material selection.
With the comprehensive promotion of the"dual carbon"goal,the demand for new energy is increasing day by day.It is urgent to promote the coupling and interconnection of railways,new energy,and energy storage,and promote railways'low-carbon and green development.Therefore,a low-carbon economic optimization operation model of high-speed rail new energy hybrid energy storage system is proposed.Firstly,in order to further mobilize the enthusiasm of the railway industry for carbon reduction,the carbon benefits is incorporated into the operating model of the high-speed rail system,and a mathematical model of the hybrid energy storage system composed of vanadium batteries and supercapacitors is established.Then,the Latin hypercube random chance constrained programming method is used to deal with the uncertainty of new energy,an energy management strategy of hybrid energy storage system is proposed,the stop charging and discharging threshold of vanadium battery and the configuration parameters of energy storage capacity are taken as the optimization variables,and the maximum total net benefit of new energy hybrid energy storage system for the high-speed rail system in the whole life cycle is taken as the optimization objective,the adaptive particle swarm optimization algorithm based on Cauchy mutation is used to solve the practical example.Finally,the effectiveness and superiority of the proposed scheme and algorithm are verified through comparison and analysis.
Transmission lines'live working is one of the effective means to ensure the reliable operation of the lines.In order to solve the unsafe problems existing in the implementation of traditional live working.Grounded LIDAR is used to collect point cloud data,and a tile based on the pyramid data structure is employed to complete the storage and calling of the data.The improved bidirectional filtering algorithm is used to quickly distinguish surface features and obtain a 3D model of the site.Considering the characteristics of live working,data reading and query speed,the nearest point search algorithm based on octree is used to calculate the safety distance of each point in the planned path in real time,and the safety of the operation mode is obtained by comparing with the value specified in the regulation,and assist decision-making of the implementation plan.The actual working condition simulation is carried out by taking"the hanging basket swing method"as an example.The experimental results show that the established 3D model can meet the whole process control of the operation,and has achieved practical effect.
