Power Supply Fault Research Articles

New energy transmission line fault location method based on Pearson correlation coefficient

The access of new energy power source makes the traditional transmission line structure become complex, and due to the influence of power electronic device control strategy, the fault characteristics have been fundamentally changed, resulting in the traditional transmission line fault localization method can not be applied to the new energy sending line. To address the above problems, this paper analyzes the transient current characteristics of different power supply faults, and learns that there are obvious differences in the transient currents on both sides of the fault point inside and outside the transmission line area, and then proposes a new energy transmission line fault localization method based on the Pearson correlation coefficient, which determines the fault location by calculating the correlation coefficients of the fault waveforms of the neighboring monitoring points. Finally, comparative experiments are carried out under different fault types and fault locations to further verify the applicability of the proposed method.

Research on the fault diagnosis method of AC power supply in substations based on a synchronous digital sampling technology

In order to improve the accuracy and efficiency of AC power supply fault diagnosis in substations, a fault diagnosis method of AC power supply in substations based on synchronous digital sampling technology is proposed and designed in this study. Based on the IEC 61850-9-2 communication protocol, the same sampling of the status data of the substation AC power supply is realized first. Then, in order to improve the fault diagnosis effect, the data is pre-processed such as de-noising and de-redundancy. Finally, the substation AC power supply fault diagnosis is carried out based on Dempster/Shafer (D-S). The experimental results show that for different types of faults, the diagnosis accuracy of the proposed method is higher than 95.5%, and the diagnosis time is less than 1.31 ms.

Demonstration of ITER Real-Time Framework with application of PF coil control in KSTAR

ITER Real-Time Framework (RTF) is a middleware for developing fast real-time control applications such as plasma control system (PCS). In this framework, applications are built by creating and assembling Function Blocks (FBs) as atomic components of the application. The RTF can easily configure the application to be operated with multi-thread, multi-process, or multi-node processing under real-time mode. In this paper, we demonstrated capability of the RTF on the Poloidal Field (PF) coil Magnetic Power Supply (MPS) system of KSTAR. First, we fully implemented the KSTAR PF coil control logic from the KSTAR PCS into an independent RTF application. By configuring the real-time mode and multi-thread processing, 11 PF coils can be simultaneously controlled with a 20 KHz execution cycle. Second, we applied a built-in exception handler in the RTF to implementing protection from specified off-normal events such as PF Power Supply Fault (PSF) and PF OverCurrent Fault (OCF). Third, we integrated the standard real-time network interfaces of the KSTAR, the Reflective Memory (RFM) network, with the RTF application. Finally, we made a shot automation interface in order to run the RTF application according to the KSTAR shot sequence stages. This interface also has a snapshot functionality to store and load all experimental parameters for each shot number. We evaluated the effectiveness of the RTF application through a single PF MPS test connected with a 40 mH dummy load coil.

Fault logic circuit design of switching power supply based on soft reference circuit module

The basic idea of the circuit fault diagnosis method based on fault logic is to establish a computer expert database system first, connect the computer to the GPIB interface card, and then connect each intelligent instrument through the GPIB standard bus. Through the connection of the tested object adapter and the tested object, a circuit fault expert diagnosis and test platform are formed. Based on the traditional fault simulation model, this paper improves the fault logic circuit of switching power supply, designs the system model of fault simulation, deals with the logic structure and circuit hierarchy respectively, and produces the final output through the logic gate circuit by comparing the results of the fault logic circuit and the fault-free logic circuit. The designed switching power supply fault logic circuit works in the switching state, which has the characteristics of low loss and high energy conversion efficiency. Through the simulation analysis, the output is connected to the comparator, which plays the role of the whole wave. The simulation results are in line with the parameter indicators. The functional test results of the chip show that the function of the module is basically normal, which has practical application value and good portability and can be used as a reference for similar electrical designs.

Selection of fault selection jump identification algorithms for high-speed railway traction networks

High-speed railways have become a new business card for China. When power supply faults occur in the electrical traction network of high-speed railways, the practice of sacrificing selectivity to ensure the reliability of the relay protection system often occurs, and a more effective relay protection scheme must be adopted if the reliability and selectivity of the protection system are to be taken into account. Fast and accurate identification of fault types and their removal from the traction network is of great significance for the stable operation of railway power supply systems. Therefore, it is particularly important to identify and locate fault solutions. This paper analyses the commonly used fault identification and location algorithms, determines the fault signal processing principles for fully parallel AT lines, determines which algorithms are used to identify and locate faults, and helps to improve the fault detection efficiency of railway power lines.

Study on Fault Diagnosis Method and Application of Automobile Power Supply Based on Fault Tree-Bayesian Network

Among various fault types of automotive power faults, power supply UB + faults have the most complex relationship between fault signs and fault points and are difficult to diagnose. So this paper proposes a Bayesian network fault diagnosis model of automobile power supply based on fault tree. Firstly, based on the in-depth analysis of the principle of automobile power supply fault, the UB + fault tree model is constructed. The fuzzy Bayesian network model of UB + fault is constructed through the mapping relationship between fault tree and Bayesian network. Then, the prior probability of UB + fault points are obtained according to the five-year fault dataset of FAW Volkswagen Reck system, and the relevant conditional probabilities are determined by fuzzy set theory due to the lack of data and the uncertainty in expert scoring. Finally, the relevant fault point probability values are determined according to the Bayesian network inference algorithm in the case of single or parallel UB + fault sign occurring, and the fault diagnosis sequence is guided, further improving fault diagnosis efficiency.

Research on the High Reliable Electromagnetic Stirring Power Supply

A reconstructed topology with fault diagnosis and fault-tolerant control strategy of the two-phase quadrature power supply of an electromagnetic stirring system are proposed to improve the reliability of the system. First, if the back stage inverter is faulty, the topology will be reconstructed after the diagnosed fault. The reconstructed topology with the fault diagnosis can be applied twice. Additionally, a fault pulse reset method is proposed to form a fault-tolerant control strategy, for which the high-reliability electromagnetic stirring power supply does not need to switch the control algorithm before and after the failure. The reliability of the electromagnetic stirring power supply is improved greatly. Finally, simulations and experiments verify the correctness of the electromagnetic stirring power supply fault diagnosis algorithm, reconstruction topology, and its fault-tolerant control strategy proposed in this paper.

The Idea of Using Big Data to Analyze the Catenary Power Supply Fault

The Idea of Using Big Data to Analyze the Catenary Power Supply Fault

Satellite Dynamic Fault Analysis Method Based on AltaRica Logic Modeling

Modern spacecraft has developed into a complex system integrated multi-task, multi-specialty and multi-information. The cross-linking and coupling between different systems have exposed more and more logic sequence fault caused by non-software and hardware failures. It is difficult to comprehensively and accurately analyze the logical sequence faults of complex systems by using traditional fault tree analysis (FTA), failure mode and effect analysis (FMEA) and other manual methods. Furthermore, the reliability and safety of the spacecraft cannot be effectively guaranteed. In this paper, the dynamic fault analysis of the spacecraft was carried out based on the method of AltaRica logic modeling. The satellite power supply and distribution (PSD) subsystem was taken as an example. A dynamic model of charge and discharge between the solar array, the storage battery and the bus was established. Logical events and sequences of the bus power supply fault was calculated. The results show that this method can effectively complete the dynamic modeling and fault analysis of the spacecraft system, and it has higher analysis capability and efficiency than traditional methods.

Wireless sensor network monitoring algorithm for partial discharge in smart grid

With the continuous improvement of power grid intelligent requirements, the Power Internet of Things develops rapidly. Substation is an important part of the power grid. The real-time monitoring of its equipment is conducive to the timely detection and removal of power supply faults. In this paper, a monitoring network is built for partial discharge (PD) of high voltage (HV) equipment. According to the three-dimensional characteristics of the equipment, the deployment strategy of ultrasonic sensors for PD monitoring is discussed. A virtual force algorithm based on adaptive angle adjustment is proposed. It is proved that the application of that algorithm can cover more than 94% of target in the range of controllable convergence. According to the target triggering characteristics of PD, the networking method of wireless sensor network is discussed. A sensor cooperation scheme based on the standing guard protocol is proposed, which verifies its energy saving and time delay shortening effect on the basis of ensuring the target acquisition rate. This paper describes the application of dynamic alliance routing protocol in PD information transmission, designs the process and steps of the protocol. Its performance is better than LEACH and Opportunity Routing protocol.

Development of a research platform for BEPC II accelerator fault diagnosis

BackgroundBEPC II is an electron–positron collider with a beam energy of 1.89 GeV and luminosity of 1 × 1033 cm−2 s−1. Being a complex accelerator, fault diagnostics both in an accurate manner and in time are often challenging during its operation.PurposeThe fault diagnosis research platform is capable of locating and resolving faults on time, thus can largely improve the operation of BEPCII by reducing downtime due to machine fault and consequently satisfying the demand for fault diagnosis of a complex system.MethodsMaking full use of the existing large-scale hardware foundation, abundant data resources and previous experiences, a fault diagnosis research platform was built by applying data mining, machine learning and other related algorithms to carry out specific fault analysis on the entire system.ConclusionThe fault diagnosis research platform has been developed with implemented functions of data query, statistics and analysis. Partial fault diagnoses of the three subsystems have been realized. The 4W1 power supply fault has been successfully discovered, and effective solutions have been subsequently provided.

DIII-D power supply fault system

The DIII-D Tokamak magnetic confinement fusion device has been equipped with a power-supply fault system that provides orderly shutdown in case of any of a number of faults. The nature of the fault dictates the extent of the shutdown required. CAMAC hardware accumulates data and triggers computer acquisition of diagnostic information. The system speeds diagnosis and repair of problems. A description is given of the DIII-D power systems; the field-shaping power and control; the hardware fault logic; the CAMAC power-supply data acquisition; the DIII-D data acquisition computer system; the data acquisition database and tables; the handling of power-supply data; and the power-supply fault system operation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>