Reliability Assessment of EAST Poloidal Field Power Supply System with Piecewise Failure Rate

2020 ◽  
Author(s):  
Yuting Hua ◽  
Liansheng Huang ◽  
Xiaojiao Chen ◽  
Shiying He ◽  
Xiuqing Zhang ◽  
...  
Keyword(s):  
Failure Rate ◽  
Power Supply ◽  
Power Supply System ◽  
Reliability Assessment ◽  
Supply System ◽  
Poloidal Field

The Power Supply System for the J-TEXT Poloidal Field

2009 ◽  
Vol 11 (1) ◽  
pp. 100-103 ◽  
Author(s):  
Zhang Ming ◽  
Zhuang Ge ◽  
Yu Kexun ◽  
Qiu Shengshun ◽  
Pan Yuan
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
Poloidal Field

scholarly journals A plasma initiator using a multi-winding transformer for large tokamak devices and the application to the poloidal field coil power supply system.

1994 ◽  
Vol 114 (7/8) ◽  
pp. 761-768
Author(s):  
Makoto Matsukawa ◽  
Hiromasa Ninomiya ◽  
Hiroshi Horiike ◽  
Yoshinao Ohkawa ◽  
Mitsuru Hasegawa
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
Poloidal Field ◽  
Field Coil ◽  
Coil Power Supply

scholarly journals Improved reliability assessment of backup battery storage integrated with power supply system in a building

2019 ◽  
Vol 10 (3) ◽  
pp. 1538
Author(s):  
Muhammad Murtadha Othman ◽  
Muhamad Amirul Naim Mohd Jamaluddin ◽  
Faisal Fauzi ◽  
Ismail Musirin ◽  
Mohammad Lutfi Othman
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Supply ◽  
Power Supply System ◽  
Reliability Assessment ◽  
Supply System ◽  
Chain Process ◽  
Battery Storage ◽  
Storage Batteries ◽  
Markov Method

This paper presents the improved analysis of reliability for battery storage used in power system. The reliability assessment of this paper includes the evaluation of reliability of the system components, battery module and power electronic components. Battery storage is considered as one of energy storage and energy source that commonly used in power system. The evaluation of the reliability of power systems utilising with the storage batteries is performed by using the Markov chain process. The computation of the reliability is conducted by referring to the generated reliability block begins from power supply system. Every part of the system is evaluated regarding two specific states that are in normal or failure mode. By using the Markov method, the system unavailability and failure frequency can be computed.<span style="font-size: 9pt; font-family: 'Times New Roman', serif;" lang="EN-GB">This paper presents the improved analysis of reliability for battery storage used in power system. The reliability assessment of this paper includes the evaluation of reliability of the system components, battery module and power electronic components. Battery storage is considered as one of energy storage and energy source that commonly used in power system. The evaluation of the reliability of power systems utilising with the storage batteries is performed by using the Markov chain process. The computation of the reliability is conducted by referring to the generated reliability block begins from power supply system. Every part of the system is evaluated regarding two specific states that are in normal or failure mode. By using the Markov method, the system unavailability and failure frequency can be computed.</span>

scholarly journals Methods for calculating the reliability of power supply systems

2021 ◽  
Vol 25 (1) ◽  
pp. 57-65
Author(s):  
A. S. Lukovenko ◽  
I. V. Zenkov
Keyword(s):  
Neural Network ◽  
Failure Rate ◽  
Power Supply ◽  
Software Package ◽  
Power Supply System ◽  
Supply System ◽  
Reliability Indicators ◽  
Artificial Neural ◽  
Supply Systems ◽  
Technical Reliability

The aim was to determine the reliability indicators of a power supply system using an artificial neural network model. A model for calculating technical reliability was developed using the following methods: an algorithm for calculating reliability indicators of power supply systems, the method of failure rate of a power supply system and a forecasting model using artificial neural networks. It was established that a power supply system is formed by an open radial power supply circuit. The failure rate of the power supply subsystem was determined by calculating the failure rate of i-th element of the subsystem. As a result of calculating the probability of failure-free operation of the subsystem for various conditions (5 time intervals), it was found that with an increase in the operating time from 100 to 500 h, a linear increase in the rate of system failures occurs from 0.0051 to 0.0073 1/h. A comparison of the obtained mean-to-failure values of the main and the same backup subsystem in the unloaded mode with an absolutely reliable switch (269.62 h) with the main and the same backup subsystem in the loaded mode (202.21 h) was carried out. The results differ by 67.41 h, which indicates a higher degree of reliability of the first method. The software package Prognoz_INS_2020 was developed. An acceptable accuracy of no more than 2.17% was obtained by comparing the results of the conventional calculation of the failure rate of power supply systems and using the Prognoz_INS_2020 software package. This indicates the efficiency of the proposed software package in reliability calculations at operating energy enterprises. The proposed methods for assessing technical reliability both using the conventional model and a model based on an artificial neural network made it possible to assess the state of power supply systems, which helps to prevent dangerous emergencies. 

COMPASS POLOIDAL FIELD POWER SUPPLY SYSTEM

1986 ◽  
pp. 847-852
Author(s):  
D Bold ◽  
D C Edwards ◽  
J W Gray ◽  
J H Hay ◽  
S E V Warder
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
Poloidal Field

Development of the algorithm for the selection of a wind generator-based autonomous power supply system

2019 ◽  
Vol 2 (1) ◽  
pp. 8-16 ◽  
Author(s):  
P. A. Khlyupin ◽  
G. N. Ispulaeva
Keyword(s):  
Wind Turbines ◽  
Power Supply ◽  
Alternative Energy ◽  
Power Supply System ◽  
Supply System ◽  
Power Generators ◽  
Energy Devices ◽  
Wind Generator ◽  
Alternative Energy Sources ◽  
Selection Of

Introduction: The co-authors provide an overview of the main types of wind turbines and power generators installed into wind energy devices, as well as advanced technological solutions. The co-authors have identified the principal strengths and weaknesses of existing wind power generators, if applied as alternative energy sources. The co-authors have proven the need to develop an algorithm for the selection of a wind generator-based autonomous power supply system in the course of designing windmill farms in Russia. Methods: The co-authors have analyzed several types of wind turbines and power generators. Results and discussions: The algorithm for the selection of a wind generator-based autonomous power supply system is presented as a first approximation. Conclusion: The emerging algorithm enables designers to develop an effective wind generator-based autonomous power supply system.

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