A Strategy of DNBR On-Line Monitoring and Protection in PWR

Author(s):  
Yu Liu ◽  
Chunming Ren

Based on the measured parameters, including core power distribution, system pressure, inlet coolant temperature and flow, departure from nucleate boiling ratio (DNBR) can be calculated on-line. This paper presents a strategy to develop the DNBR online monitoring and protection system for PWR nuclear power plant (NPP). The main functions are to provide core DNBR status to operator and to replace the delta-T protection in conventional PWR NPPs. The system structure consists of two different levels respectively for monitoring and protection. There are four cabinets in each level to insure the reliability. DNBR on-line algorithm is on the basis of a modified single channel thermal-hydraulic model. A computer program was developed and verified through comparison with the sub-channel code.

Author(s):  
Yasuo Fujii ◽  
Akihiro Miura ◽  
Akihiro Miura ◽  
Junichiro Tsukamoto ◽  
Michel G. Youssef ◽  
...  

Author(s):  
P. Surya Prasad ◽  
B. Prabhakara Rao

The necessity to have reliable and quality power distribution is increasing, and hence there is great scope for research on automation of distribution system. There are signs of increased research in the work on condition monitoring of insulators during the last few decades. The possible failures can be predicted before they actually occur by using the condition monitoring of cables or any electrical equipment on-line. Those assets such as towers, conductors and insulators which are on the threshold of failure have to be replaced or repaired, so that forced outages reduce. Traditionally the workers who inspect these lines check them in close proximity by going for foot-patrolling and pole-climbing. With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable. In developed countries aerial patrolling has been adopted to monitor the insulators as an alternative. The development of an efficient method of condition monitoring by using image processing followed by machine learning techniques is found to be a suitable method and thus emerging as a feasible option for real-time implementation. This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.


Author(s):  
V. Mohanbabu ◽  
◽  
Sk. Moulali ◽  
Ju Chan Na ◽  
Peng Cheng ◽  
...  

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