Using optical couplers to monitor the condition of electricity infrastructure
Using optical couplers to monitor the condition of electricity infrastructure
  Increases in renewable and distributed generation will change the operational characteristics of our ageing power networks. To cope with these changes improved monitoring of the performance of network infrastructure is needed. Defects developing in electrical plant give rise to partial discharge (PD) activity. This paper describes an on-line PD monitoring system based on electro-optic modulators. This technique does not require a power supply at the site of the sensors and the optical transmission of signal data is a significant advantage in electrically noisy environments. Laboratory based experiments and field trials are described, which show that this approach is feasible for HV transformers and underground cable. Intelligent filtering techniques have been developed to improve the sensitivity of detection and identify PD signals without assuming any knowledge of their characteristics.
  CD-ROM
  
    
      Swingler, S G
      
        4f13fbb2-7d2e-480a-8687-acea6a4ed735
      
     
  
    
      Hao, L
      
        e6006548-3fc1-4a7e-9df4-a4e9a9a05c45
      
     
  
    
      Lewin, P L
      
        78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
      
     
  
    
      Swaffield, D J
      
        31f6f52e-fb48-44f9-99d3-3cbd2539f1b9
      
     
  
  
   
  
  
    
      13 May 2008
    
    
  
  
    
      Swingler, S G
      
        4f13fbb2-7d2e-480a-8687-acea6a4ed735
      
     
  
    
      Hao, L
      
        e6006548-3fc1-4a7e-9df4-a4e9a9a05c45
      
     
  
    
      Lewin, P L
      
        78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
      
     
  
    
      Swaffield, D J
      
        31f6f52e-fb48-44f9-99d3-3cbd2539f1b9
      
     
  
       
    
 
  
    
      
  
  
  
  
    Swingler, S G, Hao, L, Lewin, P L and Swaffield, D J
  
  
  
  
   
    (2008)
  
  
    
    Using optical couplers to monitor the condition of electricity infrastructure.
  
  
  
  
    
    
    
      
        
   
  
    UKERC Sustainable Energy UK: Meeting the Science and Engineering Challenge, St Anne's College, Oxford, United Kingdom.
   
        
        
        13 - 14  May 2008.
      
    
  
  
  
      
          
          
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      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          Increases in renewable and distributed generation will change the operational characteristics of our ageing power networks. To cope with these changes improved monitoring of the performance of network infrastructure is needed. Defects developing in electrical plant give rise to partial discharge (PD) activity. This paper describes an on-line PD monitoring system based on electro-optic modulators. This technique does not require a power supply at the site of the sensors and the optical transmission of signal data is a significant advantage in electrically noisy environments. Laboratory based experiments and field trials are described, which show that this approach is feasible for HV transformers and underground cable. Intelligent filtering techniques have been developed to improve the sensitivity of detection and identify PD signals without assuming any knowledge of their characteristics.
         
      
      
        
          
            
  
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 Using_optical_couplers_to_monitor_v5.pdf
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      Published date: 13 May 2008
 
    
  
  
    
  
    
     
        Additional Information:
        Event Dates: 13-14 May 2008
      
    
  
    
     
        Venue - Dates:
        UKERC Sustainable Energy UK: Meeting the Science and Engineering Challenge, St Anne's College, Oxford, United Kingdom, 2008-05-13 - 2008-05-14
      
    
  
    
  
    
  
    
  
    
     
        Organisations:
        Electronics & Computer Science, EEE
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 265707
        URI: http://eprints.soton.ac.uk/id/eprint/265707
        
        
        
        
          PURE UUID: 67668fed-5b9f-4db7-88dc-abb06c46c7ad
        
  
    
        
          
            
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
  
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  Date deposited: 09 May 2008 13:27
  Last modified: 15 Mar 2024 02:43
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      Contributors
      
          
          Author:
          
            
              
              
                S G Swingler
              
              
            
            
          
        
      
          
          Author:
          
            
            
              L Hao
            
          
        
      
          
          Author:
          
            
              
              
                P L Lewin
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
            
              D J Swaffield
            
          
        
      
      
      
    
  
   
  
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