Online mechanism design for vehicle-to-grid car parks
Online mechanism design for vehicle-to-grid car parks
  Vehicle-to-grid (V2G) is a promising approach whereby electric vehicles (EVs) are used to store excess electricity supply (e.g., from renewable sources), which is sold back to the grid in times of scarcity. In this paper we consider the setting of a smart car park, where EVs come and go, and can be used for V2G while parked. We develop novel allocation and payment mechanisms which truthfully elicit the EV owners' preferences and constraints, including arrival, departure, required charge, as well as the costs of discharging due to loss of efficiency of the battery. The car park will schedule the charging and discharging of each EV, ensuring the constraints of the EVs are met, and taking into consideration predictions about future electricity prices. Optimally solving the global problem is intractable, and we present three novel heuristic online scheduling algorithms. We show that, under certain conditions, two of these satisfy monotonicity and are therefore truthful. We furthermore evaluate the algorithms using simulations, and we show that some of our algorithms benefit significantly from V2G, achieving positive benefit for the car park even when agents do not pay for using it.
  286-293
  
    Association for Computing Machinery
   
  
    
      Gerding, Enrico
      
        d9e92ee5-1a8c-4467-a689-8363e7743362
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Ceppi, Sofia
      
        d6dd2f1c-c7a4-4ec1-b3d7-82b433ca5bf8
      
     
  
    
      Robu, Valentin
      
        36b30550-208e-48d4-8f0e-8ff6976cf566
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      9 July 2016
    
    
  
  
    
      Gerding, Enrico
      
        d9e92ee5-1a8c-4467-a689-8363e7743362
      
     
  
    
      Stein, Sebastian
      
        cb2325e7-5e63-475e-8a69-9db2dfbdb00b
      
     
  
    
      Ceppi, Sofia
      
        d6dd2f1c-c7a4-4ec1-b3d7-82b433ca5bf8
      
     
  
    
      Robu, Valentin
      
        36b30550-208e-48d4-8f0e-8ff6976cf566
      
     
  
       
    
 
  
    
      
  
  
  
  
    Gerding, Enrico, Stein, Sebastian, Ceppi, Sofia and Robu, Valentin
  
  
  
  
   
    (2016)
  
  
    
    Online mechanism design for vehicle-to-grid car parks.
  
  
  
  
   In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16). 
  
      Association for Computing Machinery. 
          
          
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      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          Vehicle-to-grid (V2G) is a promising approach whereby electric vehicles (EVs) are used to store excess electricity supply (e.g., from renewable sources), which is sold back to the grid in times of scarcity. In this paper we consider the setting of a smart car park, where EVs come and go, and can be used for V2G while parked. We develop novel allocation and payment mechanisms which truthfully elicit the EV owners' preferences and constraints, including arrival, departure, required charge, as well as the costs of discharging due to loss of efficiency of the battery. The car park will schedule the charging and discharging of each EV, ensuring the constraints of the EVs are met, and taking into consideration predictions about future electricity prices. Optimally solving the global problem is intractable, and we present three novel heuristic online scheduling algorithms. We show that, under certain conditions, two of these satisfy monotonicity and are therefore truthful. We furthermore evaluate the algorithms using simulations, and we show that some of our algorithms benefit significantly from V2G, achieving positive benefit for the car park even when agents do not pay for using it.
         
      
      
        
          
            
  
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      Accepted/In Press date: 5 April 2016
 
    
      e-pub ahead of print date: 9 July 2016
 
    
      Published date: 9 July 2016
 
    
  
  
    
  
    
  
    
     
        Venue - Dates:
        International Joint Conference on Artificial Intelligence (IJCAI-16), New York, New York, United States, 2016-07-09 - 2016-07-15
      
    
  
    
  
    
     
    
  
    
  
    
     
        Organisations:
        Agents, Interactions & Complexity
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 393722
        URI: http://eprints.soton.ac.uk/id/eprint/393722
        
        
        
        
          PURE UUID: 702f8bff-e0c6-4bdb-ab69-7cfc3f692546
        
  
    
        
          
            
              
            
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
        
    
  
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  Date deposited: 02 May 2016 04:13
  Last modified: 16 Mar 2024 03:57
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      Contributors
      
          
          Author:
          
            
              
              
                Enrico Gerding
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
              
              
                Sebastian Stein
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
            
              Sofia Ceppi
            
          
        
      
          
          Author:
          
            
            
              Valentin Robu
            
          
        
      
      
      
    
  
   
  
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