Title : 
Strategic Bidding for a Large Consumer
         
        
            Author : 
Kazempour, S. Jalal ; Conejo, Antonio J. ; Ruiz, Carlos
         
        
            Author_Institution : 
Johns Hopkins Univ., Baltimore, MD, USA
         
        
        
        
        
        
        
        
            Abstract : 
The smart grid technology enables an increasing level of responsiveness on the demand side, facilitating demand serving entities-large consumers and retailers-to procure their electricity needs under the best conditions. Such entities generally exhibit a proactive role in the pool, seeking to procure their energy needs at minimum cost. Within this framework, we propose a mathematical model to help large consumers to derive bidding strategies to alter pool prices to their own benefit. Representing the uncertainty involved, we develop a stochastic complementarity model to derive bidding curves, and show the advantages of such bidding scheme with respect to non-strategic ones.
         
        
            Keywords : 
demand side management; power markets; pricing; bidding curves; demand serving entities; demand side responsiveness; electricity needs; energy needs; mathematical model; pool prices; proactive role; smart grid technology; stochastic complementarity model; strategic bidding; Electricity; Electricity supply industry; Indexes; Mathematical model; Production; Stochastic processes; Uncertainty; Large consumer; mathematical program with equilibrium constraints (MPEC); strategic bidding; uncertainty;
         
        
        
            Journal_Title : 
Power Systems, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TPWRS.2014.2332540