Hierarchical Multiobjective Optimization for Independent System Operators (ISOs) in Electricity Markets

2006 ◽  
Vol 21 (4) ◽  
pp. 1583-1591 ◽  
Author(s):  
H. Louie ◽  
K. Strunz
2006 ◽  
pp. 479-528 ◽  
Author(s):  
Richard O'Neill ◽  
Udi Helman ◽  
Benjamin F. Hobbs ◽  
Ross Baldick

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 570
Author(s):  
Peter Schwarz ◽  
Saeed Mohajeryami ◽  
Valentina Cecchi

Peak-time rebates offer an opportunity to introduce demand response in electricity markets. To implement peak-time rebates, utilities must accurately determine the consumption level if the program were not in effect. Reliable calculations of customer baseline load elude utilities and independent system operators, due to factors that include heterogeneous demands and random variations. Prevailing research is limited for residential markets, which are growing rapidly with the presence of load aggregators and the availability of smart grid systems. Our research pioneers a novel method that clusters customers according to the size and predictability of their demands, substantially improving existing customer baseline calculations and other clustering methods.


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