Utkarsha Agwan

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2020-216

December 18, 2020

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-216.pdf

Prosumers will play an increasingly important role in the modern smart grid through their ability to modulate net consumption as well as provide excess generation back to the grid. Aggregations are a profitable model for prosumers to trade surplus energy generation and fully utilize energy resources, as well as encourage additional investment in local generation and storage resources. We present theoretical results to quantize aggregation profitability, and devise a numerical test for an optimal aggregation. We then validate these results through an agent based modeling framework built to model self-interested independent agents, using real building loads and solar generation data.

Advisors: Costas J. Spanos

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BibTeX citation:

@mastersthesis{Agwan:EECS-2020-216,
    Author= {Agwan, Utkarsha},
    Title= {Optimal Prosumer Aggregations: Design and Modeling},
    School= {EECS Department, University of California, Berkeley},
    Year= {2020},
    Month= {Dec},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-216.html},
    Number= {UCB/EECS-2020-216},
    Abstract= {Prosumers will play an increasingly important role in the modern smart grid through their ability to modulate net consumption as well as provide excess generation back to the grid. Aggregations are a profitable model for prosumers to trade surplus energy generation and fully utilize energy resources, as well as encourage additional investment in local generation and storage resources. We present theoretical results to quantize aggregation profitability, and devise a numerical test for an optimal aggregation. We then validate these results through an agent based modeling framework built to model self-interested independent agents, using real building loads and solar generation data.},
}

EndNote citation:

%0 Thesis
%A Agwan, Utkarsha 
%T Optimal Prosumer Aggregations: Design and Modeling
%I EECS Department, University of California, Berkeley
%D 2020
%8 December 18
%@ UCB/EECS-2020-216
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-216.html
%F Agwan:EECS-2020-216