Coalitional games in energy and analytics markets

A.A. Raja

Research output: ThesisDissertation (TU Delft)

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Abstract

The main themes of this thesis are the design and analysis of payoff distribution methods for situations where agents collaborate to generate a utility. For modeling such scenarios, we majorly focus on the coalitional game theoretic framework that provides mathematical formalism to study the behavior of rational agents when they cooperate for selfish interests [69]. We utilize the tools from coalitional game theory to develop mechanisms for demand-side energy management, namely, energy coalitions, peer-to-peer energy trading (P2P), and real-time local electricity markets, that can help accelerate the energy transition [106]. For the solution of resulting games, we design distributed algorithms that converge to a payoff distribution characterized by stability and fairness. The primary approach to convergence analysis of proposed algorithms relies on the operator theory and fixed-point iterations. Finally, we also propose payoff distribution criteria for a wagering-based forecasting market that can help energy generation sources to improve their forecast....
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Grammatico, S., Supervisor
  • De Schutter, B.H.K., Supervisor
Award date13 Mar 2023
DOIs
Publication statusPublished - 2023

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