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 . 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 . 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....
|Qualification||Doctor of Philosophy|
|Award date||13 Mar 2023|
|Publication status||Published - 2023|