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Peer-to-peer trading in future energy hub networks: A game-theoretic approach
The goal of this project is to design and evaluate different game theoretic models for the peer to peer coordination in an energy hub network.
Keywords: Game theory, Optimization, Large-scale systems, Energy hub, multi-energy systems, networked system, distributed control, peer to peer trading
Energy hubs are multi-carrier energy systems that incorporate conversion, storage and network technologies of different energy carriers such as electrical, thermal and/or chemical processes that follow individual demand and supply patterns under distinct time scales. Energy hubs facilitate easier integration of intermittent renewable energy sources, greater flexibility and higher efficiency of the system. Multiple energy hubs in an interconnected network with energy trading between them further amplifies the systemic and economic benefits of individual energy hub by sharing information on their capabilities, intended production and consumption, such that they can be matched locally.
As the technological landscape becomes more decentralized, more stakeholders are involved in the energetic supply chain and stakeholders may be unwilling to share their private information with other entities. We aim to use a game theoretic approach within the control scheme for coordinating the decisions of stakeholders considering their autonomy and self interest in order to quantify of costs and provide a fair compensation to all the agents in the system. Game theory offers an ideal framework for studying the mutual interactions among players. The game between multiple agents in the integrated energy system can be modelled as a cooperative game, non-cooperative game, Stackelberg game, etc.
The goal of this project is to design and evaluate different game-theoretic models for the peer-to-peer coordination in an energy hub network. Game theory comprises of two branches: cooperative game theory (CGT) and non-cooperative game theory (NCGT). Cooperative game theory is a game between coalitions of players rather than between individuals, and it questions how groups form and how they allocate the payoff among players whereas non-cooperative game theory deals with how rational economic agents deal with each other to achieve their own goals. In this project, suitable cooperative and non cooperative game strategies will be identified, implemented and tested in simulation with different energy hub network configurations to identify potential advantages/disadvantages of each strategy as well as which game approach is most suitable for different scenarios.
Energy hubs are multi-carrier energy systems that incorporate conversion, storage and network technologies of different energy carriers such as electrical, thermal and/or chemical processes that follow individual demand and supply patterns under distinct time scales. Energy hubs facilitate easier integration of intermittent renewable energy sources, greater flexibility and higher efficiency of the system. Multiple energy hubs in an interconnected network with energy trading between them further amplifies the systemic and economic benefits of individual energy hub by sharing information on their capabilities, intended production and consumption, such that they can be matched locally.
As the technological landscape becomes more decentralized, more stakeholders are involved in the energetic supply chain and stakeholders may be unwilling to share their private information with other entities. We aim to use a game theoretic approach within the control scheme for coordinating the decisions of stakeholders considering their autonomy and self interest in order to quantify of costs and provide a fair compensation to all the agents in the system. Game theory offers an ideal framework for studying the mutual interactions among players. The game between multiple agents in the integrated energy system can be modelled as a cooperative game, non-cooperative game, Stackelberg game, etc.
The goal of this project is to design and evaluate different game-theoretic models for the peer-to-peer coordination in an energy hub network. Game theory comprises of two branches: cooperative game theory (CGT) and non-cooperative game theory (NCGT). Cooperative game theory is a game between coalitions of players rather than between individuals, and it questions how groups form and how they allocate the payoff among players whereas non-cooperative game theory deals with how rational economic agents deal with each other to achieve their own goals. In this project, suitable cooperative and non cooperative game strategies will be identified, implemented and tested in simulation with different energy hub network configurations to identify potential advantages/disadvantages of each strategy as well as which game approach is most suitable for different scenarios.
1. Literature review: study the existing cooperative and non-cooperative game strategies and application to peer-to-peer trading and multi-energy systems.
2. Starting from the existing strategies, implement suitable cooperative game schemes for the peer to peer energy trading and coordination in an energy hub network.
3. Implement suitable non-cooperative game theory based energy management systems for energy district
4. Comparative evaluation of different strategies and further reinforcement-learning based incentive strategies in multi-agent games
5. Documentation and final presentation of the work1.
1. Literature review: study the existing cooperative and non-cooperative game strategies and application to peer-to-peer trading and multi-energy systems. 2. Starting from the existing strategies, implement suitable cooperative game schemes for the peer to peer energy trading and coordination in an energy hub network. 3. Implement suitable non-cooperative game theory based energy management systems for energy district 4. Comparative evaluation of different strategies and further reinforcement-learning based incentive strategies in multi-agent games 5. Documentation and final presentation of the work1.
• Varsha N. Behrunani varsha.behrunani@empa.ch or bvarsha@ethz.ch
• Giuseppe Belgioioso gbelgioioso@ethz.ch
• Varsha N. Behrunani varsha.behrunani@empa.ch or bvarsha@ethz.ch • Giuseppe Belgioioso gbelgioioso@ethz.ch