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Peer-to-Peer Energy Trading Based on Game Theory

Azizi Alavijeh, Mehdi | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57691 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hosseini, Hamid
  7. Abstract:
  8. Gradually, energy trade is becoming a lucrative option for end-users as Distributed Energy Resources (DERs) including Electrical Energy Storage Systems (EESSs) are economically viable. In particular, the increasing penetration of prosumers provides an innovative energy ecosystem for local transactions and the development of new businesses. In general, local energy trade refers to the transfer of surplus energy from a peer to another peer having energy deficit. This energy trade requires a local market for managing transactions among different parties. Local energy markets can transform the structure of the energy system by integrating prosumers into the energy supply system. In this thesis, peer-to-peer energy trading is examined from different aspects. First, value sharing methods for profit allocation among local community members participating in peer-to-peer energy trading are studied from different perspectives. The results in this section show that Shapley's value sharing method is considered fair but is not stable and the members incline to leave the grand coalition to increase their share, but the surplus minimization method is stable in the worst case, but it has a number of limitations that limit the application of this method in large societies. Therefore, a modified worst-case surplus minimization method is considered which places producers-consumers in three groups of producers, consumers, and self-sufficient, and adds a series of restrictions to each of these three groups, and due to these added restrictions, the redundant variables and restrictions are removed from the original problem, which makes the simulation time drastically reduced, without compromising the accuracy of the results. Then, a price sharing method using the supply-to-demand ratio is given for multiple communities and single communities, and it is observed that the sharing price of multiple communities is in a better range than that of single communities. Then, the effect of adding a new prosumer with different production capacities and willingness to pay in peer-to-peer energy trading is investigated and it is observed that by adding a new prosumer, some prosumers can increase their profit while the profit of others will decrease. Also, it was observed that the increase of local production will reduce the amount of carbon dioxide emissions. Then, peer-to-peer energy trading is formulated considering different technologies as a hybrid complementary problem to study their interaction and local price. Next, peer-to-peer and the centralized order book market designs with two behaviors of zero intelligence agents and intelligent agents are compared and will see that the peer-to-peer energy trading market with intelligent agents is the best because it leads to the lowest average total price. At the end, the impact of peer-to-peer energy trading on the net load curve is considered and it is observed that peer-to-peer energy trading reduces the peak-to-valley difference in the net load curve
  9. Keywords:
  10. Distributed Energy Resorurces (DER) ; Local Energy Markets ; Intelligent Agent ; Energy Storage ; Grid Net-Load ; Value Sharing ; Peer-to-Peer Energy Trading ; Supply-Demand Ratio ; Centralized Travel Agency ; Zero Intelligence Agents

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