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Peer-to-Peer Energy Sharing Optmization Among Smart Energy Hubs in an Integrated Heat-Electricity Network

Ghaffari Daryan, Amir Reza | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53283 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. With deployment of distributed generation such as photovoltaic (PV) and active prosumers along with demand response (DR) ability, new fields are being created for energy markets and they are moving towards a consumer-centric way. Peer-to-Peer (P2P) network is one of the top research focuses which many studies have been conducted recently. The P2P network is based on multi bilateral agreements between Prosumers that help each other to manage and balance the supply and demand of energy between each other. In this thesis, two important structures of P2P network, which are called community-based and fully-decentrilized, respectively based on MILP (mixed integer linear programing) and ADMM (alternating direction method of multipliers) methods are formulated. both methods are solved in decentrilize way. In the community-based structure, an intermediary is defined for the exchange of energy between housholds, which announces internal prices to housholds based on supply and demand ratio, and housholds optimize their cost based on electric prices and dissatisfaction wich ocured by changing user consumption load pattern. It is shown that community-based structure can help reduce household costs and network peak demand and increase PV energy sharing among housholds. In the fully-decentrilized structure, energy exchange between several smart energy hubs(S. E. hubs) is discussed, in which S. E. hub’s have the ability to exchange thermal and electrical energy among each other. Also, different modes of operation of combined heat and electricity (CHP) are discussed. A 2 stage solution to the problem of energy sharing among S. E. hub’s is presented. In the first stage S. E. hub’s decide the optimal energy trading to minimize their total cost and at the second stage they decide their optimal payment between each other and incentivised all S. E. hub’s to participate in energy sharing. It is shown that energy sharing among S. E. hub’s can reduce their cost and thanks to energy exchange, CHP’s operate more flexibly
  9. Keywords:
  10. Demand Response ; Smart Energy Hub ; Electricity Market ; Peer-to-Peer Energy Sharing ; Mixed Integer Linear Programming ; Alternating Direction Method of Multipliers (ADMM)Algorithm

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