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Smart Energy Hub Optimal Operation; a Game Theoritic Approach

Sheikhi, Aras | 2016

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 48741 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. The development of technologies such as micro turbines and gas furnaces has been the major driving force towards integration of electricity and natural gas networks in the energy hubs (EH). Besides, the existing power grids are getting smarter by implementing the new generation of information technologies and communication systems. In smart grid, the electricity suppliers can modify the customers’ electrical load consumption by employing appropriate scheduling schemes such as DR (demand response) programs. In this thesis, I consider the S. E. Hubs (smartenergy hubs) framework, in which the customers can use EMS (energy management system) to access to the electricity and natural gas prices data and wisely manage their daily energy consumption. I extend the existing DR programs to the IDR (integrated demand response) programs with the aim of modifying both electricity and natural gas consumption on the customer side. The interaction between S.E. hubs in the IDR program is formulated as a non-cooperative game in two scenarios. In the first one consumers are only experincing must-run loads and in the second one they have some shiftable loads too. In the latter one I consider utility function to model their behaviour correctly. The goal of the IDR game in the former scenario is to minimize the customers’ consumption cost and in the latter case it is considering both maximizing the natural gas and electricity utility companies’profit and also minimizing the customers’ consumption cost and their utility simultaneously. After running the IDR game in first scenario aggregated energy bill has been plunged around 28% and peak to average ratio (PAR) has been moderated for electrical grid. In the case of second scenario, it is shown that the proposed game model is an ordinal potential game with unique Nash equilibrium. Simulations are performed on an energy system with 6 S. E. Hubs, one electricity utility, and one natural gas utility companies. The results confirm that the IDR program can benefit both the customer side, by reducing the electricity and gas consumption cost, and the supplier side, by reducing the peak load demand in the electricity and natural gas load profiles. It is also shown that the proposed game reduces customer energy bill and electrical peak to average ratio (PAR) up to 34 % and 28 %, and simultaneously increasing the electricity and natural gas suppliers turnovers 36% and 12% respectively
  9. Keywords:
  10. Smart Energy Hub ; Smart Power Grid ; Game Theory ; Optimization ; Demand Response ; Integrated Demand Response

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