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Smart Grid Planning Considering Renewables and Demand Response Programs

Chegnizadeh, Mohsen | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48968 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Hosseini, Hamid
  7. Abstract:
  8. The concept of smart grid to realize the triple goals of economy, reliability and environmental improvements has taken advantage of modern equipment and new structures. Beside these goals smart grids seek to increase the level of penetration of renewable resources for environmental improvement. On the other hand, increase in dispersed products and problems resulting from increasing these non-dispatchable resources thus led the researches to design a new structure called microgrid. Microgrid improves the reliability of these resources and facilities their uses. But uncertainty and intermittency in producing renewable energy resources are among the main challenges facing these microgrids. Using high-speed generating units is a viable but costly solution for the abovementioned challenges. In this research, using demand response programs, one of the key components of smart grids, has been proposed as a suitable substitute for these costly enterprises. To this end, this research has addressed the potential of demand response in the process of microgrid planning. In the presented planning model, maximizing financial profit of the owner of microgrid has been takes into account as the main limitation to ensure the resiliency of microgrid in island conditions. Also, the proposed model takes advantage of CVaR criterion for managing financial risk resulting from different uncertainties like demand, elasticities, price and renewable generations. Finally, drawing upon Benders decomposition algorithm, the proposed model has been transformed into a main problem and a sub-problem to be easily solved
  9. Keywords:
  10. Microgrid ; Planning ; Demand Response ; Renewable Energy Resources ; Resiliency Matrix ; Uncertainty

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