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Home Energy Management in Multi-carrier Energy Environment and Investigating Its Impacts on Electrical Distribution System

Rastegar, Mohammad | 2015

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 47885 (08)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firouzabad, Mahmud; Zareipour, Hamid Reza
  7. Abstract:
  8. Increasing demand, rising energy costs, and environmental concerns are some of the main challenges faced by the energy industry in upcoming years. With such a diverse set of issues, it is important to take a holistic approach to addressing these concerns and therefore transitioning to a smarter grid. Demand response (DR) has recently been introduced as a promising solution to these issues in the smart grid era. Since residential demand is a significant portion of the total system load, residential customers play critical roles in a proper implementation of DR programs. The main obstacle in broad implementation of residential DR is the low participation of customers in these programs. Lack of knowledge for manual responding to price and incentive signals is the main reason of low participation of residential customers. In response, in this thesis, an automatic household load control program, namely, home energy management (HEM), has been proposed to facilitate residential DR implementation. Natural gas and electricity have become the two main energy carriers for meeting the energy demand of residential dwellings. Thus, energy management for the residential sector could be seen in the context of multi-carrier energy environments. This thesis proposes a new framework for HEM in the context of renewable-based residential energy hub, using a probabilistic optimization approach. Different energy converters and storages, including a combined heat and power (CHP), a plug-in hybrid electric vehicle (PHEV), a heat storage unit, solar panels, and generic household appliances are considered in the energy hub. In addition, in this thesis, a novel two-level framework for the day-ahead HEM is proposed, in which, concerns of system operator and customers are properly responded. Numerical studies are provided to demonstrate the performance of the proposed approaches
  9. Keywords:
  10. Electricity Distribution Losses ; Home Energy Management System ; Residential Energy Model ; Energy Hub ; Combined Heat and Power (CHP)System ; House Load Demend ; Customer's Energy Cost

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