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Smart Home Incorporating Load Control

Rastegar, Mohammad | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42071 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmoud
  7. Abstract:
  8. Smart grid brings miscellaneous concepts and advantages; increasing power quality, decreasing outages, motivating the consumers to participate in power system plans, and accommodating distributed generations (DG) are the most important purposes of smart grid implementation. Appearance of modern technologies makes operators devise better operation function. The effect of these technologies on the power system should be probed by sufficient criterions. In addition, preventing undesirable consequences of new technologies operation in the grid is the requirement of having smarter grid. In this thesis, based on the smart home concept two issues are discussed. In the first issue, a new algorithm to evaluate distribution system reliability, considering SCs near end-users is approached. The probabilistic nature of the demand and SC generation are investigated to solve challenges of integrating these variable generators with the distribution system. In a smart home, to handle the variation of SC generation, solar load controller (SLC) is utilized to match load and generation of SCs during the islanding mode. Harmonizing load and generation by SLC may cause continual fluctuation in the on/off mode of appliances. In this thesis, a structure is proposed to supply the critical load throughout periods in which SC cannot supply the entire associated demand. Numerical simulations are investigated to verify various aspects of the proposed approach. In the second issue, an optimal and automatic residential load commitment (LC) framework to achieve the household minimum payment is presented. Problem decision variables are the operating status of responsive appliances and charging/discharging cycles of battery storage and plug-in hybrid electric vehicles (PHEVs). Storage capability in residential centers not only can supply the local demand during the expensive hours but even let the customers sell back the energy to the utility. The optimization-based LC shifts the responsive loads to inexpensive periods which rationally coincide to the valley of the consumption profile. As a matter of fact, the peak to average ratio (PAR) of the load profile would likely decrease which, although might be unappealing for the customers themselves, is desirable from the utility viewpoints. Direct load control (DLC) is also modeled in the proposed LC approach. In the DLC program, a customer receives a rather fair tariff against assigning the right of controlling a set of specific devices to the utility. The customer inconvenience is accounted as the factor restricting a complete DLC realization. Numerical simulations are conducted to illustrate the proposed notions and to verify the efficiency of the model developed.
  9. Keywords:
  10. Smart Home ; Reliability ; Solar Cells ; Demand Response ; Home Load Control

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