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Probabilistic Home Load Controlling Considering Plug-in Hybrid Electric Vehicle Uncertainties

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Reliability Modeling and Analysis of Smart Power Systems

Abstract

Home automation is evolving with the objective of upgrading the living convenience. The load control is, however, conceived as its subsidiary function for economic benefits. In this chapter, the problem of home load controlling (HLC) is widely investigated through deterministic and probabilistic analysis. The behavior of plug-in hybrid electric vehicles (PHEVs) consumer, i.e., departure time, traveling time, and energy consumption, are assumed to be stochastic variables. Incorporation of these inherent uncertainties offers a solution with robust optimality in real world applications. More benefits are accordingly achievable compared with deterministic solutions. The optimization problem is formulated based on the mixed-integer programming (MIP) fashion since present commercial high-performance solvers guarantee the optimality of solutions. Numerical studies are conducted in order to illustrate the effectiveness of the model which clarifies the practicality of the proposed approach. A variety of sensitivity analyses are performed to demonstrate the effectiveness of the method in different conditions.

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References

  1. Mohsenian-Rad AH, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environment. IEEE Trans Smart Grid 1:120–133

    Article  Google Scholar 

  2. Du P, Lu N (2011) Appliance commitment for household load scheduling. IEEE Trans Smart Grid 2:411–419

    Article  Google Scholar 

  3. Pedrasa MAA, Spooner TD, MacGill IF (2010) Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Trans Smart Grid 1:134–142

    Article  Google Scholar 

  4. Darabi Z, Ferdowsi M (2011) Aggregated impact of plug-in hybrid electric vehicles on electricity demand profile. IEEE Trans Sustain Energy 2:501–508

    Article  Google Scholar 

  5. Clement-Nyns K, Haesen E, Driesen J (2010) The impact of charging plug-in hybrid electric vehicles on a residential distribution grid. IEEE Trans Power Syst 25:371–380

    Article  Google Scholar 

  6. Vazquez S, Lukic SM, Galvan E, Franquelo LG, Carrasco JM (2010) Energy storage systems for transport and grid applications. IEEE Trans Indus Electron 57:3881–3895

    Article  Google Scholar 

  7. Erol-Kantarci M, Mouftah HT (2011) Wireless sensor networks for cost-efficient residential energy management in the smart grid. IEEE Trans Smart Grid 2:314–325

    Article  Google Scholar 

  8. Erol-Kantarci M, Mouftah HT (2010) Using wireless sensor networks for energy-aware homes in smart grids. IEEE Symposium on computers and communications (ISCC)

    Google Scholar 

  9. Conejo AJ, Morales JM, Baringo L (2010) Real-time demand response model. IEEE Trans Smart Grid 1:120–133

    Article  Google Scholar 

  10. Rastegar M, Fotuhi-Firuzabad M, Aminifar F (2012) Load commitment in a smart home. J Appl Energy 96:45–54

    Article  Google Scholar 

  11. Ipakchi A, Albuyeh F (2009) Grid of the future. IEEE Power Energy Mag 7(4):52–62

    Article  Google Scholar 

  12. National household travel survey (2014) http://nhts.ornl.gov

  13. Billinton R, Allen R (1996) Reliability evaluation of power system. Plenum Press

    Google Scholar 

  14. Baltimore gas and electric three-level summer’s tariffs (2012) http://www.bge.com/portal/site/bge/menuitem.dc72e1697738765822b75475da6176a0/

  15. The infinite power of Texas, estimating PV system size and cost. SECO fact sheet, vol 24, pp 1–4, 2008

    Google Scholar 

  16. Brooke A, Kendrick D, Meeraus A, Raman R (2003) GAMS: a user’s guide. GAMS Development Corp., Washington, DC

    Google Scholar 

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Author information

Authors and Affiliations

  1. Center of Excellence in Power System Management and Control, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

    Mahmud Fotuhi-Firuzabad, Mohammad Rastegar & Amir Safdarian

  2. School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

    Farrokh Aminifar

Authors
  1. Mahmud Fotuhi-Firuzabad
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  2. Mohammad Rastegar
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  3. Amir Safdarian
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  4. Farrokh Aminifar
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Corresponding author

Correspondence to Mahmud Fotuhi-Firuzabad .

Editor information

Editors and Affiliations

  1. Department of Electrical & Computer Engg, University of Saskatchewan, Saskatoon, Canada

    Rajesh Karki

  2. Department of Electrical & Computer Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Roy Billinton

  3. ATOM Engineering (Technical safety), Stord/Haugesund University College, Haugesund, Rogaland Fylke, Norway

    Ajit Kumar Verma

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Fotuhi-Firuzabad, M., Rastegar, M., Safdarian, A., Aminifar, F. (2014). Probabilistic Home Load Controlling Considering Plug-in Hybrid Electric Vehicle Uncertainties. In: Karki, R., Billinton, R., Verma, A. (eds) Reliability Modeling and Analysis of Smart Power Systems. Reliable and Sustainable Electric Power and Energy Systems Management. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1798-5_8

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  • DOI: https://doi.org/10.1007/978-81-322-1798-5_8

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1797-8

  • Online ISBN: 978-81-322-1798-5

  • eBook Packages: EnergyEnergy (R0)

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