Advertisement

Optimal Operation of Renewable-Based Residential Energy Hubs for Minimizing PV Curtailment

  • Soroush Senemar
  • Alireza Seifi
  • Mohammad Rastegar
Chapter

Abstract

This chapter models a residential multi-carrier energy system as an energy hub. A combined heat and power (CHP) unit, a gas boiler, a heat storage system, a plug-in hybrid electric vehicle (PHEV), and photovoltaic (PV) generation are modeled in the proposed residential energy hub to provide heat and electrical demands. This chapter also investigates the issue of PV generation curtailment in the operation of the residential energy hub. To this end, an optimization-based problem is solved not only to minimize the operation cost of the energy hub, but also to minimize the PV curtailment. The impact of PHEV and the heat storage system on the operation of the energy hub and the amount of PV curtailment is investigated in this chapter. Since the availability of PHEV during a day is not usually concurrent with the PV generation, the results show that considering PHEV in the energy hub model may have low impacts on the PV curtailment. However, the presence of the storage system can reduce the PV curtailment significantly. The presented study and results show the effectiveness of the proposed optimization procedure in this chapter.

Keywords

Energy hub Combined heat and power (CHP) PV curtailment Heat storage system Optimal operation 

References

  1. 1.
    Pales AF (2013) The IEA CHP and DHC collaborative (CHP/DHC country scorecard: Japan), International Energy Agency (IEA) Insights Series, Paris, France, Technical ReportGoogle Scholar
  2. 2.
    Geidl M, Andersson G (2007) Optimal power flow of multiple energy carriers. IEEE Trans Power Syst 22(1):145–155CrossRefGoogle Scholar
  3. 3.
    Energy Information Administration (2016) http://www.eia.gov/electricity/annual. Accessed 30 July 2016
  4. 4.
    Ren H, Gao W, Ruan Y (2008) Optimal sizing for residential CHP system. Appl Therm Eng 28:514–523CrossRefGoogle Scholar
  5. 5.
    Martinez-Mares A, Fuerte-Esquivel CR (2012) A unified gas and power flow analysis in natural gas and electricity coupled networks. IEEE Trans Power Syst 27(4):2156–2166CrossRefGoogle Scholar
  6. 6.
    Geidl M, Andersson G (2006) Operational and structural optimization of multi-carrier energy systems. Eur Trans Electr Power 16:463–477CrossRefGoogle Scholar
  7. 7.
    Ruan Y, Gao W (2005) Optimization of co-generation system for housing complex. J Environ Eng (Trans AIJ) 592:15–22CrossRefGoogle Scholar
  8. 8.
    Du P, Lu N (2011) Appliance commitment for household load scheduling. IEEE Trans Smart Grid 2(2):411–419CrossRefGoogle Scholar
  9. 9.
    Brahman F, Honarmand M, Jadid S (2014) Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system. Energy Build 90:65–75CrossRefGoogle Scholar
  10. 10.
    Bozchalui MC, Hashmi SA, Hassen H (2012) Optimal operation of residential energy hubs in smart grids. IEEE Trans Smart Grid 3(4):1755–1766CrossRefGoogle Scholar
  11. 11.
    Rastegar M, Fotuhi-Firuzabad M, Zareipoor H, Moeini-aghtaie M (2016) A probabilistic energy management scheme for renewable-based residential energy hubs. IEEE Trans Smart Grid 8:2217–2227.  https://doi.org/10.1109/TSG.2016.2518920 CrossRefGoogle Scholar
  12. 12.
    Rastegar M, Fotuhi-Firuzabad M, Lehtonen M (2015) Home load management in a residential energy hub. J Electr Power Syst Res 119:322–328CrossRefGoogle Scholar
  13. 13.
    Fujimoto Y et al (2016) Distributed energy management for comprehensive utilization of residential photovoltaic outputs. IEEE Trans Smart Grid.  https://doi.org/10.1109/TSG.2016.2581882
  14. 14.
    Barmayoon MH, Fotuhi-Firuzabad M, Rajabi-Ghahnavieh A, Moeini-Aghtaie M (2016) Energy storage in renewable-based residential energy hubs. IET Gener Transm Distrib 10(13):3127–3134CrossRefGoogle Scholar
  15. 15.
    Moeini-aghtaie M, Abbaspour A, Fotuhi-Firuzabad M (2012) Incorporating large-scale distant wind farms in probabilistic transmission expansion planning – part I: theory and algorithm. IEEE Trans Power Syst 27(3):1585–1593CrossRefGoogle Scholar
  16. 16.
    Karami H, Sanjari MJ, Hosseinian SH, Gharehpetian GB (2014) An optimal dispatch algorithm for managing residential distributed energy resources. IEEE Trans Smart Grid 5(5):2360–2367CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Soroush Senemar
    • 1
  • Alireza Seifi
    • 1
  • Mohammad Rastegar
    • 1
  1. 1.Electrical and Computer Engineering DepartmentShiraz UniversityShirazIran

Personalised recommendations