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Energy management of community microgrids considering degradation cost of battery

Journal Article


Abstract


  • A storage system is a key component of a microgrid. Over the last few years, research has been undertaken to determine optimal management of microgrid resources. Battery storage has a significant impact on the total operational cost as the lifetime of the battery reduces during charging and discharging cycles. In this paper, we propose optimal energy management of a community microgrid in which the cost function includes the degradation cost of the battery and a dynamic penalty to reflect the true operational cost. Particle swarm optimisation (PSO) is used to determine the battery control actions for real-time energy management. Several case studies are presented to demonstrate the effectiveness of the proposed framework in which the new cost function reduces electricity cost by up to 44.50% compared to a baseline method and 37.16% compared to another existing approach.

UOW Authors


  •   Hossain, Md (external author)
  •   Pota, Hemanshu Roy. (external author)
  •   Squartini, Stefano (external author)
  •   Zaman, Forhad (external author)
  •   Muttaqi, Kashem

Publication Date


  • 2019

Citation


  • M. Hossain, H. Roy. Pota, S. Squartini, F. Zaman & K. M. Muttaqi, "Energy management of community microgrids considering degradation cost of battery," Journal of Energy Storage, vol. 22, pp. 257-269, 2019.

Scopus Eid


  • 2-s2.0-85061367920

Number Of Pages


  • 12

Start Page


  • 257

End Page


  • 269

Volume


  • 22

Place Of Publication


  • Netherlands

Abstract


  • A storage system is a key component of a microgrid. Over the last few years, research has been undertaken to determine optimal management of microgrid resources. Battery storage has a significant impact on the total operational cost as the lifetime of the battery reduces during charging and discharging cycles. In this paper, we propose optimal energy management of a community microgrid in which the cost function includes the degradation cost of the battery and a dynamic penalty to reflect the true operational cost. Particle swarm optimisation (PSO) is used to determine the battery control actions for real-time energy management. Several case studies are presented to demonstrate the effectiveness of the proposed framework in which the new cost function reduces electricity cost by up to 44.50% compared to a baseline method and 37.16% compared to another existing approach.

UOW Authors


  •   Hossain, Md (external author)
  •   Pota, Hemanshu Roy. (external author)
  •   Squartini, Stefano (external author)
  •   Zaman, Forhad (external author)
  •   Muttaqi, Kashem

Publication Date


  • 2019

Citation


  • M. Hossain, H. Roy. Pota, S. Squartini, F. Zaman & K. M. Muttaqi, "Energy management of community microgrids considering degradation cost of battery," Journal of Energy Storage, vol. 22, pp. 257-269, 2019.

Scopus Eid


  • 2-s2.0-85061367920

Number Of Pages


  • 12

Start Page


  • 257

End Page


  • 269

Volume


  • 22

Place Of Publication


  • Netherlands