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An Optimal Energy Storage Operation Scheduling Algorithm for a Smart Home Considering Life Cost of Energy Storage System

  • Yan, Luo (Dept. of Electrical Engineering, Konkuk University) ;
  • Baek, Min-Kyu (Dept. of Electrical Engineering, Konkuk University) ;
  • Park, Jong-Bae (Dept. of Electrical Engineering, Konkuk University) ;
  • Park, Yong-Gi (Dept. of Electrical Engineering, Konkuk University) ;
  • Roh, Jae Hyung (Dept. of Electrical Engineering, Konkuk University)
  • Received : 2017.01.12
  • Accepted : 2017.03.22
  • Published : 2017.07.01

Abstract

This paper presents an optimal operation scheduling algorithm for a smart home with energy storage system, electric vehicle and distributed generation. The proposed algorithm provides the optimal charge and discharge schedule of the EV and the ESS. In minimizing the electricity costs of the smart home, it considers not only the cost of energy purchase from the grid but also the life cost of batteries. The life costs of batteries are calculated based on the relation between the depth of discharge and life time of battery. As the life time of battery depends on the charge and discharge pattern, optimal charge and discharge schedule should consider the life cost of batteries especially when there is more than one battery with different technical characteristics. The proposed algorithm can also be used for optimal selection of size and type of battery for a smart home.

Keywords

References

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