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

다국어 초록 (Multilingual 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.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Optimal Scheduling of Energy Storage System
• 3. Case Syudy
• 4. Conclusion
• References

참고문헌 (Reference)

1 Sung Nam Kwon, "Variation of discharge capacities with C-rate for LiNi1-yMyO2(M = Ni, Ga, Al and/or Ti)cathodes synthesized by the combustion method" 36 (36): 893-898, 2010

2 Xiao Hui Li, "User-expected pricebased demand response algorithm for a home to-grid system" 64 : 437-449, 2014

3 Xiaodao Chen, "Uncertainty-Aware Household Appliance Scheduling Considering Dynamic Electricity Pricing in Smart Home" 4 (4): 2013

4 Minoru Uehara, "The Design of a Framework for Smart Appliances" 2015

5 Ozan Erdinc, "Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR" 6 (6): 1281-1291, 2015

6 Saeed Khaleghi Rahimian, "Optimal charge rates for a lithium ion cell" 196 (196): 10297-10304, 2011

7 Arthur K. Barnes, "Optimal Battery Chemistry, Capacity Selection, Charge/Discharge Schedule, and Lifetime of Energy Storage under Time-of-Use Pricing" 2011

8 Chengke Zhou, "Modeling of the Cost of EV Battery Wear Due to V2G Application in Power Systems" 26 (26): 2011

9 Mohammad Rastegar, "Investigating the Impacts of Different Price-Based Demand Response Programs on Home Load Management" 대한전기학회 9 (9): 1125-1131, 2014

10 Jiayun Zhao, "Hybrid agent-based simulation for policy evaluation of solar power generation systems" 19 (19): 2189-2205, 2011

11 June-Sang Lee, "Electric Model of Li-Ion Polymer Battery for Motor Driving Circuit in Hybrid Electric Vehicle" 대한전기학회 7 (7): 932-939, 2012

12 Ozan Erdinc, "Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households" 126 : 142-150, 2014

13 Jan Becker, "Development and Validation of an Energy Management System for an Electric Vehicle with a split Battery Storage System" 대한전기학회 8 (8): 920-929, 2013

14 Abbas A. Akhil, "DOE/EPRI 2013 Electricity Storage Handbook in Collaboration with NRECA" SANDIA 2013

15 Antonio Affanni, "Battery Choice and Management for New-Generation Electric Vehicles" 52 (52): 1343-1349, 2005

16 고윤석, "A Study on the Agent (Protective Device)-based Fault Determination and Separation Methodology for Smart Grid Distribution System" 대한전기학회 10 (10): 102-108, 2015