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Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-Out Cost

Author

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  • Yohwan Choi

    (Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea)

  • Hongseok Kim

    (Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 121-742, Korea)

Abstract

A self-sustainable base station (BS) where renewable resources and energy storage system (ESS) are interoperably utilized as power sources is a promising approach to save energy and operational cost in communication networks. However, high battery price and low utilization of ESS intended for uninterruptible power supply (UPS) necessitates active utilization of ESS. This paper proposes a multi-functional framework of ESS using dynamic programming (DP) for realizing a sustainable BS. We develop an optimal charging and discharging scheduling algorithm considering a detailed battery wear-out model to minimize operational cost as well as to prolong battery lifetime. Our approach significantly reduces total cost compared to the conventional method that does not consider battery wear-out. Extensive experiments for several scenarios exhibit that total cost is reduced by up to 70.6% while battery wear-out is also reduced by 53.6%. The virtue of the proposed framework is its wide applicability beyond sustainable BS and thus can be also used for other types of load in principle.

Suggested Citation

  • Yohwan Choi & Hongseok Kim, 2016. "Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-Out Cost," Energies, MDPI, vol. 9(6), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:462-:d:72134
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    References listed on IDEAS

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    1. Asma Mohamad Aris & Bahman Shabani, 2015. "Sustainable Power Supply Solutions for Off-Grid Base Stations," Energies, MDPI, vol. 8(10), pages 1-38, September.
    2. Han, Sekyung & Han, Soohee & Aki, Hirohisa, 2014. "A practical battery wear model for electric vehicle charging applications," Applied Energy, Elsevier, vol. 113(C), pages 1100-1108.
    3. Issaadi, Wassila & Khireddine, Abdelkrim & Issaadi, Salim, 2016. "Management of a base station of a mobile network using a photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1570-1590.
    4. Zhongfu Tan & Huanhuan Li & Liwei Ju & Yihang Song, 2014. "An Optimization Model for Large–Scale Wind Power Grid Connection Considering Demand Response and Energy Storage Systems," Energies, MDPI, vol. 7(11), pages 1-23, November.
    5. M. Armand & J.-M. Tarascon, 2008. "Building better batteries," Nature, Nature, vol. 451(7179), pages 652-657, February.
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    Cited by:

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    14. Seung-Ju Lee & Yourim Yoon, 2020. "Electricity Cost Optimization in Energy Storage Systems by Combining a Genetic Algorithm with Dynamic Programming," Mathematics, MDPI, vol. 8(9), pages 1-20, September.
    15. Hong-Chao Gao & Joon-Ho Choi & Sang-Yun Yun & Hak-Ju Lee & Seon-Ju Ahn, 2018. "Optimal Scheduling and Real-Time Control Schemes of Battery Energy Storage System for Microgrids Considering Contract Demand and Forecast Uncertainty," Energies, MDPI, vol. 11(6), pages 1-15, May.
    16. Luis Galván & Juan M. Navarro & Eduardo Galván & Juan M. Carrasco & Andrés Alcántara, 2019. "Optimal Scheduling of Energy Storage Using A New Priority-Based Smart Grid Control Method," Energies, MDPI, vol. 12(4), pages 1-17, February.
    17. Ding, Yi & Shao, Changzheng & Yan, Jinyue & Song, Yonghua & Zhang, Chi & Guo, Chuangxin, 2018. "Economical flexibility options for integrating fluctuating wind energy in power systems: The case of China," Applied Energy, Elsevier, vol. 228(C), pages 426-436.
    18. Ahmed Belila & Mohamed Benbouzid & El-Madjid Berkouk & Yassine Amirat, 2018. "On Energy Management Control of a PV-Diesel-ESS Based Microgrid in a Stand-Alone Context," Energies, MDPI, vol. 11(8), pages 1-23, August.
    19. Chong Chen & Xuan Zhou & Xiaowei Yang & Zhiheng He & Zhuo Li & Zhengtian Li & Xiangning Lin & Ting Wen & Yixin Zhuo & Ning Tong, 2018. "Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads," Energies, MDPI, vol. 11(4), pages 1-22, April.
    20. Byuk-Keun Jo & Seungmin Jung & Gilsoo Jang, 2019. "Feasibility Analysis of Behind-the-Meter Energy Storage System According to Public Policy on an Electricity Charge Discount Program," Sustainability, MDPI, vol. 11(1), pages 1-17, January.

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