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Cost–Benefit Analysis of Energy Storage in Distribution Networks

Author

Listed:
  • Yu Ji

    (China Electric Power Research Institute, Beijing 100192, China)

  • Xiaogang Hou

    (China Electric Power Research Institute, Beijing 100192, China)

  • Lingfeng Kou

    (China Electric Power Research Institute, Beijing 100192, China)

  • Ming Wu

    (China Electric Power Research Institute, Beijing 100192, China)

  • Ying Zhang

    (China Electric Power Research Institute, Beijing 100192, China)

  • Xiong Xiong

    (China Electric Power Research Institute, Beijing 100192, China)

  • Baodi Ding

    (China Electric Power Research Institute, Beijing 100192, China)

  • Ping Xue

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Junlong Li

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Yue Xiang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract

Due to the challenges posed to power systems because of the variability and uncertainty in clean energy, the integration of energy storage devices (ESD) has provided a rigorous approach to improve network stability in recent years. Moreover, with the rapid development of the electricity market, an ESD operation strategy, which can maximize the benefits of ESD owners as well as the contribution to the electricity network stability, plays an important role in the marketization of ESDs. Although the benefits for ESD owners are discussed in many studies, the economic impact of ESD operation on distribution networks has not been commendably taken into account. Therefore, a cost–benefit analysis method of ESD which quantifies the economic impact of ESD operation on distribution networks is proposed in this paper. Considering the time-of-use (TOU) price and load demand, the arbitrage of ESD is realized through a strategy with low price charging and high price discharging. Then, the auxiliary service of ESD is realized by its capability of peak shaving and valley filling. In this paper, the long-run incremental cost (LRIC) method is adopted to calculate the network price based on the congestion cost. Based on the dynamic cost–benefit analysis method, the cost–benefit marginal analysis model in the ESD life cycle is proposed through the calculation of the present value of benefit. Subsequently, the optimal ESD capacity and charge/discharge rate is obtained to get the shortest payback period by analyzing different operation parameters. Finally, a case study is undertaken, where the ESD operation model mentioned above is simulated on a two-bus system and a 33-bus system, and the ESD cost–benefit analysis and the analysis of corresponding influence factors are carried out adequately.

Suggested Citation

  • Yu Ji & Xiaogang Hou & Lingfeng Kou & Ming Wu & Ying Zhang & Xiong Xiong & Baodi Ding & Ping Xue & Junlong Li & Yue Xiang, 2019. "Cost–Benefit Analysis of Energy Storage in Distribution Networks," Energies, MDPI, vol. 12(17), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3363-:d:262930
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    References listed on IDEAS

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    1. Dickinson, Ryan M. & Cruickshank, Cynthia A. & Harrison, Stephen J., 2013. "Charge and discharge strategies for a multi-tank thermal energy storage," Applied Energy, Elsevier, vol. 109(C), pages 366-373.
    2. Shahmohammadi, Ali & Sioshansi, Ramteen & Conejo, Antonio J. & Afsharnia, Saeed, 2018. "Market equilibria and interactions between strategic generation, wind, and storage," Applied Energy, Elsevier, vol. 220(C), pages 876-892.
    3. Zhang, Caiping & Jiang, Jiuchun & Gao, Yang & Zhang, Weige & Liu, Qiujiang & Hu, Xiaosong, 2017. "Charging optimization in lithium-ion batteries based on temperature rise and charge time," Applied Energy, Elsevier, vol. 194(C), pages 569-577.
    4. Shcherbakova, Anastasia & Kleit, Andrew & Cho, Joohyun, 2014. "The value of energy storage in South Korea’s electricity market: A Hotelling approach," Applied Energy, Elsevier, vol. 125(C), pages 93-102.
    5. Sani Hassan, Abubakar & Cipcigan, Liana & Jenkins, Nick, 2017. "Optimal battery storage operation for PV systems with tariff incentives," Applied Energy, Elsevier, vol. 203(C), pages 422-441.
    6. Yan, Xiaohe & Gu, Chenghong & Li, Furong & Xiang, Yue, 2018. "Network pricing for customer-operated energy storage in distribution networks," Applied Energy, Elsevier, vol. 212(C), pages 283-292.
    7. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, Georgios, 2016. "The value of arbitrage for energy storage: Evidence from European electricity markets," Applied Energy, Elsevier, vol. 184(C), pages 971-986.
    8. Han, Xiaojuan & Zhang, Hua & Yu, Xiaoling & Wang, Lina, 2016. "Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models," Applied Energy, Elsevier, vol. 184(C), pages 103-118.
    9. Zafirakis, Dimitrios & Chalvatzis, Konstantinos J. & Baiocchi, Giovanni & Daskalakis, George, 2013. "Modeling of financial incentives for investments in energy storage systems that promote the large-scale integration of wind energy," Applied Energy, Elsevier, vol. 105(C), pages 138-154.
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