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Control Strategies and Economic Analysis of an LTO Battery Energy Storage System for AGC Ancillary Service

Author

Listed:
  • Bingxiang Sun

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Xitian He

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Weige Zhang

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Yangxi Li

    (CHINT ESS Division, Shanghai 201614, China)

  • Minming Gong

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Yang Yang

    (Envision Energy, Shanghai 200051, China)

  • Xiaojia Su

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Zhenlin Zhu

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Wenzhong Gao

    (Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80208, USA)

Abstract

With the rapid growth of renewable energy and the DC fast charge pile of the electric vehicle, their inherent volatility and randomness increase a power system’s unbalance of instantaneous power. The need for power grid frequency regulation is increasing. The energy storage system (ESS) can be used to assist the thermal power unit so that a better frequency regulation result is obtained without changing the original operating mode of the unit. In this paper, a set of different charging/discharging control strategies of the lithium titanate battery (LTO) is proposed, which are chosen according to the interval of the State of energy (SOE) to improve the utilization rate of the ESS. Finally, the cost-benefit model of the ESS participating in automatic generation control ancillary service is established. Case analysis proves that after a 1.75 MWh ESS is configured for a 600 MW thermal power unit, K p and D is increased from 1.42 to 6.38 and 2857 to 6895 MW. The net daily income is increased from 20,284 yuan to 199,900 yuan with a repayment period of 93 days. The results show that the control strategies and the energy configuration method can improve the performance and economic return of the system.

Suggested Citation

  • Bingxiang Sun & Xitian He & Weige Zhang & Yangxi Li & Minming Gong & Yang Yang & Xiaojia Su & Zhenlin Zhu & Wenzhong Gao, 2020. "Control Strategies and Economic Analysis of an LTO Battery Energy Storage System for AGC Ancillary Service," Energies, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:505-:d:311141
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    References listed on IDEAS

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    1. Daneshazarian, Reza & Cuce, Erdem & Cuce, Pinar Mert & Sher, Farooq, 2018. "Concentrating photovoltaic thermal (CPVT) collectors and systems: Theory, performance assessment and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 473-492.
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    Cited by:

    1. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    2. Danijela Barić & Silvestar Grabušić & Martina Jakara & Marko Emanović, 2023. "Reviewing the Cost–Benefit Analysis and Multi-Criteria Decision-Making Methods for Evaluating the Effectiveness of Lithium-Ion Batteries in Electric Vehicles," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    3. He, Xitian & Sun, Bingxiang & Zhang, Weige & Fan, Xinyuan & Su, Xiaojia & Ruan, Haijun, 2022. "Multi-time scale variable-order equivalent circuit model for virtual battery considering initial polarization condition of lithium-ion battery," Energy, Elsevier, vol. 244(PB).
    4. He, Xitian & Sun, Bingxiang & Zhang, Weige & Su, Xiaojia & Ma, Shichang & Li, Hao & Ruan, Haijun, 2023. "Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation," Energy, Elsevier, vol. 277(C).

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