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Optimal configuration of grid-side battery energy storage system under power marketization

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  • Jiang, Xin
  • Jin, Yang
  • Zheng, Xueyuan
  • Hu, Guobao
  • Zeng, Qingshan

Abstract

From the view of power marketization, a bi-level optimal locating and sizing model for a grid-side battery energy storage system (BESS) with coordinated planning and operation is proposed in this paper. Taking the conventional unit side, wind farm side, BESS side, and grid side as independent stakeholder operators (ISOs), the benefits of BESS are divided into direct and indirect parts. The direct revenue for BESS is the arbitrage of the peak-valley electricity price and auxiliary service compensation. The indirect revenue refers to the benefits that BESS provides to other ISOs, including wind curtailed energy savings, a reduction in the operating cost of units, and a decrease in network loss. To maximize the comprehensive benefits of BESS, the outer layer is a multi-objective optimal model for BESS locating and sizing based on a cost-benefit analysis. The inner layer is an optimal scheduling model that coordinates wind power, units, and BESS. Thus, a multi-objective bi-level model for the optimal configuration of BESS is established. In addition, by considering the impact of a charge/discharge strategy on the life cycle of BESS, the interaction between BESS planning and operation is introduced into the model based on the equivalent life loss. The multi-objective particle swarm optimization (PSO) based on the information entropy method and the second-order cone relaxation method is employed to solve the optimal model. Results based on an improved IEEE 39-node system verify the feasibility and effectiveness of the proposed model.

Suggested Citation

  • Jiang, Xin & Jin, Yang & Zheng, Xueyuan & Hu, Guobao & Zeng, Qingshan, 2020. "Optimal configuration of grid-side battery energy storage system under power marketization," Applied Energy, Elsevier, vol. 272(C).
    • Handle: RePEc:eee:appene:v:272:y:2020:i:c:s0306261920307546
    DOI: 10.1016/j.apenergy.2020.115242
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    References listed on IDEAS

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    1. Wang, Yongli & Wang, Yudong & Huang, Yujing & Li, Fang & Zeng, Ming & Li, Jiapu & Wang, Xiaohai & Zhang, Fuwei, 2019. "Planning and operation method of the regional integrated energy system considering economy and environment," Energy, Elsevier, vol. 171(C), pages 731-750.
    2. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    3. She, Zhen-Yu & Meng, Gang & Xie, Bai-Chen & O'Neill, Eoghan, 2020. "The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective," Applied Energy, Elsevier, vol. 264(C).
    4. Liu, Yuanxin & Zheng, Ruijin & Chen, Sisi & Yuan, Jiahai, 2019. "The economy of wind-integrated-energy-storage projects in China's upcoming power market: A real options approach," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    5. Lin, Boqiang & Chen, Yufang, 2019. "Impacts of policies on innovation in wind power technologies in China," Applied Energy, Elsevier, vol. 247(C), pages 682-691.
    6. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    7. Novoa, Laura & Flores, Robert & Brouwer, Jack, 2019. "Optimal renewable generation and battery storage sizing and siting considering local transformer limits," Applied Energy, Elsevier, vol. 256(C).
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