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Optimal Configuration Strategy of PV and ESS for Enhancing the Regulation Capability of Electric Vehicles Under the Scenario of Orderly Power Utilization

Author

Listed:
  • Shunjiang Wang

    (State Grid Liaoning Electric Power Co., Ltd., Shenyang 110004, China)

  • Peng Qiu

    (Jinzhou Power Supply Branch State Grid Liaoning Electric Power Supply Co., Ltd., Jinzhou 121001, China)

  • Yiwen Feng

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Xu Jin

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

Orderly power consumption is an important method for maintaining the supply–demand balance in the power system. However, the large-scale integration of renewable energy significantly raises demand-side load flexibility requirements, challenging the implementation of orderly power utilization. The optimal configuration and scheduling of distributed energy resources (DER), including electric vehicles (EVs) and energy storage systems (ESS), represent promising approaches to addressing this issue. However, current research neglects the influence of DER configuration schemes on the participation rate of EV users in orderly power utilization. This work proposes an optimized configuration strategy for PV and ESS to enhance the participation rate of EV users in grid regulation. An economic configuration model of PV and ESS is constructed to obtain the optimal configuration plan. An incentive pricing strategy based on the configuration plan is proposed to improve the participation rate of EV users in orderly power scheduling. Simulation results demonstrate the effectiveness of the proposed configuration strategy.

Suggested Citation

  • Shunjiang Wang & Peng Qiu & Yiwen Feng & Xu Jin, 2025. "Optimal Configuration Strategy of PV and ESS for Enhancing the Regulation Capability of Electric Vehicles Under the Scenario of Orderly Power Utilization," Energies, MDPI, vol. 18(6), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1530-:d:1616109
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    References listed on IDEAS

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    1. Hou, Hui & Xu, Tao & Wu, Xixiu & Wang, Huan & Tang, Aihong & Chen, Yangyang, 2020. "Optimal capacity configuration of the wind-photovoltaic-storage hybrid power system based on gravity energy storage system," Applied Energy, Elsevier, vol. 271(C).
    2. Amin Shokri Gazafroudi & Francisco Prieto-Castrillo & Tiago Pinto & Javier Prieto & Juan Manuel Corchado & Javier Bajo, 2017. "Energy Flexibility Management Based on Predictive Dispatch Model of Domestic Energy Management System," Energies, MDPI, vol. 10(9), pages 1-16, September.
    3. Luwen Pan & Jiajia Chen, 2024. "Optimal Energy Storage Configuration of Prosumers with Uncertain Photovoltaic in the Presence of Customized Pricing-Based Demand Response," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
    4. Md Tariqul Islam & M. Jahangir Hossain & Md. Ahasan Habib & Muhammad Ahsan Zamee, 2025. "Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources," Energies, MDPI, vol. 18(2), pages 1-25, January.
    5. Zhang, Yuanshi & Zou, Bokang & Jin, Xu & Luo, Yifu & Song, Meng & Ye, Yujian & Hu, Qinran & Chen, Qirui & Zambroni, Antonio Carlos, 2025. "Mitigating power grid impact from proactive data center workload shifts: A coordinated scheduling strategy integrating synergistic traffic - data - power networks," Applied Energy, Elsevier, vol. 377(PD).
    6. Hu, Qinran & Liang, Yiheng & Ding, Haohui & Quan, Xiangjun & Wang, Qi & Bai, Linquan, 2022. "Topological partition based multi-energy flow calculation method for complex integrated energy systems," Energy, Elsevier, vol. 244(PB).
    7. Zhang, Yuanshi & Qian, Wenyan & Ye, Yujian & Li, Yang & Tang, Yi & Long, Yu & Duan, Meimei, 2023. "A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses," Applied Energy, Elsevier, vol. 349(C).
    8. Alessandro Saldarini & Michela Longo & Morris Brenna & Dario Zaninelli, 2023. "Battery Electric Storage Systems: Advances, Challenges, and Market Trends," Energies, MDPI, vol. 16(22), pages 1-30, November.
    9. Menghwar, Mohan & Yan, Jie & Chi, Yongning & Asim Amin, M. & Liu, Yongqian, 2024. "A market-based real-time algorithm for congestion alleviation incorporating EV demand response in active distribution networks," Applied Energy, Elsevier, vol. 356(C).
    10. Zhipeng Jing & Lipo Gao & Yu Mu & Dong Liang, 2024. "Flexibility-Constrained Energy Storage System Placement for Flexible Interconnected Distribution Networks," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    11. Behzad Esmaeilnezhad & Hossein Amini & Reza Noroozian & Saeid Jalilzadeh, 2025. "Flexible Reconfiguration for Optimal Operation of Distribution Network Under Renewable Generation and Load Uncertainty," Energies, MDPI, vol. 18(2), pages 1-26, January.
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