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Optimal Scheduling of Virtual Power Plant with Flexibility Margin Considering Demand Response and Uncertainties

Author

Listed:
  • Yetuo Tan

    (Jiangxi Port Group Co., Ltd., Nanchang 332000, China)

  • Yongming Zhi

    (China Water Resources Pearl River Planning, Surveying and Designing Co., Ltd., Guangzhou 510610, China)

  • Zhengbin Luo

    (Jiangxi Transportation Institute Co., Ltd., Nanchang 330200, China)

  • Honggang Fan

    (State Key Laboratory of Hydroscience and Engineering, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China)

  • Jun Wan

    (Jiangxi Jiepai Navigation and Electricity Hub Management Office, Yingtan 335000, China)

  • Tao Zhang

    (Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

Abstract

The emission reduction of global greenhouse gases is one of the key steps towards sustainable development. Demand response utilizes the resources of the demand side as an alternative of power supply which is very important for the power network balance, and the virtual power plant (VPP) could overcome barriers to participate in the electricity market. In this paper, the optimal scheduling of a VPP with a flexibility margin considering demand response and uncertainties is proposed. Compared with a conventional power plant, the cost models of VPPs considering the impact of uncertainty and the operation constraints considering demand response and flexibility margin characteristics are constructed. The orderly charging and discharging strategy for electric vehicles considering user demands and interests is introduced in the demand response. The research results show that the method can reduce the charging cost for users participating in reverse power supply using a VPP. The optimizing strategy could prevent overload, complete load transfer, and realize peak shifting and valley filling, solving the problems of the new peak caused by disorderly power utilization.

Suggested Citation

  • Yetuo Tan & Yongming Zhi & Zhengbin Luo & Honggang Fan & Jun Wan & Tao Zhang, 2023. "Optimal Scheduling of Virtual Power Plant with Flexibility Margin Considering Demand Response and Uncertainties," Energies, MDPI, vol. 16(15), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5833-:d:1211716
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    References listed on IDEAS

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    Cited by:

    1. Tiankai Yang & Jixiang Wang & Yongliang Liang & Chuan Xiang & Chao Wang, 2023. "Economic Dispatch between Distribution Grids and Virtual Power Plants under Voltage Security Constraints," Energies, MDPI, vol. 17(1), pages 1-16, December.
    2. Shuo Yin & Yang He & Zhiheng Li & Senmao Li & Peng Wang & Ziyi Chen, 2024. "A Novel Multi-Timescale Optimal Scheduling Model for a Power–Gas Mutual Transformation Virtual Power Plant with Power-to-Gas Conversion and Comprehensive Demand Response," Energies, MDPI, vol. 17(15), pages 1-19, August.

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