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

Yetuo Tan, Yongming Zhi, Zhengbin Luo, Honggang Fan (), Jun Wan and Tao Zhang
Additional contact information
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

Energies, 2023, vol. 16, issue 15, 1-14

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.

Keywords: virtual power plant (VPP); flexibility margin; demand response; uncertainties; integrated energy system; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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