Virtual Power Plant Optimization Scheduling Considering Large-Scale New Energy Connected to the Grid

In the context of the current "dual-carbon" strategy, large-scale acquisition of new energy sources will greatly impact the actual power grid due to the intermittent and uncertain nature of wind and solar energy. This paper proposed a virtual power plant (VPP) optimization scheduling consi...

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Bibliographic Details
Published in2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) pp. 650 - 655
Main Authors Zhao, Zhiyuan, Kong, Xiangyu, Zhang, Delong, Zhang, Peirong, Zhu, Jingkai, Zheng, Qingrong
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.07.2024
Subjects
new energy sources
Optimal scheduling
Power grids
Profitability
Real-time systems
Solar energy
Systems simulation
Uncertainty
virtual power plant
Virtual power plants
Wind
Wind energy
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Summary:In the context of the current "dual-carbon" strategy, large-scale acquisition of new energy sources will greatly impact the actual power grid due to the intermittent and uncertain nature of wind and solar energy. This paper proposed a virtual power plant (VPP) optimization scheduling considering large-scale new energy connected to the power grid. Firstly, an optimal scheduling scheme for real-time balancing of VPP is established. Then, considering the power deviation compensation mechanism with the objective function of maximizing the expected net profit of the VPPs, an optimal scheduling method is obtained, which deals with the uncertainties brought by new energy and reduces the cost of deviation penalties. The proposed method reduces the bidding deviation penalties by considering the compensation mechanism for the intra-day deviation. The example results show that the model proposed in this paper improves the expected profit of the virtual power plant to a certain extent.
DOI:10.1109/CCSSTA62096.2024.10691760