Optimal Dispatch of Multi-VPP Considering Stackelberg Game and Carbon Trading

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外文摘要：With virtual power plants (VPPs) that aggregate the distributed energy resource (DER) participate in the market transaction， it is difficult for the traditional centralized optimization method to reveal the competitive relationship between different VPPs which belong to independent stakeholders。 Moreover， despite the rise of the carbon market， few researches focus on the carbon trading under multi-stakeholders。 This paper proposes a multi-VPP optimal scheduling strategy based on the Stackelberg game and carbon trading。 The Stackelberg game model， taking the operator as the leader and each VPP as the follower， pursues the maximum interests of both parties， so as to study the interaction between the pricing strategy of the operator and the energy scheduling of each VPP。 Simulation results show that the proposed strategy can flexibly coordinate the energy scheduling of multiple VPPs， and the consideration of carbon trading significantly increases the profit of operator， up to 7。25%， while mobilizing the enthusiasm of each VPP to reduce carbon emissions。

外文关键词：

Virtual power plantStackelberg gameCarbon tradingScheduling strategy

作者：

Jinye Cao、Dechang Yang

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作者单位：

China Agricultural University, Beijing, China

会议名称：

Annual Conference on Power System and Automation in Chinese Universities

会议地点：

Hangzhou(CN)

会议母体文献：

The 37th Annual Conference on Power System and Automation in Chinese Universities

页码：

826-835

出版时间：

2022

DOI：

10.1007/978-981-99-1439-5_76