Electricity-Carbon-Reserve Peer-to-peer Trading Model for Multiple Virtual Power Plants Based on Conditional Value-at-Risk

被引：0
|
作者：
Shen S. [1 ]
Han H. [1 ]
Zhou Y. [1 ]
Sun G. [1 ]
Wei Z. [1 ]
Hu G. [2 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing
[2] Economic and Technology Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 18期
基金：
中国国家自然科学基金;
关键词：
alternating direction method of multiplies; carbon trading; conditional value-at-risk; peer-to-peer trading; virtual power plant;
D O I：
10.7500/AEPS20220330002
中图分类号：
学科分类号：
摘要：
With the large-scale access of massive, decentralized and diverse distributed resources, the virtual power plant (VPP) technology has become an effective method of unified management and efficient regulation for demand-side resources. In order to explore a new mode of VPP multi-variety trading, a multi-VPP electricity-carbon-reserve peer-to-peer (P2P) trading model is proposed, and the conditional value-at-risk theory is used to quantify the potential risks brought by the randomness of renewable energy. Firstly, a VPP aggregation model including photovoltaic units, fuel cells, energy storage, central air conditioning and flexible load is established, and a multi-VPP electricity-carbon-reserve P2P trading method is proposed to realize the interactive sharing of energy, carbon emission and reserve resources. Secondly, a VPP trading model based on the conditional value-at-risk is established to realize the risk measurement of photovoltaic output uncertainty in the VPP. Thirdly, the consensus-based adaptive step size alternating direction method of multipliers is used to solve the constructed model efficiently. Finally, through an example, it is verified that the electricity-carbon-reserve P2P trading mechanism for multiple VPPs can encourage VPPs to participate in the sharing of various resources, while increase their own benefits and social welfare. Conditional value-at-risk also provides an effective decision reference for the trade-off of profit and risk in VPP. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：147 / 157
页数：10
相关论文
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