Electricity-carbon Joint Distributed Trading for Multi-type Buildings Based on Distributional Robust Chance Constraint

被引：0
|
作者：
Sun G. [1 ]
Chen X. [1 ]
Zhou Y. [1 ]
Chen S. [1 ]
Wei Z. [1 ]
Wang S. [2 ]
机构：
[1] College of Energy and Electrical Engineering, Hohai University, Jiangsu Province, Nanjing
[2] Jiangsu Collaborative Innovation Center for Smart Distribution Network, Jiangsu Province, Nanjing
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 08期
基金：
中国国家自然科学基金;
关键词：
alternating direction method of multiplies; asymmetric Nash bargaining; distributional robust chance constraint; electricity-carbon trading; smart building;
D O I：
10.13335/j.1000-3673.pst.2022.2367
中图分类号：
学科分类号：
摘要：
To realize the low-carbon economic scheduling of buildings，this paper proposes an electricity-carbon emission right joint distributed trading method for the multi-type buildings based on the distributional robust chance constraint considering the PV uncertainty. Firstly,,considering the operational characteristics of three different types of buildings, an electricity-carbon trading model is established for the multi-type buildings to realize electricity and carbon emission right sharing. Secondly, the distributional robust chance constraint is used to deal with the PV uncertainty of the buildings. A moment information-based electricity-carbon distributional robust model is constructed. Then, the proposed model is transformed into an tractable second-order cone program based on the conditional value-at-risk and the duality theory. Next, the alternating direction method of multiplies is applied to realize the electricity-carbon distributed trading among the buildings, which effectively protects the internal privacy of the buildings. Finally, based on the asymmetric Nash bargaining method, a rational profit distribution method based on the building contributions is designed, where the building contributions are determined by the shared electricity and carbon emission rights. The case test shows that the proposed method is able to effectively reduce the building’s operation cost and carbon emission, achieving a fair and reasonable distribution of the building profits while taking into account the economy and reliability. © 2023 Power System Technology Press. All rights reserved.
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页码：3078 / 3087
页数：9
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