| 引用本文: | 高源,万屹涵,赵健.基于碳灵敏度因子的社区P2P电能交易策略[J].电力自动化设备,2024,44(12):162-169. |
| GAO Yuan,WAN Yihan,ZHAO Jian.Community P2P electric energy trading strategy based on carbon sensitivity factor[J].Electric Power Automation Equipment,2024,44(12):162-169. |
|
| 摘要: |
| 为进一步提高用户侧分布式新能源的本地消纳，产消者间可开展点对点(P2P)交易并将交易电能的环境价值纳入收益来促进其低碳转型。以社区内的智能楼宇群为研究对象，提出基于碳灵敏度因子的P2P电能交易策略。通过对楼宇所交易的电能开展虚拟溯源分析确定电能不同的生产来源；建立碳灵敏度因子指标以量化不同来源电能的环境异质价值；依据提供或购买不同异质电能的贡献大小，设计非对称议价分配机制以激励低碳主体；采用自适应动态步长交替方向乘子法进行分布式求解以加快收敛速度。算例结果表明，所提电能交易策略可以有效提高分布式新能源的消纳率，降低各楼宇的用能成本，同时激励社区内部的绿色低碳转型。 |
| 关键词: P2P电能交易 异质电能 碳灵敏度因子 非对称议价 低碳转型 |
| DOI：10.16081/j.epae.202410007 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51907114) |
|
| Community P2P electric energy trading strategy based on carbon sensitivity factor |
|
GAO Yuan, WAN Yihan, ZHAO Jian
|
|
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
|
| Abstract: |
| In order to further enhance the local consumption of distributed renewable energy on the user side, the prosumers can engage in peer-to-peer(P2P) trading, and incorporate the environmental value of traded energy into the profit for promoting their low-carbon transition. A cluster of smart buildings within a community is taken as a research object, a P2P electric energy trading strategy based on the carbon sensitivity factor is proposed. Different production sources of electric energy are determined by the virtual traceability analysis of electric energy traded by the buildings. An index of carbon sensitivity factor is established to quantify the environmental heterogeneous value of electric energy from different sources. According to the contribution of providing or purchasing different heterogeneous electric energy, an asymmetric bargaining distribution mechanism is designed to incentivize low-carbon entities. The adaptive dynamic step size alternating direction method of multipliers is used for distributed solving to accelerate the convergence speed. The example results show that the proposed electric energy trading strategy can effectively enhance the consumption rate of distributed renewable energy, reduce the energy consumption cost of each building, and encourage the green and low-carbon transformation within the community. |
| Key words: P2P electric energy trading heterogeneous electric energy carbon sensitivity factor asymmetric bargaining low-carbon transition |
