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Electrical Engineering and Systems Science > Systems and Control

arXiv:2212.02318 (eess)
[Submitted on 5 Dec 2022 ]

Title: Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading

Title: 微电网中点对点能源交易的能量韧性与成本效益评估

Authors:Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula, Pratyush Chakraborty, Mayukha Pal
Abstract: Integration of distributed energy resources (DERs) at a residential level has given way to the development of a self-sufficient energy-resilient system and peer-to-peer (P2P) energy trading at a community level. Several researchers have developed models to implement energy trading in the P2P network with DERs that enables prosumers to avail cost benefits. However, the impact of DERs and P2P energy network on the system's resilience is not evaluated with a quantifiable measure. In this work, we use the percolation threshold as a measure to quantify energy resilience, which can be computed using complex network. We consider a standard IEEE-123 node test feeder integrated with renewable energy sources and partitioned into microgrids. The microgrid with the highest percolation threshold value is considered for P2P energy trading analysis. We use cooperative game theory to model the P2P energy trading so that all prosumers take part rationally. The simulation is carried out using time series data of houses with varying load profiles, solar generation, and energy storage capacities. The results show 5.81\% of total cost benefit in a year and 10.67\% improvement in the resilience of the system due to P2P energy trading.
Abstract: 分布式能源资源(DERs)在住宅层面的集成推动了自给自足的能源弹性系统的发展,并在社区层面实现了点对点(P2P)能源交易。多位研究人员已经开发了模型,以在带有DERs的P2P网络中实现能源交易,使产消者能够获得成本效益。然而,DERs和P2P能源网络对系统弹性的具体影响尚未通过可量化指标进行评估。 在这项工作中,我们使用渗流阈值作为量化能源弹性的指标,该指标可以通过复杂网络计算得出。我们考虑了一个集成可再生能源源并划分为微电网的标准IEEE-123节点测试馈线。具有最高渗流阈值的微电网被用于P2P能源交易分析。我们使用合作博弈论来建模P2P能源交易,以确保所有产消者理性参与。 仿真使用具有不同负载配置文件、太阳能发电和储能容量的房屋的时间序列数据进行。结果显示,P2P能源交易使全年总成本收益提高了5.81%,系统的弹性提升了10.67%。
Subjects: Systems and Control (eess.SY)
Cite as: arXiv:2212.02318 [eess.SY]
  (or arXiv:2212.02318v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2212.02318
arXiv-issued DOI via DataCite

Submission history

From: K Victor Sam Moses Babu [view email]
[v1] Mon, 5 Dec 2022 14:42:34 UTC (2,058 KB)
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