2020/12/09 by Ullah, Md Habib, Anas Alseyat, Alseyat, Anas +2
Engineering · #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Microgrid Control and Optimization #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2012.04917
openalex publication_date 2020/12/09 · openalex created_date 2021/05/24 · openalex updated_date 2026/07/28
The rapid growth of proactive consumers with distributed power generation and\nstorage capacity, empowered by Internet of Things (IoT) devices, is\ntransforming modern power markets into an independent, flexible, and\ndistributed structure. In particular, the recent trend is peer-to-peer (P2P)\ntransactive energy systems, wherein the traditional consumers became prosumers\n(producer+consumer) and can maximize their energy utilization by sharing with\nneighbors without any conventional intermediary intervention in the\ntransactions. However, the competitive dynamic energy pricing scheme is\ninevitable in such systems to make the optimal decision. It is very challenging\nwhen the prosumers have limited access to the fellow prosumer's system\ninformation (i.e., load profile, generation, and so on). This paper presents a\nprivacy-preserving distributed dynamic pricing strategy for P2P transactive\nenergy systems in the smart grid using Fast Alternating Direction Method of\nMultipliers (F-ADMM) algorithm. The result shows that the algorithm converges\nvery fast and facilitates easy implementation. Moreover, a closed-form solution\nfor a P2P transactive energy system was presented, which accelerate the overall\ncomputation time.\n