Toward Integrating Distributed Energy Resources and Storage Devices in the Smart Grid
Guobin Xu, Wei Yu, David W. Griffith, Nada T. Golmie, Paul Moulema
The smart grid, as one of typical applications supported by Internet of Things, denoted as a re-engineering and a modernization of the traditional power grid, aims to provide reliable, secure, and efficient energy transmission and distribution to consumers. How to effectively integrate distributed (renewable) energy resources and storage devices to satisfy the energy service requirements of users, while minimizing the power generation and transmission cost, remains a highly pressing challenge in the smart grid. To address this challenge and assess the effectiveness of integrating distributed energy resources and storage devices, in this paper, we develop a theoretical framework to model and analyze three types of power grid systems: 1) the power grid with only bulk energy generators; 2) the power grid with distributed energy resources; and 3) the power grid with both distributed energy resources and storage devices. Based on the metrics of the power cumulative cost and the service reliability to users, we formally model and analyze the impact of integrating distributed energy resources and storage devices in the power grid. We also use the concept of network calculus, which has been traditionally used for carrying out traffic engineering in computer networks, to derive the bounds of both power supply and user demand to achieve a high service reliability to users. Through an extensive performance evaluation, our evaluation results show that integrating distributed energy resources conjointly with energy storage devices can reduce generation costs, smooth the curve of bulk power generation over time, reduce bulk power generation and power distribution losses, and provide a sustainable service reliability to users in the power grid.
, Yu, W.
, Griffith, D.
, Golmie, N.
and Moulema, P.
Toward Integrating Distributed Energy Resources and Storage Devices in the Smart Grid, IEEE Internet of Things, [online], https://doi.org/10.1109/JIOT.2016.2640563, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=920595
(Accessed November 28, 2023)