Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks

Garg;, Ankita; Aujla, Gagangeet; Sun, Hongjian

Abstract

With the high penetration of distributed energy resources (DERs), distribution networks have become more prone to uncertainties associated with renewable energy sources (RESs). If not handled judiciously, these uncertainties may lead to interruption in power supply and even failure of the entire power system in the long run. In this paper, a Bayesian Network (BN) approach is used to find the hidden inter-dependencies among the various weather parameters and how these affect renewable energy generation. A heuristic algorithm is then proposed to identify the root-cause of the uncertainty which increases the overall grid dependency and thereby, tackling its associated carbon emissions. To check the efficacy of the proposed approach, the effect of data uncertainty in the distribution network with DERs penetration in nine different regions of England is discussed. Furthermore, a case-study of a residential area of Newcastle upon Tyne is discussed in detail to back-trace the root-cause of the fault that occurred in one of the DERs.

Citation

Garg;, A., Aujla, G., & Sun, H. (2023, October). Analyzing Impact of Data Uncertainty in Distributed Energy Resources using Bayesian Networks. Presented at 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
• Start Date: Oct 31, 2023
• End Date: Nov 3, 2023
• Acceptance Date: Sep 29, 2023
• Online Publication Date: Dec 6, 2023
• Publication Date: Dec 6, 2023
• Deposit Date: Dec 19, 2023
• Publicly Available Date: Dec 19, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2373-6836
• Book Title: 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
• ISBN: 9781665455572
• DOI: https://doi.org/10.1109/SmartGridComm57358.2023.10333956
• Public URL: https://durham-repository.worktribe.com/output/2047978