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Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration

Harsh, Pratik; Sun, Hongjian; Awagan, Goyal; Jiang, Jing

Authors

Profile image of Pratik Harsh

Pratik Harsh pratik.harsh@durham.ac.uk
Postdoctoral Research Associate

Goyal Awagan

Jing Jiang



Abstract

Virtual power plants (VPPs) are increasingly utilized to efficiently coordinate and manage the increasing number of distributed energy resources (DERs) within power grids. Traditionally, VPP models have prioritized commercial or financial objectives, often overlooking the technical limitations inherent in the distribution system. A technical VPP (TVPP) operational framework is proposed in this work to enhance the scheduling efficiency of various DERs participating in a day-ahead energy market while considering grid management limitations. This paper presents the formulation of the optimal operation of TVPP within a reconfigurable distribution network as a non-linear optimization problem. An incentive-based demand response model has been incorporated into the TVPP scheduling operation to mitigate energy reliance on the utility grid during peak demand periods. The proposed work is analyzed using a TVPP that aggregates solar and wind energy sources, energy storage systems, and consumers with flexible loads, all connected at various nodes of a 33-bus radial distribution network. The outcome of the TVPP scheduling operation confirms the reduction in power loss, bus voltage variation, and grid power variance by 29.18%, 26.54%, and 36.80%, respectively.

Citation

Harsh, P., Sun, H., Awagan, G., & Jiang, J. (2024, November). Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration. Presented at IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, USA

Presentation Conference Type Conference Paper (published)
Conference Name IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
Start Date Nov 3, 2024
End Date Nov 6, 2024
Acceptance Date Nov 3, 2024
Online Publication Date Mar 10, 2025
Publication Date Nov 3, 2024
Deposit Date Mar 14, 2025
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 1-6
Book Title IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
DOI https://doi.org/10.1109/iecon55916.2024.10905688
Public URL https://durham-repository.worktribe.com/output/3708694