Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading

Ezeokafor, Chinweike; Harsh, Pratik; Sun, Hongjian

Abstract

Efficient scheduling of the sources within a community is essential to reduce the electricity-related cost as well as the carbon emissions from the community. A novel energy management strategy for community grids is introduced in this research, leveraging peer-to-peer trading and the multi-objective optimisation of the cost and carbon emissions in scheduling the diverse energy sources and battery storage systems within the community. The grid, photovoltaic farms, Combined Heat and Power plants, and battery energy storage are considered in this paper, and our approach, underpinned by real-life data analysis, is used to find effective schedules for each source. The model is implemented on MATLAB and solved using the YALMIP optimisation toolbox to obtain optimal scheduling of the sources. An operation cost savings of up to 6 2. 5 % is achieved in a range of scenarios, highlighting the importance of optimal source scheduling in smart grids.

Citation

Ezeokafor, C., Harsh, P., & Sun, H. (2024, November). Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading. Presented at IEEE PES Australasian Universities Power Engineering Conference (AUPEC), Sydney, Australia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE PES Australasian Universities Power Engineering Conference (AUPEC)
• Start Date: Nov 20, 2024
• End Date: Nov 24, 2024
• Acceptance Date: Sep 30, 2024
• Online Publication Date: Dec 25, 2024
• Publication Date: Dec 25, 2024
• Deposit Date: Dec 12, 2024
• Publicly Available Date: Dec 25, 2024
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/AUPEC62273.2024.10807533
• Keywords: Index Terms-Energy Management System; Multi-objective Optimisation; Pareto Optimisation; Smart grid
• Public URL: https://durham-repository.worktribe.com/output/3216515
• Publisher URL: https://attend.ieee.org/aupec/