Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control

Cruz Victorio, M.E.; Kazemtabrizi, B.; Shahbazi, M.

Abstract

microgrid, implementing real-time generation cost minimisation. The MultiAgent control is tested against heuristic optimisation methods. It is shown that the control can reduce costs without the need of a central controller and in times of the order of milliseconds, making online optimisation possible. A test microgrid and the primary control were simulated in an OPAL-RT while the secondary control developed in Java manages the system over TCP/IP.

Citation

Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2019, December). Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control. Presented at 9th International Conference on Power and Energy Systems, Perth, Australia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 9th International Conference on Power and Energy Systems
• Start Date: Dec 10, 2019
• End Date: Dec 12, 2019
• Acceptance Date: Oct 4, 2019
• Online Publication Date: Jun 2, 2020
• Publication Date: Jan 1, 2019
• Deposit Date: Oct 21, 2019
• Publicly Available Date: Jun 3, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-6
• Book Title: 9th International Conference on Power and Energy Systems (ICPES), Perth, Australia, 2019.
• DOI: https://doi.org/10.1109/icpes47639.2019.9105639
• Public URL: https://durham-repository.worktribe.com/output/1141667