All Outputs (5)

Real-time resilient Microgrid power management based on multi-agent systems with price forecast (2022)
Journal Article
Cruz-Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2023). Real-time resilient Microgrid power management based on multi-agent systems with price forecast. IET Smart Grid, 6(2), 190-204. https://doi.org/10.1049/stg2.12089

Microgrids have emerged to diversify conventional electric generation using small-scale distributed generation. Large efforts have been put into designing control strategies to optimise the power schedules of microgrids, however, verification that su... Read More about Real-time resilient Microgrid power management based on multi-agent systems with price forecast.

Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control (2022)
Journal Article
Cruz Victorio, M. E., Kazemtabrizi, B., & Shahbazi, M. (2022). Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control. IET Smart Grid, 5(5), 347-362. https://doi.org/10.1049/stg2.12073

With the increasing needs to decarbonise existing energy systems, there is an effort to integrate small-scale distributed generation sources, such as wind generators, with the electric demand in circuits known as microgrids. The operation of distribu... Read More about Statistical Evaluation of Wind Speed Forecast Models for Microgrid Distributed Control.

Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems
Presentation / Conference Contribution
Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2023, June). Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems. Presented at 14th IEEE PES PowerTech Conference, Madrid, Spain

Multi-Agent systems offer a way to control distributed generation in microgrids, reliability and cost minimisation capabilities can be improved by price forecast methodologies that can be deployed without the need of external control signals. This pa... Read More about Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems.

Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance
Presentation / Conference Contribution
Cruz Victorio, M., Kazemtabrizi, B., & Shahbazi, M. (2020, June). Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance. Presented at 29th IEEE International Symposium on Industrial Electronics, Delft, Netherlands

This paper presents a distributed real-time control scheme based on multi-agent systems for cost optimisation of a micro-grid using real-time dynamic price estimation. The real-time prices are forecast using realistic UK energy price data via a Marko... Read More about Distributed Real-Time Power Management in Microgrids using Multi-agent Control with Provisions of Fault Tolerance.

Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control
Presentation / Conference Contribution
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

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... Read More about Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control.