Cruz Victorio, M. E. and Kazemtabrizi, B. and Shahbazi, M. (2020) 'Distributed real-time power management in microgrids using multi-agent control with provisions of fault tolerance.', in 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) : proceedings. Piscataway, NJ: IEEE, pp. 108-113.
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 Markov Chain Monte Carlo algorithm. A backup mechanism for main containers of the agent platform is implemented to improve fault tolerance of the control system, addressing the single point of failure problem at the hardware and software levels. The Multi-Agent system developed in JAVA and run with Raspberry Pi controls a simulated microgrid in an OPAL-RT real-time simulator to test the accuracy of the estimation method, the capacity of the control to realise power management at minimal supply cost, and uninterrupted operation in case of container faults.
|Item Type:||Book chapter|
|Full text:||(AM) Accepted Manuscript|
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|Publisher Web site:||https://doi.org/10.1109/ISIE45063.2020.9152548|
|Publisher statement:||© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Date accepted:||27 April 2020|
|Date deposited:||26 May 2020|
|Date of first online publication:||30 July 2020|
|Date first made open access:||27 November 2020|
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