An effective power dispatch strategy for clustered micro-grids while implementing optimal energy management and power sharing control using power line communication

Haidar, Ahmed M. A. and Fakhar, Adila and Muttaqi, Kashem M. (2019) An effective power dispatch strategy for clustered micro-grids while implementing optimal energy management and power sharing control using power line communication. In: 2019 IEEE Industry Applications Society Annual Meeting, 29 Sept - 3 Oct 2019, Baltimore, USA.


Abstract

The mitigation of uncertainty in the availability of power generation from micro-grids to enable renewable resources to be dispatched is a daunting task for the individual operators. Installing energy storage systems may reduce the impact of renewable energy intermittency. However, a peculiarity in energy management can be arisen, particularly, when different energy providers manage these resources. Hence, an intelligent utilization approach should be devised to maximize the benefits of using battery energy storage, since the cost of this system is the most expensive part. This paper proposes an effective power dispatch strategy for clustered micro-grids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. Frequency shift keying (FSK) technique has been adopted for transmitting the binary signal over the power line communication (PLC). A part of the algorithm is utilized to deal with the optimal scheduling control while the other actuates the dynamic demand response based Photovoltaic (PV) power forecasting. The performance of the proposed approach has been validated using data collected from the practical network of 'Bario, Sarawak'. The presented results suggest that the implementation of the proposed strategy can improve the efficiency of the overall system, causing less operating cost and fast return.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Date Deposited: 28 Apr 2020 00:07
Last Modified: 07 May 2020 03:22
Uncontrolled Keywords: energy management, clustered micro-grids, PV power forecasting, demand response, battery storage
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
09 Engineering > 0906 Electrical and Electronic Engineering > 090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells)
09 Engineering > 0906 Electrical and Electronic Engineering > 090601 Circuits and Systems
09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/IAS.2019.8912426
URI: http://eprints.usq.edu.au/id/eprint/38594

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