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. (2020) An effective power dispatch strategy for clustered micro-grids while implementing optimal energy management and power sharing control using power line communication. IEEE Transactions on Industry Applications, 56 (4):9088278. pp. 4258-4271. ISSN 0093-9994


Abstract

The mitigation of uncertainty in the availability of power generation from microgrids 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 article proposes an effective power dispatch strategy for clustered microgrids. The developed hybrid algorithm implements optimal energy management and power sharing control using binary data. The 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, whereas the other actuates the dynamic-demand-response-based photovoltaic power forecasting. The performance of the proposed approach with the formulated backup injection index 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. It was also found that the binary signal can be transferred with less distortion through PLC networks when using the FSK technique compared to other techniques.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2020 IEEE.
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: 31 Aug 2020 04:55
Last Modified: 31 Aug 2020 05:15
Uncontrolled Keywords: battery storage; clustered microgrids; demand response; energy management; photovoltaic (PV) power forecasting.
Fields of Research (2008): 10 Technology > 1099 Other Technology > 109999 Technology not elsewhere classified
09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
Fields of Research (2020): 40 ENGINEERING > 4006 Communications engineering > 400699 Communications engineering not elsewhere classified
40 ENGINEERING > 4008 Electrical engineering > 400899 Electrical engineering not elsewhere classified
Socio-Economic Objectives (2008): B Economic Development > 85 Energy > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy
B Economic Development > 85 Energy > 8506 Energy Storage, Distribution and Supply > 850699 Energy Storage, Distribution and Supply not elsewhere classified
B Economic Development > 85 Energy > 8505 Renewable Energy > 850503 Hydro-Electric Energy
Identification Number or DOI: https://doi.org/10.1109/TIA.2020.2992974
URI: http://eprints.usq.edu.au/id/eprint/39142

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