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

Article


Haidar, Ahmed M. A., 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), pp. 4258-4271. https://doi.org/10.1109/TIA.2020.2992974
Article Title

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

ERA Journal ID4453
Article CategoryArticle
AuthorsHaidar, Ahmed M. A. (Author), Fakhar, Adila (Author) and Muttaqi, Kashem M. (Author)
Journal TitleIEEE Transactions on Industry Applications
Journal Citation56 (4), pp. 4258-4271
Article Number9088278
Number of Pages14
Year2020
PublisherIEEE (Institute of Electrical and Electronics Engineers)
ISSN0093-9994
1939-9367
Digital Object Identifier (DOI)https://doi.org/10.1109/TIA.2020.2992974
Web Address (URL)https://ieeexplore.ieee.org/abstract/document/9088278
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.

Keywordsbattery storage; clustered microgrids; demand response; energy management; photovoltaic (PV) power forecasting.
ANZSRC Field of Research 2020400699. Communications engineering not elsewhere classified
400899. Electrical engineering not elsewhere classified
Public Notes

© 2020 IEEE.

Byline AffiliationsUniversity of Malaysia, Sarawak, Malaysia
University of Wollongong
Institution of OriginUniversity of Southern Queensland
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