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

Paper

Haidar, Ahmed M. A., 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." 2019 IEEE Industry Applications Society Annual Meeting. Baltimore, United States 29 Sep - 03 Oct 2019 United States. https://doi.org/10.1109/IAS.2019.8912426
Paper/Presentation Title

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

Presentation TypePaper
AuthorsHaidar, Ahmed M. A. (Author), Fakhar, Adila (Author) and Muttaqi, Kashem M. (Author)
Article Number8912426
Number of Pages6
Year2019
Place of PublicationUnited States
ISBN9781538645383
9781538645390
Digital Object Identifier (DOI)https://doi.org/10.1109/IAS.2019.8912426
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/8912426
Conference/Event2019 IEEE Industry Applications Society Annual Meeting
Event Details
2019 IEEE Industry Applications Society Annual Meeting
Event Date
29 Sep 2019 to end of 03 Oct 2019
Event Location
Baltimore, United States
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.

Keywordsenergy management, clustered micro-grids, PV power forecasting, demand response, battery storage
ANZSRC Field of Research 2020400799. Control engineering, mechatronics and robotics not elsewhere classified
400803. Electrical energy generation (incl. renewables, excl. photovoltaics)
400801. Circuits and systems
400899. Electrical engineering not elsewhere classified
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Byline AffiliationsSchool of Mechanical and Electrical Engineering
University of Malaysia, Sarawak, Malaysia
University of Wollongong
Institution of OriginUniversity of Southern Queensland
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