A Technique to Optimally Prevent the Voltage and Frequency Violation in Renewable Energy Integrated Microgrids

Md Asaduzzaman Shoeb, Farhad Shahnia (), Shafiullah Gm and Fushuan Wen
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Md Asaduzzaman Shoeb: Discipline of Engineering and Energy, Murdoch University, Perth 6150, Australia
Farhad Shahnia: Discipline of Engineering and Energy, Murdoch University, Perth 6150, Australia
Shafiullah Gm: Discipline of Engineering and Energy, Murdoch University, Perth 6150, Australia
Fushuan Wen: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2023, vol. 16, issue 15, 1-27

Abstract: A microgrid (MG) is always prone to the uncertainties of its demand variation and the generation of its non-dispatchable renewable sources when operating in islanded mode. Such variation events can lead to the voltage or frequency (VF) violation in the MG. However, there are some techniques available in the literature that can predict these events a few minutes ahead. Using such techniques, the VF violation can also be predicted and prevented with the introduction of a suitable preventive controller. Hence, this paper proposes a look-ahead controller that uses the short-horizon prediction data of demand and renewable generation to determine any prospective VF violation. If a violation is predicted, the proposed technique will aim to define the most optimal generation level of dispatchable sources, the MG’s best network configuration and the engagement level of the supportive actions, such as exchanging power with neighboring microgrids, utilizing energy storages, a demand response and renewable energy curtailment (if and when available). The technical, reliability and environmental aspects of the MG are considered within the proposed technique along with the operational cost. The determined optimal control variables are then sent to the local controllers to apply the proper arrangements in the system to retain the VF within the desired range. The performance of the developed technique is validated through extensive numerical analyses in MATLAB.

Keywords: microgrid; voltage and frequency management; optimization; preventive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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