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Sensitivity of prediction error on the performance of a preventive controller for microgrids

Shoeb, M.A.ORCID: 0000-0002-6653-107X, Shahnia, F.ORCID: 0000-0002-8434-0525, Shafiullah, GM.ORCID: 0000-0002-2211-184X and Su, X. (2019) Sensitivity of prediction error on the performance of a preventive controller for microgrids. In: IEEE International Conference on Industrial Technology (ICIT) 2019, 13-15 Feb. 2019, Melbourne, Australia

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An autonomous microgrid is susceptible to the uncertainties in the variations of its demand and the generation of its non-dispatchable renewable sources. Such events can result in the voltage or frequency of the microgrid to exceed beyond their allowed ranges. Some methods are proposed in the literature to predict such events a few minutes ahead. As such, the voltage and frequency violation of a microgrid can be predicted and prevented with the introduction of an appropriately designed preventive controller. The key factor to be considered is the accuracy of the prediction tools, based on which the preventive controller is designed. This paper proposes a look-ahead controller that is complemented by considering various scenarios, as the result of considering the prediction inaccuracies and their probabilities. The sensitivity of the performance of such a preventive controller with respect to the prediction error is also studied in this paper through extensive numerical analyses in MATLAB.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Engineering and Information Technology
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