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Microgrid modelling: A comprehensive survey
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DOI：10.1016/j.arcontrol.2018.10.010.png)
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With the advent of visions on smart grid (SG) technology, the researches in this field are growing at a steady pace. Small, controlled, and clustered units in the distribution network called Microgrids (MGs) are regarded as the best possible way to achieve SG features. Modelling, control, stability study, monitoring and protection are the main areas undergoing research in MGs. As several components are integrated together to form a MG viz. microsources (MSs), loads, storage units, power electronics (PE) converters, etc., its modelling leads to a higher order system also known as the Large-scale system. Hence, to decrease the handling burden, several modelling schemes are involved to get the reduced order models (ROMs) of MGs. This paper provides a comprehensive survey of existing MG models as well as discusses the principles behind, and their applicability. The process of stochastic and predictive modelling along with a method for classification of various modelling techniques under four categories viz. component-wise, single entity or lumped, stochastic modelling and dynamic equivalence are also presented. Further, several research challenges are suggested, where the findings on lower order reduced models obtained by the application of model order reduction (MOR) techniques and dynamic equivalence principles are also reported. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Microgrid modelling, Microsources
Model order reduction
Renewable energy, State-space models
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