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Experimental prototyping of synthetic inertial system for the improvement in frequency deflection
Author(s) -
Bhowmik Pritam,
Rout Pravat Kumar
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.1589
Subject(s) - inertia , inertial frame of reference , computer science , sensitivity (control systems) , control theory (sociology) , virtual prototyping , power (physics) , deflection (physics) , engineering , control engineering , electronic engineering , simulation , physics , control (management) , optics , classical mechanics , quantum mechanics , artificial intelligence
Trends of incorporating distributed renewable energy sources into the power distribution network through power electronic mediums have substantially increased. It results in a decaying inertial response and, consequently, the natural damping. Eventually, the distribution network is increasingly becoming sensitive towards the uncertainties. The increasing sensitivity issue in the power system drives the present research trends towards a solution termed virtual synchronous generator (VSG). A VSG has the potentiality to mimic the characteristics of a physical synchronous generator (SG). In this study, to expose the suppressed potentiality of a VSG, an innovative concept of virtual gyratory mass is proposed. To achieve a satisfactory performance, the model parameters of the VSG have to be well chosen. Conventionally, optimal parameters are selected by comparing it with a physical SG and thus, it remains constant in its operational period. However, the constant inertial VSG cannot suppress the system sensitivity under the random degree of uncertainty. Therefore, to ride through this issue, the concept of dynamic damping co‐efficient is introduced in this study. The damping coefficient is tuned in real‐time through the proposed fuzzy tuned dynamic synthetic inertia mechanism. The improvement in the performance is validated in the real‐time experimental prototype setup.

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