Probabilistic Small Signal Stability Analysis of Autonomous Wind-Diesel Microgrid

Krismanto, Awan Uji and Mithulananathan, Nadarajah (2017) Probabilistic Small Signal Stability Analysis of Autonomous Wind-Diesel Microgrid. ieee. ISSN 2155-6822

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Abstract

Probabilistic analysis of small signal stability analysis of a Hybrid Microgrid (MG) consists of two Wind Energy Conversion System (WECS) and one Diesel Engine (DE) is presented. As wind speed varied, active power output from WECS based distributed generator (DG) changed proportionally. The fluctuation of power contribution from each DG units significantly affects the oscillatory stability in MG. Therefore, to manage the uncertain condition of wind speed, a conventional droop control method should be modified. In this paper, the modified droop control method is employed to observe the small signal stability performance of hybrid MG under wind speed uncertainty. Probabilistic small signal stability of the MG system when the WECS based DG units were subjected to the same and different wind speed regimes were investigated using Monte Carlo (MC) method. Statistical analysis of the critical eigenvalues trajectories, damping ratio and oscillatory frequency are thoroughly analysed and presented. It was observed that at a higher wind speed variation, the small signal stability performance of MG deteriorated severely. Moreover, it was also monitored that when each of WECS was subjected to distinct wind speed, the system stability declines considerably, compared to when same wind speed regime was applied on each of those WECS based DG units.

Item Type:	Article
Uncontrolled Keywords:	Microgrid, uncertainty, probabilistic, small signal stability.
Subjects:	Engineering > Electrical Engineering
Divisions:	Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User:	Tasya Debbie Astia
Date Deposited:	29 Mar 2019 03:02
Last Modified:	29 Mar 2019 03:02
URI:	http://eprints.itn.ac.id/id/eprint/3206

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