Probabilistic Small Signal Stability Analysis of Autonomous Wind-Diesel Microgrid
| Main Authors: | Krismanto, Awan Uji, Mithulananathan, Nadarajah |
|---|---|
| Format: | Article PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
IEEE
, 2017
|
| Subjects: | |
| Online Access: |
http://eprints.itn.ac.id/3206/1/08378359.pdf http://eprints.itn.ac.id/3206/ |
Daftar Isi:
- 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.