Abstract
This paper presents the small-signal stability analysis results of the simplified Taiwan Power System connected with a high-capacity wind farm of 46 MW. The q-d axis equivalent-circuit model is employed to establish the complete system model of simplified Taiwan Power System connected with the wind farm under three-phase balanced loading conditions. The eigenvalue results at the specific operating point and the time-domain simulations of the studied integrated power system under a three-phase short-circuit fault are both performed. From the eigenvalues and time-domain results, it shows that the simplified Taiwan Power System connected with the high-capacity wind farm is stable under the selected operating conditions.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE 2nd International Future Energy Electronics Conference, IFEEC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479976577 |
| DOIs | |
| Publication status | Published - 18 Dec 2015 |
| Event | 2nd IEEE International Future Energy Electronics Conference, IFEEC 2015 - Taipei, Taiwan, Province of China Duration: 1 Nov 2015 → 4 Nov 2015 |
Conference
| Conference | 2nd IEEE International Future Energy Electronics Conference, IFEEC 2015 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 1.11.15 → 4.11.15 |
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ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
Cite this
Stability evaluation of simplified Taiwan Power System connected with a large-scale offshore wind farm. / Wang, Li; Wu, Cheng Tai; Chang, Che Hao; Prokhorov, Anton V.
2015 IEEE 2nd International Future Energy Electronics Conference, IFEEC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7361389.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Stability evaluation of simplified Taiwan Power System connected with a large-scale offshore wind farm
AU - Wang, Li
AU - Wu, Cheng Tai
AU - Chang, Che Hao
AU - Prokhorov, Anton V.
PY - 2015/12/18
Y1 - 2015/12/18
N2 - This paper presents the small-signal stability analysis results of the simplified Taiwan Power System connected with a high-capacity wind farm of 46 MW. The q-d axis equivalent-circuit model is employed to establish the complete system model of simplified Taiwan Power System connected with the wind farm under three-phase balanced loading conditions. The eigenvalue results at the specific operating point and the time-domain simulations of the studied integrated power system under a three-phase short-circuit fault are both performed. From the eigenvalues and time-domain results, it shows that the simplified Taiwan Power System connected with the high-capacity wind farm is stable under the selected operating conditions.
AB - This paper presents the small-signal stability analysis results of the simplified Taiwan Power System connected with a high-capacity wind farm of 46 MW. The q-d axis equivalent-circuit model is employed to establish the complete system model of simplified Taiwan Power System connected with the wind farm under three-phase balanced loading conditions. The eigenvalue results at the specific operating point and the time-domain simulations of the studied integrated power system under a three-phase short-circuit fault are both performed. From the eigenvalues and time-domain results, it shows that the simplified Taiwan Power System connected with the high-capacity wind farm is stable under the selected operating conditions.
UR - http://www.scopus.com/inward/record.url?scp=84962360160&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962360160&partnerID=8YFLogxK
U2 - 10.1109/IFEEC.2015.7361389
DO - 10.1109/IFEEC.2015.7361389
M3 - Conference contribution
AN - SCOPUS:84962360160
BT - 2015 IEEE 2nd International Future Energy Electronics Conference, IFEEC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -