Power oscillation damping control by PSS and DFIG wind turbine under  multiple operating conditions

Korakot THANPISIT; İssarachai NGAMROO

Article Details

Power oscillation damping control by PSS and DFIG wind turbine under multiple operating conditions

Authors:

Korakot THANPISIT | İssarachai NGAMROO

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 5, pp.4354-4368

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000735982

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

Multiple operating conditions in power systems including wind power sources significantly affect the damping of low frequency oscillation modes due to diverse generating and loading conditions, random wind speeds, line outage contingencies, etc. To cope with multiple operating conditions, this paper proposes the new parameter optimization technique of the power system stabilizer (PSS) and the doubly-fed induction generator (DFIG) wind turbine with the power oscillation damper (POD) based on the probability method. Different operating conditions are randomly generated by Monte Carlo simulation. Under the generated operating points, the particle swarm optimization of PSS and POD parameters is carried out to achieve the highest probability that the damping ratios of all oscillation modes are greater than the desired damping ratio for all operating points. Study results in the IEEE New England 39-bus system indicate that under the occurrence of faults, the PSS and POD optimized by the proposed method yield better stabilizing performance than the conventional PSS and POD over a wide range of operating points.

Article Details

Power oscillation damping control by PSS and DFIG wind turbine under multiple operating conditions

Authors: Korakot THANPISIT | İssarachai NGAMROO

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 5, pp.4354-4368

Document Type: Article

Publication Date: 9/2017

Document Language: Turkish

Document ID (Org No.): 2000735982

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Korakot THANPISIT | İssarachai NGAMROO

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 5, pp.4354-4368

Document Type:

Article

Publication Date:

9/2017

Document Language:

Turkish

Document ID (Org No.):

2000735982

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632