DocumentCode :
73259
Title :
Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power
Author :
Yi Ding ; Singh, Chaman ; Goel, Lavika ; Østergaard, J. ; Peng Wang
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
Volume :
5
Issue :
3
fYear :
2014
fDate :
Jul-14
Firstpage :
896
Lastpage :
906
Abstract :
The expanding share of the fluctuating and less predictable wind power generation can introduce complexities in power system reliability evaluation and management. This entails a need for the system operator to assess the system status more accurately for securing real-time balancing. The existing reliability evaluation techniques for power systems are well developed. These techniques are more focused on steady-state (time-independent) reliability evaluation and have been successfully applied in power system planning and expansion. In the operational phase, however, they may be too rough an approximation of the time-varying behavior of power systems with high penetration of wind power. This paper proposes a time-varying reliability assessment technique. Time-varying reliability models for wind farms, conventional generating units, and rapid start-up generating units are developed and represented as the corresponding universal generating functions (UGFs), respectively. A multistate model for a hybrid generation and reserve provider is also proposed based on the developed UGF representations of wind farms, conventional generating units, and rapid start-up generating units. The proposed technique provides a useful tool for the system operator to evaluate the reliability and arrange reserve for maintaining secure system operation in the short- as well as medium-terms.
Keywords :
approximation theory; power generation planning; power generation reliability; power system management; power system security; wind power plants; UGF; conventional generating units; high wind power penetration; medium-term power system reliability evaluation; multistate model; power system expansion; power system management; power system planning; predictable wind power generation; rapid start-up generating units; short-term power system reliability evaluation; steady-state reliability evaluation; time-varying behavior approximation; time-varying reliability assessment technique; universal generating functions; wind farms; Markov processes; Power system reliability; Reliability; Wind farms; Wind power generation; Wind speed; Medium-term; random process; reliability; short-term; universal generating function (UGF); wind power;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2014.2313017
Filename :
6786427
Link To Document :
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