DocumentCode :
3604544
Title :
Wind Power Dispatch Margin for Flexible Energy and Reserve Scheduling With Increased Wind Generation
Author :
Hedayati-Mehdiabadi, Mojgan ; Junshan Zhang ; Hedman, Kory W.
Author_Institution :
Sch. of Electr., Comput., & Energy Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
6
Issue :
4
fYear :
2015
Firstpage :
1543
Lastpage :
1552
Abstract :
With the significant penetration of wind generation, the variability and uncertainty of wind energy poses new challenges to power system operations. In particular, more rapid reserve is required, which may result in the scarcity of balancing services. With the increasing penetration of renewable generation, it is envisaged that renewable resources will be required to partake in the system balancing tasks. In this paper, a combined flexible dispatch and reserve scheduling policy is proposed by determining a flexible wind dispatch margin. In order to provide a flexible dispatch margin, wind generators underschedule in the hour-ahead energy market, so as to hold some expected output for reserves. Additional wind energy is then available for mitigating forecast errors and other system uncertainties. This paper presents a framework to find the optimal policy to incorporate the flexible wind dispatch margin into the hour-ahead market. A finite-state Markov chain wind power forecast model, based on spatio-temporal analysis, is utilized. The presented framework is used to find the appropriate level of wind dispatch margin. The proposed approach is tested and the wind generation data are used to analyze the effectiveness of the presented model in coping with forecast errors and achieving a more secure system operation.
Keywords :
Markov processes; power generation dispatch; power generation scheduling; power markets; wind power; balancing services; combined flexible dispatch; finite-state Markov chain wind power forecast model; flexible wind dispatch margin; forecast errors; hour-ahead energy market; power system operations; rapid reserve; renewable resources; reserve scheduling policy; spatio-temporal analysis; system balancing tasks; wind energy; wind generation; wind generators; Power generation dispatch; Power generation economics; Power system reliability; Wind energy generation; Wind forecasting; Wind power generation; Economic dispatch; power generation economics; power system reliability; reserve scheduling; stochastic optimization; wind generation integration;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2015.2455552
Filename :
7202870
Link To Document :
بازگشت