DocumentCode :
744045
Title :
Planning Pumped Storage Capacity for Wind Power Integration
Author :
Ning Zhang ; Chongqing Kang ; Kirschen, Daniel S. ; Qing Xia ; Weimin Xi ; Junhui Huang ; Qian Zhang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
4
Issue :
2
fYear :
2013
fDate :
4/1/2013 12:00:00 AM
Firstpage :
393
Lastpage :
401
Abstract :
Pumped storage can provide some of the flexibility that power system operators need to balance load and generation in an uncertain environment, and thus enhance a power system´s ability to incorporate wind power. Since the process of balancing wind power involves various combinations of wind generation and loads, the amount of pumped storage capacity needed should be evaluated using a substantial number of scenarios. This paper describes a chronological production simulation platform and its application in planning pumped storage capacity for the Jiangsu (China) provincial power system. The daily dispatching of various types of units is simulated using a unit commitment module. A simulation of wind farm operation is incorporated in this module to take into account the effect of its variability on daily dispatching. A detailed cost model for thermal generating units provides an accurate estimate of the benefits of pumped storage. Simulation results clearly show how much generation cost and wind power curtailment should be expected for different amounts of pumped storage capacity. A comparison between the operating and investment costs is then used to determine the optimal pumped storage capacity. Finally, various sensitivity analyses are performed to assess the effect of key parameters on this optimal capacity.
Keywords :
power generation dispatch; power generation planning; pumped-storage power stations; wind power plants; daily dispatching; detailed cost model; investment cost; operating cost; power generation planning; pumped storage capacity; unit commitment module; wind farm operation; wind generation; wind power curtailment; wind power integration; Load modeling; Mathematical model; Planning; Power systems; Vectors; Wind farms; Wind power generation; Generation planning; power system chronological production simulation; pumped storage; thermal generation cost; unit commitment; wind power;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2012.2226067
Filename :
6392322
Link To Document :
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