DocumentCode :
3581023
Title :
Joint optimal operation of wind farms and pumped storage power station
Author :
Yilin Tian ; Wei Hu ; Chengqiu Hong ; Fei Yuan ; Zonghe Gao
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Being renewable and environment-friendly, wind power generation has a promising future. However, its disadvantages in randomicity, intermittence and volatility will put stress on peak regulation and frequency modulation of power grid. A good way to solve the problem is applying energy storage technology into wind power generation. An economic dispatch model for day-ahead generation scheduling is built in this paper. Wind farms, pumped-storage and regular thermal power plants are included in this model, which also considers the inaccuracy of wind power forecast and load forecast, restriction in reliability of power grid, and operational features of pumped-storage station. Moreover, the piecewise linearization method has been used to simplify the model and make it more appropriate to lager systems. Data from Inner Mongolia are used in computer simulation. Simulating results show that pumped-storage station could be important in increasing stability, reliability and economic efficiency of power system.
Keywords :
energy storage; frequency modulation; load forecasting; piecewise linear techniques; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power grids; power system stability; pumped-storage power stations; thermal power stations; wind power plants; Mongolia; day-ahead generation scheduling; economic dispatch model; energy storage technology; load forecasting; peak regulation; piecewise linearization method; power grid frequency modulation; power grid reliability; power system economic efficiency; pumped storage power station; thermal power plant; wind farm; wind power forecasting; wind power generation; Load modeling; Power system reliability; Reliability; Reservoirs; Spinning; Wind power generation; Energy management; Energy storage; Optimization; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2014.7066039
Filename :
7066039
Link To Document :
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