DocumentCode :
1331432
Title :
Short-Term Operation Model and Risk Management for Wind Power Penetrated System in Electricity Market
Author :
Li, Xiaohu ; Jiang, Chuanwen
Author_Institution :
Electr. Eng. Dept., Shanghai Jiaotong Univ., Shanghai, China
Volume :
26
Issue :
2
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
932
Lastpage :
939
Abstract :
In view of the uncertainty and intermittency of wind power, this paper proposes an optimal economical dispatch (ED) model and develops a method to estimate risk and manage hybrid power systems (traditional + wind power systems) for the short-term (24 h) operations. The model and the method have taken into account the large wind power penetration and the wind variability. The particle swarm optimization (PSO) algorithm with constraints is applied to solve the ED problem. Value at risk (VaR) and integrated risk management (IRM) are used separately to assess the risk, so that an optimal tradeoff between the profit and risk is made for the system operations. The model and the method are tested on the standard IEEE 30-bus power system and network in Shanghai. The validity of the model and the method has been approved.
Keywords :
hybrid power systems; particle swarm optimisation; power generation dispatch; power generation economics; power markets; risk management; Shanghai; electricity market; hybrid power systems; integrated risk management; optimal economical dispatch model; particle swarm optimization; short-term operation model; standard IEEE 30-bus power system; time 24 h; wind power penetrated system; Biological system modeling; Generators; Mathematical model; Risk management; Wind forecasting; Wind power generation; Wind speed; Particle swarm optimization; risk assessment; short-term operation; wind power;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2010.2070882
Filename :
5582176
Link To Document :
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