DocumentCode :
3665593
Title :
Wind aggregation via risky power markets
Author :
Yue Zhao; Junjie Qin;Ram Rajagopal;Andrea Goldsmith;H. Vincent Poor
Author_Institution :
Electrical and Computer Engineering, Stony Brook University, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Aggregation of diverse wind power sources can effectively reduce their uncertainty, and hence the cost of wind energy integration. A risky power contract is proposed, by which wind power producers (WPPs) can trade uncertain future power for efficient wind aggregation. A two-settlement market with both the risky power contract and a conventional firm power contract is shown to have a unique competitive equilibrium (CE), characterized in closed form. The marginal contribution and diversity contribution of each WPP to the group of all WPPs are fairly reflected in the profit earned by this WPP at the CE. Moreover, the CE achieves the same total profit as achieved by a grand coalition of WPPs. In a coalitional game setting, the profit allocation induced by the CE is always in the core, and is achieved via a non-cooperative risky power market. The benefits of the risky power market are demonstrated using wind generation and locational marginal price data for ten WPPs in the PJM interconnection.
Keywords :
"Power markets","Wind power generation","Contracts","Random access memory","Computers","Uncertainty","Wind energy integration"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7286048
Filename :
7286048
Link To Document :
بازگشت