TY - GEN
T1 - Optimal contracts for wind power producers in electricity markets
AU - Bitar, E.
AU - Giani, A.
AU - Rajagopal, R.
AU - Varagnolo, D.
AU - Khargonekar, P.
AU - Poolla, K.
AU - Varaiya, P.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): 025478
Acknowledgements: Supported in part by OOF991-KAUST US LIMITED under awardnumber 025478, the UC Discovery Grant ele07-10283 under the IMPACTprogram, and NSF under Grant EECS-0925337, and the Florida EnergySystems Consortium.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2010/12
Y1 - 2010/12
N2 - This paper is focused on optimal contracts for an independent wind power producer in conventional electricity markets. Starting with a simple model of the uncertainty in the production of power from a wind turbine farm and a model for the electric energy market, we derive analytical expressions for optimal contract size and corresponding expected optimal profit. We also address problems involving overproduction penalties, cost of reserves, and utility of additional sensor information. We obtain analytical expressions for marginal profits from investing in local generation and energy storage. ©2010 IEEE.
AB - This paper is focused on optimal contracts for an independent wind power producer in conventional electricity markets. Starting with a simple model of the uncertainty in the production of power from a wind turbine farm and a model for the electric energy market, we derive analytical expressions for optimal contract size and corresponding expected optimal profit. We also address problems involving overproduction penalties, cost of reserves, and utility of additional sensor information. We obtain analytical expressions for marginal profits from investing in local generation and energy storage. ©2010 IEEE.
UR - http://hdl.handle.net/10754/599088
UR - http://ieeexplore.ieee.org/document/5717453/
UR - http://www.scopus.com/inward/record.url?scp=79953149655&partnerID=8YFLogxK
U2 - 10.1109/CDC.2010.5717453
DO - 10.1109/CDC.2010.5717453
M3 - Conference contribution
SN - 9781424477456
SP - 1919
EP - 1926
BT - 49th IEEE Conference on Decision and Control (CDC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -