DocumentCode :
648435
Title :
Price responsive demand for operating reserves and energy in electricity markets with wind power
Author :
Zhi Zhou ; Botterud, Audun
Author_Institution :
Decision & Inf. Sci. Div., Argonne Nat. Lab., Argonne, IL, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Similar to demand response for energy, operating reserve can be elastic to prices given that minimal reliability criteria are satisfied. We present a probabilistic-based framework to estimate a demand curve for operating reserves. The operating reserve is estimated accounting for uncertainties from load, thermal unit contingencies, and wind power. The resulting demand for reserves is dynamically scheduled and co-optimized with energy in the market clearing. In a case study, the framework is applied to a two-settlement electricity market with centralized unit commitment, also considering demand response for energy. We find that the proposed demand curve for operating reserves contributes to improved handling of system uncertainties and more efficient pricing of operating reserves. Price elastic demand for energy has a similar effect on dispatch flexibility and cost, but has a less significant impact on the prices for spinning reserves.
Keywords :
power generation dispatch; power generation economics; power generation reliability; power markets; pricing; wind power plants; dispatch flexibility; dynamical scheduling; electricity markets; energy market; load uncertainties; operating reserves; price elastic demand; price responsive demand; probabilistic-based framework; reliability criteria; spinning reserves; system uncertainties; thermal unit contingencies; two-settlement electricity market; wind power; Electricity supply industry; Load management; Probabilistic logic; Thermal loading; Uncertainty; Wind forecasting; Wind power generation; Demand response; electricity markets; forecast uncertainty; operating reserves; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6673017
Filename :
6673017
Link To Document :
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