DocumentCode :
647801
Title :
Computation of dynamic operating balancing reserve for wind power integration for the time-horizon 1–48 hours
Author :
Menemenlis, Nickie ; Huneault, Maurice ; Robitaille, Andre
Author_Institution :
IREQ, Hydro-Quebec, Montreal, QC, Canada
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. A challenge now facing utilities is how to adjust reserves in the operations-planning horizon of 0 to 48 hours ahead to mitigate the effects of wind variability and forecast uncertainties, in addition to those of load uncertainties and unavailability of generation. Reserves are maintained to ensure a high level of reliability and security to the system. They are subdivided into two groups: those responding within an intra-hourly time horizon to regulate power imbalances, and those responding over a 1-48 hours ahead time horizon addressing the net forecast uncertainties. In this paper, we present a methodology for calculating reserves in the latter category, referred to as balancing reserves (BRs), following the integration of wind generation in a power system. Their computation is based on maintaining a predefined level of risk. The novelty here is that wind forecast error distributions are adjusted as a function of wind generation forecast levels. Gamma-like distributions with time-varying parameters, estimated from real data, were chosen to approximate the wind generation forecast errors. It is shown that this improved modeling significantly modifies the values of required balancing reserves and associated risk. The methodology developed is based on a clear criterion, namely risk, and it demonstrates the imperativeness of considering dynamic balancing reserves as a function of the imminent wind generation forecast.
Keywords :
gamma distribution; power generation planning; power generation reliability; power system security; time-varying systems; wind power; balancing reserves; dynamic operating balancing reserve; gamma like distributions; load uncertainties; operations planning horizon; power imbalances; power system; time varying parameters; wind forecast error distributions; wind generation; wind power integration; wind variability; Power system dynamics; Power system reliability; Reliability; Security; Uncertainty; Wind forecasting; Wind power generation;
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.2013.6672338
Filename :
6672338
Link To Document :
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