DocumentCode :
1519014
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, Varennes, QC, Canada
Volume :
3
Issue :
4
fYear :
2012
Firstpage :
692
Lastpage :
702
Abstract :
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 intrahourly 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 :
load forecasting; power generation reliability; power system security; wind power; balancing reserves; dynamic operating balancing reserve; forecast uncertainties; gamma-like distributions; load uncertainties; operations-planning horizon; power imbalance regulation; power system; reliability; security; time-horizon; time-varying parameters; wind forecast error distributions; wind generation forecast; wind power integration; wind variability; Load forecasting; Power system planning; Power system reliability; Reliability; Uncertainty; Wind forecasting; Wind power generation; Balancing reserves; classification of wind forecast error; operations planning; short-term reliability; wind-power integration into large systems;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2011.2181878
Filename :
6202398
Link To Document :
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