DocumentCode :
267606
Title :
Operational strategies for predictive dispatch of control reserves in view of stochastic generation
Author :
Delikaraoglou, Stefanos ; Heussen, Kai ; Pinson, Pierre
Author_Institution :
Tech. Univ. of Denmark, Lyngby, Denmark
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
1
Lastpage :
7
Abstract :
In view of the predictability and stochasticity of wind power generation, transmission system operators (TSOs) can benefit from predictive dispatch of slow and manual control reserves in order to maintain reactive reserve levels for unpredictable events. While scenario-based approaches for stochastic optimization are well suited for this problem, it appears that TSOs are hesitant in adopting this method into their practice of predictive dispatch. Differences in the formulation of constraints and cost functions, the timing and reserve product constraints influence the dispatch result significantly and yield varying results with different practical implications. To support adoption, there is a need to study relevant parameters and trade-offs to be considered in introducing such methods to operation practice, enabling also the investigation of alternate reserve product constraints, e.g., to enable reserve contribution from storage-constrained units. This paper introduces a framework for comparison of operational strategies for system balancing, proposes criteria for performance assessment and exemplifies a systematic evaluation of several operation strategies.
Keywords :
load dispatching; optimisation; power generation control; power transmission control; predictive control; stochastic processes; wind power plants; TSO; control reserves; cost functions; operational strategies; predictive dispatch; reserve product constraints; stochastic generation; stochastic optimization; storage-constrained units; system balancing; transmission system operators; wind power generation; Power systems; Stochastic processes; Uncertainty; Vectors; Wind farms; Wind forecasting; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
Type :
conf
DOI :
10.1109/PSCC.2014.7038417
Filename :
7038417
Link To Document :
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