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Stochastic models in risk-based assessment of reserve requirements for a power system with high wind power generation


Negnevitsky, M and Nguyen, DH and Piekutowski, M, Stochastic models in risk-based assessment of reserve requirements for a power system with high wind power generation, Proceedings of the 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management (SMRLO 2016), 15-18 February 2016, Beer Sheva, Israel, pp. 136-143. ISBN 978-1-4673-9941-8 (2016) [Refereed Conference Paper]


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Copyright 2016 IEEE

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DOI: doi:10.1109/SMRLO.2016.32


The increasing role of wind power generation has created new challenges in power system planning and operation. Uncertainty of wind energy may lead to significant load-generation imbalances resulting in large frequency deviations, and hence increase system operation risk. Large wind penetration may also deteriorate the system primary frequency response due to its limited contribution to both system inertia and frequency control under the current practice of determining primary reserve. This paper proposes a risk-based approach to the adequacy assessment of primary frequency response. It can also assist in determining primary reserves requirements for a power system with significant penetration of wind power generation. A simplified dynamic model of frequency taking into account the system inertia and frequency control services is developed for fast evaluation of operational risks due to inadequate frequency response without performing dynamic simulations.

Item Details

Item Type:Refereed Conference Paper
Keywords:primary frequency response, reserve requirements, risk assessment, wind power generation
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Nguyen, DH (Mr Dinh Nguyen)
ID Code:114450
Year Published:2016
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2017-02-15
Last Modified:2017-11-06
Downloads:172 View Download Statistics

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