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Stochastic Procurement of Fast Reserve Services in Renewable Integrated Power Systems

Lookup NU author(s): Dr Vahid VahidinasabORCiD, Dr Adib Allahham, Professor Damian Giaouris



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Ensuring the security and quality of supply in a power system after a contingency event is one of the most challenging tasks of an electricity system operator. This work deals with this issue and proposes a solution based on the use of provided reserves by fast generators, storage devices, and wind farms. A coordinated model is proposed in a joint energy and reserves market considering their corresponding cost to ensure the adequacy in the simultaneous deployment of reserves for the different sources of uncertainties. The Benders decomposition approach is used in the modeling of the stochastic security-constrained unit commitment, and acceleration techniques are suggested to reduce the execution time. The proposed model is tested on the 6-bus and the IEEE 118-bus test systems. Numerical results show that the optimal values of reserves successfully address contingencies in the critical and normal periods after the contingencies and the optimal solution is calculated in reasonable computing time

Publication metadata

Author(s): Habibi M, Vahidinasab V, Sepasian MS, Allahham A, Giaouris D, Taylor P, Aghaei J

Publication type: Article

Publication status: Published

Journal: IEEE access

Year: 2021

Volume: 9

Pages: 30946-30959

Online publication date: 11/02/2021

Acceptance date: 05/02/2021

Date deposited: 21/02/2021

ISSN (electronic): 2169-3536

Publisher: IEEE


DOI: 10.1109/ACCESS.2021.3058774


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