Incorporating energy storage into probabilistic security-constrained unit commitment

System operators still rely on deterministic criteria such as the $N - 1$N−1 (i.e. the system would be able to withstand the outage of any single component without any load shedding) to hedge the system against contingencies. While simple and practical, this criterion miscalculates the actual amount...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2018-10, Vol.12 (18), p.4206-4215
Main Authors: Guerrero-Mestre, Victoria, Dvorkin, Yury, Fernández-Blanco, Ricardo, Ortega-Vazquez, Miguel A, Contreras, Javier
Format: Article
Language:English
Subjects:
Benders decomposition
contingency reserve procurement
decomposition
deterministic criteria
economic performance
energy storage
energy storage systems
ESS
IEEE One‐Area Reliability Test System
linearisation techniques
load shedding
multiperiod probabilistic security‐constrained unit commitment model
optimal reserve sizing
post‐contingency state analysis
post‐contingency states
power generation dispatch
power generation reliability
power generation scheduling
power system security
probabilistic UC model
probability
Research Article
suboptimal reserve procurement
transmission contingencies
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Summary:System operators still rely on deterministic criteria such as the $N - 1$N−1 (i.e. the system would be able to withstand the outage of any single component without any load shedding) to hedge the system against contingencies. While simple and practical, this criterion miscalculates the actual amount of reserve required since it ignores the probability of contingency occurrence. Therefore, this criterion may lead to suboptimal reserve procurement and economic performance of the system. This study presents a multiperiod probabilistic security-constrained unit commitment (UC) model that includes the probabilities of generation and transmission contingencies for optimal reserve sizing, sourcing, allocation, and timing. The ability of energy storage systems (ESS) to provide contingency reserve is explicitly modelled. Benders’ decomposition and linearisation techniques are applied to solve the proposed probabilistic UC, which would be intractable otherwise. The impact of ESS on the contingency reserve procurement and deployment in post-contingency states are analysed on a modified version of the IEEE One-Area Reliability Test System.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2018.5413