Incorporating energy storage into probabilistic security-constrained unit commitment

Victoria Guerrero-Mestre, Yury Dvorkin, Ricardo Fernández-Blanco, Miguel A. Ortega-Vazquez, Javier Contreras

Research output: Contribution to journalArticlepeer-review

Abstract

System operators still rely on deterministic criteria such as the 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.

Original languageEnglish (US)
Pages (from-to)4206-4215
Number of pages10
JournalIET Generation, Transmission and Distribution
Volume12
Issue number18
DOIs
StatePublished - Oct 16 2018

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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