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 journalArticle

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

Fingerprint

Energy storage
Linearization
Outages
Decomposition
Economics

ASJC Scopus subject areas

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

Cite this

Incorporating energy storage into probabilistic security-constrained unit commitment. / Guerrero-Mestre, Victoria; Dvorkin, Yury; Fernández-Blanco, Ricardo; Ortega-Vazquez, Miguel A.; Contreras, Javier.

In: IET Generation, Transmission and Distribution, Vol. 12, No. 18, 16.10.2018, p. 4206-4215.

Research output: Contribution to journalArticle

Guerrero-Mestre, Victoria ; Dvorkin, Yury ; Fernández-Blanco, Ricardo ; Ortega-Vazquez, Miguel A. ; Contreras, Javier. / Incorporating energy storage into probabilistic security-constrained unit commitment. In: IET Generation, Transmission and Distribution. 2018 ; Vol. 12, No. 18. pp. 4206-4215.
@article{526afcf66121457f9af82aa9b44fad59,
title = "Incorporating energy storage into probabilistic security-constrained unit commitment",
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.",
author = "Victoria Guerrero-Mestre and Yury Dvorkin and Ricardo Fern{\'a}ndez-Blanco and Ortega-Vazquez, {Miguel A.} and Javier Contreras",
year = "2018",
month = "10",
day = "16",
doi = "10.1049/iet-gtd.2018.5413",
language = "English (US)",
volume = "12",
pages = "4206--4215",
journal = "IET Generation, Transmission and Distribution",
issn = "1751-8687",
publisher = "Institution of Engineering and Technology",
number = "18",

}

TY - JOUR

T1 - Incorporating energy storage into probabilistic security-constrained unit commitment

AU - Guerrero-Mestre, Victoria

AU - Dvorkin, Yury

AU - Fernández-Blanco, Ricardo

AU - Ortega-Vazquez, Miguel A.

AU - Contreras, Javier

PY - 2018/10/16

Y1 - 2018/10/16

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85054361127&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054361127&partnerID=8YFLogxK

U2 - 10.1049/iet-gtd.2018.5413

DO - 10.1049/iet-gtd.2018.5413

M3 - Article

VL - 12

SP - 4206

EP - 4215

JO - IET Generation, Transmission and Distribution

JF - IET Generation, Transmission and Distribution

SN - 1751-8687

IS - 18

ER -