TY - JOUR
T1 - Continuous Time Multi-Stage Stochastic Unit Commitment with Storage
AU - Hreinsson, Kari
AU - Scaglione, Anna
AU - Analui, Bita
N1 - Funding Information:
Manuscript received August 31, 2018; revised January 30, 2019 and May 8, 2019; accepted June 1, 2019. Date of publication June 17, 2019; date of current version October 24, 2019. This work was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DWS1103. This paper was presented in part at the 20th Power SystemComputationConference,Dublin,Ireland,2018[1].Paperno.TPWRS- RESENTLY, uncertainty in power systems is managed by The authorsarewith theSchoolofElectrical,Computer and Energy P01336-2018.(Correspondingauthor:KariHreinsson.)scheduling reserve capacity in advance to compensate for Engineering, Arizona State University, Tempe, AZ 875706 USA (e-mail: errors in (net-)load forecasts. The vast literature dealing with kari.hreinsson@asu.edu;anna.scaglione@asu.edu;bita.analui@asu.edu). Stochastic versions of the Unit Commitment (SUC) and of athttp://ieeexplore.ieee.org.Colorversionsofoneormoreofthefiguresinthispaperareavailableonline the Security Constrained Unit Commitment (SCUC) problems Digital Object Identifier 10.1109/TPWRS.2019.2923207 suggests an alternative approach that captures the exogenous 0885-8950 © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Decision models used in wholesale electricity markets are advancing to manage adequately distributed storage on the grid and grapple with increasing stochasticity and variability in net-load. The goal of this paper is to address these three issues jointly, by introducing a continuous-time stochastic multi-stage reserve unit commitment. Compared to the conventional unit commitment (UC) formulation, the one we propose a) accommodates storage devices with limited energy capacity, b) addresses load uncertainty through a multi-variate scenario tree, and c) models, through a piece-wise polynomial approximation, continuous-time changes in load and generation. In numerical simulations, we compare the system operating cost of our approach relative to relaxations of our proposed formulation, including the conventional UC. The comparisons show the relative impact of the three modeling pillars of our formulation, aimed at capturing storage constraints, uncertainty, and ramping events with inter-hourly variations.
AB - Decision models used in wholesale electricity markets are advancing to manage adequately distributed storage on the grid and grapple with increasing stochasticity and variability in net-load. The goal of this paper is to address these three issues jointly, by introducing a continuous-time stochastic multi-stage reserve unit commitment. Compared to the conventional unit commitment (UC) formulation, the one we propose a) accommodates storage devices with limited energy capacity, b) addresses load uncertainty through a multi-variate scenario tree, and c) models, through a piece-wise polynomial approximation, continuous-time changes in load and generation. In numerical simulations, we compare the system operating cost of our approach relative to relaxations of our proposed formulation, including the conventional UC. The comparisons show the relative impact of the three modeling pillars of our formulation, aimed at capturing storage constraints, uncertainty, and ramping events with inter-hourly variations.
KW - Continuous-time
KW - energy storage
KW - multi-stage stochastic optimization
KW - reserve modeling
KW - unit commitment
UR - http://www.scopus.com/inward/record.url?scp=85074511827&partnerID=8YFLogxK
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U2 - 10.1109/TPWRS.2019.2923207
DO - 10.1109/TPWRS.2019.2923207
M3 - Article
AN - SCOPUS:85074511827
SN - 0885-8950
VL - 34
SP - 4476
EP - 4489
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 6
M1 - 8737715
ER -