An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales

Hongyu Wu; Erik Ela; Ibrahim Krad; Anthony Florita; Jie Zhang; Bri Mathias Hodge; Eduardo Ibanez; Wenzhong Gao

doi:10.1109/PESGM.2015.7286542

An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales

Hongyu Wu
, Erik Ela
, Ibrahim Krad
, Anthony Florita
, Jie Zhang
, Bri Mathias Hodge
, Eduardo Ibanez
, Wenzhong Gao

Grid Planning and Analysis Center

National Renewable Energy Laboratory
University of Denver

Research output: Contribution to conference › Paper › peer-review

5 Scopus Citations

Abstract

This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed in the RTS-96 system, and the results show how this new scheduling application would impact costs and reliability with a closer representation of timescales of system operations in practice.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM.2015.7286542 https://doi.org/10.1109/PESGM.2015.7286542
State	Published - 2015
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Conference

Conference	IEEE Power and Energy Society General Meeting, PESGM 2015
Country/Territory	United States
City	Denver
Period	26/07/15 → 30/07/15

Bibliographical note

See NREL/CP-5D00-63714 for preprint

NLR Publication Number

NREL/CP-5D00-67156

Keywords

Area control error
multiple timescales
progressive hedging
security-constrained unit commitment
stochastic optimization

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Wu, H., Ela, E., Krad, I., Florita, A., Zhang, J., Hodge, B. M., Ibanez, E., & Gao, W. (2015). An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales. Paper presented at IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States. https://doi.org/10.1109/PESGM.2015.7286542, https://doi.org/10.1109/PESGM.2015.7286542

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title = "An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales",

abstract = "This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed in the RTS-96 system, and the results show how this new scheduling application would impact costs and reliability with a closer representation of timescales of system operations in practice.",

keywords = "Area control error, multiple timescales, progressive hedging, security-constrained unit commitment, stochastic optimization",

author = "Hongyu Wu and Erik Ela and Ibrahim Krad and Anthony Florita and Jie Zhang and Hodge, \{Bri Mathias\} and Eduardo Ibanez and Wenzhong Gao",

note = "See NREL/CP-5D00-63714 for preprint; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",

year = "2015",

doi = "10.1109/PESGM.2015.7286542",

language = "American English",

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Wu, H, Ela, E, Krad, I, Florita, A, Zhang, J, Hodge, BM, Ibanez, E & Gao, W 2015, 'An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales', Paper presented at IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 26/07/15 - 30/07/15. https://doi.org/10.1109/PESGM.2015.7286542, https://doi.org/10.1109/PESGM.2015.7286542

TY - CONF

T1 - An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales

AU - Wu, Hongyu

AU - Ela, Erik

AU - Krad, Ibrahim

AU - Florita, Anthony

AU - Zhang, Jie

AU - Hodge, Bri Mathias

AU - Ibanez, Eduardo

AU - Gao, Wenzhong

N1 - See NREL/CP-5D00-63714 for preprint

PY - 2015

Y1 - 2015

N2 - This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed in the RTS-96 system, and the results show how this new scheduling application would impact costs and reliability with a closer representation of timescales of system operations in practice.

AB - This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed in the RTS-96 system, and the results show how this new scheduling application would impact costs and reliability with a closer representation of timescales of system operations in practice.

KW - Area control error

KW - multiple timescales

KW - progressive hedging

KW - security-constrained unit commitment

KW - stochastic optimization

UR - https://www.scopus.com/pages/publications/84956863389

U2 - 10.1109/PESGM.2015.7286542

DO - 10.1109/PESGM.2015.7286542

M3 - Paper

AN - SCOPUS:84956863389

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

An Assessment of the Impact of Stochastic Day-Ahead SCUC on Economic and Reliability Metrics at Multiple Timescales

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

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Cite this