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

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

NREL 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

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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 - http://www.scopus.com/inward/record.url?scp=84956863389&partnerID=8YFLogxK

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

NREL Publication Number

Keywords

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