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

Hongyu Wu; Ibrahim Krad; Anthony Florita; Jie Zhang; Brian Hodge; Wenzhong Gao; Eduardo Ibanez

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

Hongyu Wu, Ibrahim Krad, Anthony Florita, Jie Zhang, Brian Hodge, Wenzhong Gao, Eduardo Ibanez

Power Systems Engineering

University of Denver

Research output: Contribution to conference › Paper

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	7
State	Published - 2015
Event	2015 IEEE Power and Energy Society General Meeting - Denver, Colorado Duration: 26 Jul 2015 → 30 Jul 2015

Conference

Conference	2015 IEEE Power and Energy Society General Meeting
City	Denver, Colorado
Period	26/07/15 → 30/07/15

NREL Publication Number

NREL/CP-5D00-63714

Keywords

area control error
multiple timescales
National Renewable Energy Laboratory (NREL)
NREL
progressive hedging
security-constrained unit commitment
stochastic optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy15osti/63714.pdf

Cite this

@conference{9d495ae2e3bc4697b3b2a9dc82ab52b7,

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

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, National Renewable Energy Laboratory (NREL), NREL, progressive hedging, security-constrained unit commitment, stochastic optimization",

author = "Hongyu Wu and Ibrahim Krad and Anthony Florita and Jie Zhang and Brian Hodge and Wenzhong Gao and Eduardo Ibanez",

year = "2015",

language = "American English",

note = "2015 IEEE Power and Energy Society General Meeting ; Conference date: 26-07-2015 Through 30-07-2015",

}

TY - CONF

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

AU - Wu, Hongyu

AU - Krad, Ibrahim

AU - Florita, Anthony

AU - Zhang, Jie

AU - Hodge, Brian

AU - Gao, Wenzhong

AU - Ibanez, Eduardo

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 - National Renewable Energy Laboratory (NREL)

KW - NREL

KW - progressive hedging

KW - security-constrained unit commitment

KW - stochastic optimization

M3 - Paper

T2 - 2015 IEEE Power and Energy Society General Meeting

Y2 - 26 July 2015 through 30 July 2015

ER -

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

Abstract

Conference

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this