Sensitivity analysis of the impact of the sub-hourly stochastic unit commitment on power system dynamics

Taulant Kërçi; Juan S. Giraldo; Federico Milano

doi:10.3390/en13061468

Sensitivity analysis of the impact of the sub-hourly stochastic unit commitment on power system dynamics

Taulant Kërçi, Juan S. Giraldo, Federico Milano (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

71 Downloads (Pure)

Abstract

Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform.The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems.The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system.

Original language	English
Article number	1468
Number of pages	17
Journal	Energies
Volume	13
Issue number	6
DOIs	https://doi.org/10.3390/en13061468
Publication status	Published - 20 Mar 2020

Keywords

subhourly modeling
stochastic unit commitment
cosimulation method
sensitivity analysis
power system dynamic performance
Stochastic unit commitment
Sensitivity analysis
Subhourly modeling
Power system dynamic performance
Cosimulation method

UN SDGs

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

Access to Document

10.3390/en13061468

pubblishers versionFinal published version, 1 MB

Cite this

@article{3e01bca10ac34bbbab753e675b0a606e,

title = "Sensitivity analysis of the impact of the sub-hourly stochastic unit commitment on power system dynamics",

abstract = "Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform.The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems.The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system. ",

keywords = "subhourly modeling, stochastic unit commitment, cosimulation method, sensitivity analysis, power system dynamic performance, Stochastic unit commitment, Sensitivity analysis, Subhourly modeling, Power system dynamic performance, Cosimulation method",

author = "Taulant K{\"e}r{\c c}i and Giraldo, {Juan S.} and Federico Milano",

year = "2020",

month = mar,

day = "20",

doi = "10.3390/en13061468",

language = "English",

volume = "13",

journal = "Energies",

issn = "1996-1073",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "6",

}

TY - JOUR

T1 - Sensitivity analysis of the impact of the sub-hourly stochastic unit commitment on power system dynamics

AU - Kërçi, Taulant

AU - Giraldo, Juan S.

AU - Milano, Federico

PY - 2020/3/20

Y1 - 2020/3/20

N2 - Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform.The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems.The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system.

AB - Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform.The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems.The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39-bus system.

KW - subhourly modeling

KW - stochastic unit commitment

KW - cosimulation method

KW - sensitivity analysis

KW - power system dynamic performance

KW - Stochastic unit commitment

KW - Sensitivity analysis

KW - Subhourly modeling

KW - Power system dynamic performance

KW - Cosimulation method

UR - http://www.scopus.com/inward/record.url?scp=85082529655&partnerID=8YFLogxK

U2 - 10.3390/en13061468

DO - 10.3390/en13061468

M3 - Article

SN - 1996-1073

VL - 13

JO - Energies

JF - Energies

IS - 6

M1 - 1468

ER -

Sensitivity analysis of the impact of the sub-hourly stochastic unit commitment on power system dynamics

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this