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 for this work

Research output: Contribution to journalArticleAcademicpeer-review

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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 languageEnglish
Article number1468
JournalEnergies
Volume13
Issue number6
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Cosimulation method
  • Power system dynamic performance
  • Sensitivity analysis
  • Stochastic unit commitment
  • Subhourly modeling

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