Enhancements to the Insufficient Ramping Resource Expectation (IRRE) for Energy-Constrained Power Systems with Application to the Brazilian Electricity Grid
Pedro Vardiero (),
Amaro Olimpio Pereira,
Fabio A. Diuana and
Rafael Morais
Additional contact information
Pedro Vardiero: Energy Planning Program, Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research, Federal University of Rio de Janeiro (PPE/COPPE-UFRJ), Rio de Janeiro 21941-914, Brazil
Amaro Olimpio Pereira: Energy Planning Program, Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research, Federal University of Rio de Janeiro (PPE/COPPE-UFRJ), Rio de Janeiro 21941-914, Brazil
Fabio A. Diuana: Energy Planning Program, Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research, Federal University of Rio de Janeiro (PPE/COPPE-UFRJ), Rio de Janeiro 21941-914, Brazil
Rafael Morais: Energy Planning Program, Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research, Federal University of Rio de Janeiro (PPE/COPPE-UFRJ), Rio de Janeiro 21941-914, Brazil
Energies, 2025, vol. 18, issue 7, 1-23
Abstract:
The increasing integration of variable renewable energy sources (VRESs) into modern power systems presents significant challenges in ensuring operational flexibility, highlighting the need for robust methodologies to evaluate and ensure system reliability. The Insufficient Ramping Resource Expectation (IRRE) has emerged as a critical metric for quantifying the probability of ramping deficiencies in power systems. However, its traditional application, designed primarily for capacity-constrained systems, may not fully capture the operational dynamics of energy-constrained systems, such as those dominated by hydropower generation. This study analyzes the IRRE methodology and proposes enhancements to incorporate additional constraints, including seasonal and monthly hydrological variability and operational reserve requirements, to better reflect the flexibility limitations in energy-constrained systems. A case study of the Brazilian electricity system evaluates these modifications by comparing traditional and enhanced IRRE results across varying scenarios, including higher VRES penetration. Results reveal that, under stricter constraints, IRRE values increased by over 11 times for monthly hydrological limits in the Northeast subsystem, compared to the traditional IRRE. Additionally, combining these constraints with a 5% operational reserve requirement led to ramping deficits in up to 5% of the hours in a year for the same subsystem, highlighting the critical impact of operational constraints. Furthermore, scenarios with 30% and 100% VRES growth resulted in deficits increasing by 56 times and 418 occurrences, respectively, in certain subsystems. These findings demonstrate the enhanced IRRE’s effectiveness in evaluating flexibility challenges and its relevance for supporting planning and operational strategies in systems undergoing rapid renewable energy expansion.
Keywords: power system flexibility; power system planning; variable renewable energy sources; flexibility metrics; insufficient ramping resource expectation; energy-constrained systems; renewable energy integration; operational constraints; renewable energy power systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/7/1560/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/7/1560/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:7:p:1560-:d:1617011
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().