DIAS, P. V. S.; http://lattes.cnpq.br/8274106138100366; DIAS, Paulo Vitor da Silva.
Abstract:
The rapid growth of renewable generation in Brazil, especially wind and solar, has brought
significant operational challenges to the SIN (National Interconnected System). The variability
of these sources can lead to unsafe operating conditions, resulting in generation constraints such
as curtailment and constrained-off, as well as economic and technical impacts on the electricity
sector. Given this scenario, this study proposes a methodology that combines the analysis of
the power system’s security region with historical data on wind and solar generation capacity
factors, enabling a more accurate assessment of the network’s operating conditions. The
methodology consists of five main steps. First, historical wind and solar generation data are
collected and processed from the ONS Open Data portal, allowing the calculation of hourly
capacity factors. Next, a simulation of the power system’s security region is performed,
representing the network's operational limits. Subsequently, the historical data are mapped onto
this region, enabling the identification of critical periods when renewable generation exceeds
system limits. The fourth step involves developing a network diagnostic algorithm that
classifies each generation combination as safe or unsafe and calculates metrics such as exposure
time and the power curtailment required to maintain safe operation. Finally, the methodology
proposes two mitigation strategies for generation constraints: the Minimum Power Curtailment
Mode, which minimizes the necessary generation reduction to ensure system security, and the
Directed Power Curtailment Mode (Strategic Generation Curtailment), which adjusts
generation while respecting the natural variation trend throughout the day, reducing potential
control room interventions. To demonstrate the robustness and effectiveness of the
methodology, a case study was conducted in the Rio Grande do Norte and Ceará regions. These
regions are characterized by a high penetration of wind and solar farms, making them ideal for
testing the proposed approach. The obtained results show that the developed methodology
provides a detailed analysis of the interaction between renewable generation and the operational
security of the power grid. The proposal not only enables the identification of critical scenarios
but also quantifies generation constraints and their associated costs. Thus, the presented
approach can significantly contribute to improving the operational strategies of the Brazilian
power system, enabling greater utilization of renewable sources and reducing the impacts of
operational constraints.