Improvement of the responsiveness and decision of transmission system operators in complex scenarios.

Project objective

Develop advanced tools to increase the situational awareness of electrical system operators, enabling more effective and agile decision making under normal and exceptional conditions. The project aims to implement Data Mining and Artificial Intelligence frameworks, integrated with the real-time operation system used in Evoltz’s Operations Center, to facilitate fault diagnosis and efficient alarm management.

Investment:

R$ 2924608, 00

Why is this project essential?

In the context of increasing operational complexity and a greater volume of extreme weather events, the ability to respond quickly and effectively to alarms and failures is crucial to ensure the continuity and safety of the electrical supply. Evoltz, with this project, strengthens its leadership position by investing in innovation and safety.

Originality and innovation

This project is pioneering the use of data mining, nebulous logic and visual computing techniques to improve operators’ ability to monitor and respond to critical events.
With this initiative, Evoltz stands out by implementing artificial intelligence to transform alarm data into actionable diagnostics, increasing safety and operational effectiveness.

Performed scope

Framework for intelligent alarm system Editing nebulous rules and crisp Alarms integration to SAGE Graphical view of diagnostics Grouping alarms for easy analysis Analysis of diagrams through visual computing

1

Alarm Overload Reduction

Minimization of repetitive alerts to avoid overloading operators.

2

Proactive Fault Diagnosis

Inference tool to aid in diagnosis, based on data history and expert knowledge.

3

Editing Nebulous Rules and Crisp

Framework for creating cloudy indicators, allowing a more detailed and adaptable control of the system.

4

Real-Time Operation System Integration

Intelligent alarms fully integrated into the system used in the Evoltz Operations Center, with visualization of accurate diagnostics.

Looking to the Future

Increased Operational Efficiency

Reduction of response time for fault diagnosis and resolution, with the potential to avoid fines and contribute to the well-being of operators.

Ability to prevent and decide

Predictive systems with nebulous logic allow operators to anticipate preventive measures and make more informed decisions.

Improved efficiency and improvement in service quality

With the automation and centralization of diagnostic processes, a gain in efficiency and quality is expected, which also culminates in the reduction of costs associated with PVI and maintenance costs.