Leonardo Vergara Valdez

Responsible for supporting, configuring, and analyzing SCADA systems for electric power networks, contributing to the secure and efficient operation of complex grids.

• Supervision and compliance with grid codes: Ensuring renewable energy projects meet standards and regulations established for grid integration.
• Integration of renewable generation plants: Conducting technical studies for incorporation of solar and wind plants into electrical systems, ensuring connectivity, stability, and optimal performance within the grid.
• Impact assessment on system stability: Analyzing effects of integrating renewable energies on stability and resilience of large power systems, implementing corrective measures when necessary.
• Implementation of artificial intelligence and advanced tools: Utilizing AI algorithms and simulation techniques to optimize integration and operation of renewable energy sources in the grid.
• Numerical optimization and database management: Developing advanced numerical models and managing databases to enhance precision in power system analysis and decision-making.

• Electrical studies for the interconnection of new renewable plants: Technical analysis and evaluation of integrating new renewable generation plants into electrical systems, ensuring their proper interconnection.
• Compliance with technical requirements: Verification and assurance that power plants meet the standards and regulations for grid connection.
• Development of methodologies for production loss estimation: Creation of advanced techniques to evaluate and quantify generation losses caused by network constraints and congestion.
• Compliance testing for power plant interconnection: Conduct technical analysis to validate that generation plants meet the operational and regulatory criteria for grid integration.

Special Studies Department

• Control tuning in simulation environments: Adjustment and optimization of control models to improve the dynamic response of electrical systems under various operational conditions.
• Hourly demand forecasting: Development and updating of predictive models to anticipate electrical demand, enhancing operational planning and efficiency.
• Signal analysis for frequency mode identification: Implementation of advanced techniques to detect and analyze frequency oscillations, contributing to system stability.
• SCADA systems management and exploratory data analysis: Monitoring and control of the network using SCADA systems, combined with data analysis to identify operational patterns.
• Logic design for remedial action schemes: Creation of automated strategies to implement corrective actions during critical network failures, minimizing operational impact.

Network Modeling and Operational Limits Department

• Determination of operational security limits: Definition and evaluation of safe operating limits for the electrical grid to ensure stability under various load and generation scenarios.
• Modeling of the National Interconnected System (SIN): Development and maintenance of detailed SIN models to simulate operational conditions and assess their impact on the grid.
• Automation for base case adjustments: Creation of automated processes for calibrating and adjusting base cases in power flow studies to improve analysis accuracy and efficiency.
• Operational security studies: Comprehensive studies to evaluate the security and stability of the system under different contingencies and operational conditions.