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How WEB Aruba uses ETAP Digital Twin for improved reliability of integrated solar and wind power

To manage and analyze our electrical network, we rely on the ETAP model, which plays a crucial role in ensuring network efficiency, safety and reliability.
Jairo A. Vrolijk, Senior Technical Support Engineer, WEB Aruba N.V.

To support their ambitious renewable energy goals, WEB Aruba partnered with ETAP to prepare for the new integration of solar and wind energy sources. Their objective in this case study was to implement a real-time electrical digital twin model for continuous monitoring and control to manage demand fluctuations and maintain stability. They also wanted to improve the competency training for their teams to prepare for the new energy mix.


Areas for improvement

  • Preparing for the increase in electrical network complexity due to renewable integration
  • Existing power system model was not ready for real-time operations
  • Ensuring data accuracy and integration with an existing data collection system
  • Improving incident response and root-cause analysis
  • Enhancing the skillsets of operators for their planned changes to a more dynamic grid 

The main goals of this project are to accurately represent the utility's electrical network, continuously monitor and control network performance and prepare for the implementation of an operating training simulator. To meet the sustainability goal of achieving a 50% renewable energy mix by 2030, WEB Aruba has already started to modernize their grid, introducing solar and wind generation and energy storage, and upgrading their existing infrastructure. The utility supports both water and energy distribution and is responsible for producing 36 million liters of water production daily with an average 135 MW of generation. They decommissioned a steam turbine equipment, replacing this with a more efficient reciprocating engine, producing approximately 102MW. This shift is an essential move to improve efficiency and stability. All of the future renewable energy sources will be connected to a new central substation.

Their existing power system model was maintained as an offline model for nearly 10 years. As a result, troubleshooting incidents was inefficient, and response time suffered. To prepare for real-time operations, more than 900 data tags including new and existing high-, medium- and low-voltage breaker statuses needed to be applied. These data points were linked to the existing data historian system at the utility for effective data management and analysis.

Also, the transition to an energy model with the newly added renewable energy sources and storage systems meant that WEB Aruba’s operators would need to enhance their skills. They needed to be prepared to manage the intermittency and response to distributed resources, learning new approaches within a safe environment.

Products used

ETAP Digital Twin

  • Real-time model-driven electrical visualization and analysis working with data acquisition and control hardware

ETAP PSMS™ Real-Time Power System Monitoring & Simulation

  • Continuous real-time monitoring
  • Multi-console HMI viewers with multi-screen monitoring
  • Graphical monitoring via ETAP digital twin intelligent one-line diagram
  • Event playback for post-incident analysis
  • What-if scenario evaluation
  • Open Platform (OPC) Integration

Operator Training Simulator (Phase 2)

  • Develop and improve competency through real-world simulated learning using the real-time model as the technical foundation

What we delivered

  • Precision analysis tools that assist with planning and implementation of clean renewable energy sources to support the utility’s sustainability goals
  • Accurate electrical network modeling that includes renewable integrations and battery energy storage
  • Realtime power system monitoring, playback and ‘what if’ scenario analysis with simulations based on the facility’s operational history to improve decision making and response time
  • Easy integration into the next phase of the study for electrical operators to train, improve their skills and adapt to new renewable and storage assets in a risk-free environment

Ensuring data accuracy and consistency throughout the integration process was critical for the reliability and effectiveness of the real time model and the future operated training simulator. Effective communication, collaboration, and use of advanced data integration tools helped to overcome these challenges.

Our continued collaboration with ETAP will ensure the successful implementation and future development of the Operator Training Simulator and other related technologies.

- Jairo A. Vrolijk, Senior Technical Support Engineer, WEB Aruba N.V.

Outcomes

Operational Efficiency and Reliability for Renewable Integrations

  • Established a solid foundation for analysis for ongoing renewables integration
    • Comprehensive update to their electrical power system model for future readiness
    • Simulations provide a better understanding of grid behavior
  • Improved operational efficiency and reliability
    • Enhanced network monitoring using real-time visibility and system awareness
    • Faster incident response from quicker decisions based on up-to-date data
    •  Accurate troubleshooting with playback

Additionally, in the next phase, WEB Aruba will implement eOTS to provide a risk-free operator training environment to improve skills & preparedness.

Enhancing our ETAP model and implementing the real-time model offers several benefits, including improved network monitoring, faster incident response, and increased operational efficiency and reliability.

- Jairo A. Vrolijk, Senior Technical Support Engineer, WEB Aruba N.V.



Videos

In transmission systems grappling with the unpredictability of renewable energy sources, ETAP's Operator Training Simulator (OTS) provides a cutting-edge solution, leveraging digital twin technology and real-time data to anticipate system performance uncertainties, as demonstrated through its integration into Web Aruba's operations, enhancing grid resilience and efficiency amidst renewable energy variability.


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