Wide Area Monitoring & PMU Analytics

This training course uses a structured and practical learning methodology that combines power system monitoring frameworks, synchrophasor technologies, data analytics techniques, and applied industry scenarios. Participants will examine system architectures, data flows, analytics models, and operational use cases relevant to modern transmission networks. Emphasis is placed on translating complex measurement data into actionable insights, improving analytical capability, and strengthening technical expertise in grid monitoring and control.

At the end of this Wide Area Monitoring & PMU Analytics training course, you will learn to:

• Explain PMU principles and synchrophasor measurement concepts
• Design and evaluate wide area monitoring system architectures
• Analyse PMU data to detect disturbances and system anomalies
• Apply analytics techniques to enhance grid stability and reliability
• Integrate PMU insights into operational decision-making processes

This training course is designed for professionals involved in power system monitoring, operations, and grid analytics.

• Power System Engineers
• Grid Operations and Control Room Engineers
• Protection and Control Engineers
• Energy Management System Specialists
• Transmission Planning Engineers
• Data and Analytics Professionals in Utilities

Organisational Impact

This Wide Area Monitoring & PMU Analytics training course will enable organisations to:

• Improve real-time visibility of power system conditions
• Enhance early detection of disturbances and system instability
• Strengthen grid reliability and operational resilience
• Support faster and more informed operational decisions
• Improve integration of renewable energy into the grid
• Enhance performance of monitoring and control systems

Personal Impact

Participants will develop:

• Advanced understanding of PMU and WAMS technologies
• Strong analytical skills in interpreting synchrophasor data
• Ability to detect and respond to grid disturbances effectively
• Confidence in applying monitoring tools for system stability
• Enhanced technical knowledge of power system dynamics
• Greater professional credibility in grid operations and analytics roles