Introduction
This Wide Area Monitoring & PMU Analytics training course equips working professionals with advanced knowledge and practical capabilities to leverage synchrophasor technology for improved power system monitoring, control, and stability. The training course focuses on the deployment and application of Phasor Measurement Units (PMUs) within Wide Area Monitoring Systems (WAMS), enabling real-time visibility across transmission networks. Participants will gain a comprehensive understanding of synchrophasor fundamentals, time-synchronised measurements, data acquisition systems, and the role of PMUs in detecting system disturbances, oscillations, and voltage instability.
The training course also addresses the growing need for enhanced grid observability driven by renewable integration, interconnection complexity, and dynamic system behaviour. Participants will explore advanced analytics techniques applied to PMU data, including event detection, oscillation analysis, state estimation enhancement, and early warning systems. Emphasis is placed on translating high-resolution data into actionable insights for system operators, planners, and reliability engineers. With strong real-world relevance, the training course enables professionals to strengthen grid resilience, improve situational awareness, and support fast, data-driven operational decisions in modern power systems.
This Wide Area Monitoring & PMU Analytics training course will highlight:
- Fundamentals of synchrophasor technology and PMU operation
- Architecture and deployment of wide area monitoring systems
- Real-time grid monitoring and situational awareness tools\
- Advanced PMU data analytics for system stability
- Applications in disturbance detection and grid reliability
Objectives
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
Training Methodology
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.
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
Who should Attend?
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
Fundamentals of Synchrophasors and PMUs
- Introduction to wide area monitoring systems (WAMS)\
- Principles of synchrophasor measurements
- PMU components and operational characteristics
- Time synchronisation using GPS and accuracy considerations
- Data acquisition, communication, and standards (IEEE C37.118)
- Deployment strategies for PMUs in transmission networks
WAMS Architecture and System Integration
- WAMS system design and architecture
- Phasor Data Concentrators (PDCs) and data aggregation
- Communication infrastructure and latency considerations
- Integration with SCADA and Energy Management Systems
- Data quality, validation, and management
- Cybersecurity considerations in WAMS
PMU Data Analytics and Applications
- Fundamentals of PMU data analytics
- Event detection and disturbance analysis
- Oscillation monitoring and damping assessment
- Voltage stability monitoring and indicators
- State estimation enhancement using PMU data
- Visualisation tools for real-time monitoring
Advanced Monitoring and Grid Stability
- Wide area situational awareness concepts
- Early warning systems for grid disturbances\
- Dynamic system behaviour and transient analysis
- Frequency stability and control monitoring
- Integration of renewable energy impacts
- Decision support tools for system operators
Future Trends and Advanced Applications
- AI and machine learning in PMU analytics
- Big data platforms for grid monitoring
- Integration of distributed energy resources
- Smart grid technologies and digital transformation
- Regulatory frameworks and implementation challenges
- Action planning for WAMS and PMU analytics excellence
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
