Introduction

Introduction

As the global energy landscape transitions to a cleaner, more intelligent, and consumer-centric model, Smart Grid Technologies are at the heart of this transformation. Training Course on Smart Grid Technologies and Applications offers an in-depth exploration of digitized power systems, emphasizing real-time monitoring, data-driven decision-making, advanced metering infrastructure (AMI), demand response, cybersecurity, and renewable energy integration. Participants will gain hands-on exposure to the evolving architecture of smart grids, from IoT-enabled grid automation to AI-based analytics and predictive maintenance, learning how to design, manage, and optimize digital energy infrastructure.

This highly interactive training blends theory, simulation, and real-world case studies to empower engineers, utility professionals, and energy policymakers with skills to drive the next-generation energy ecosystem. With tools like MATLAB, OpenDSS, GridLAB-D, and Python, learners will solve practical challenges such as peak load management, distributed energy resource (DER) coordination, and power quality monitoring. Whether you're planning smart grid rollouts or optimizing existing networks, this course delivers the technical knowledge, strategic insights, and tools needed to lead in the era of smart and sustainable energy systems.

Programme Curriculum

Training Course on Smart Grid Technologies and Applications

Introduction

Course duration

10 Days

Course Objectives

1. Understand the architecture and layers of Smart Grid infrastructure.

2. Implement Advanced Metering Infrastructure (AMI) and IoT systems.

3. Analyze and improve demand response strategies.

4. Utilize real-time data analytics and visualization tools.

5. Integrate renewables and energy storage into the grid.

6. Apply cybersecurity protocols for critical grid infrastructure.

7. Optimize energy flow using AI and machine learning algorithms.

8. Design resilient microgrids and virtual power plants (VPPs).

9. Conduct load forecasting and energy demand prediction.

10. Apply blockchain for peer-to-peer energy trading.

11. Ensure grid stability with smart protection and automation.

12. Leverage cloud-based platforms for grid monitoring and control.

13. Understand global trends and standards in smart grid deployment.

Organizational Benefits

1. Enhancing grid reliability and real-time control.

2. Reducing energy costs through optimized operations.

3. Improving customer engagement and service delivery.

4. Enabling integration of DERs and renewable energy.

5. Strengthening cybersecurity and risk resilience.

6. Reducing technical losses and improving efficiency.

7. Empowering workforce with cutting-edge digital skills.

8. Ensuring compliance with regulatory frameworks.

9. Achieving sustainability and carbon-reduction goals.

10. Positioning as a leader in energy innovation and digitization.

Target Participants

1. Electrical and power system engineers

2. Utility managers and smart grid planners

3. Renewable energy professionals

4. ICT and IoT engineers in the energy sector

5. Government energy departments and regulators

6. Consultants and system integrators

7. Energy data analysts and researchers

Course Outline

Module 1: Smart Grid Fundamentals

Evolution from traditional grids to smart grids
Architecture and layers of smart grids
Benefits and challenges
Smart grid policy landscape
Case Study: Smart Grid Rollout in India

Module 2: Advanced Metering Infrastructure (AMI)

AMI components: Smart meters, data concentrators
Two-way communication networks
AMI protocols and standards
Data collection and consumer profiling
Case Study: AMI Deployment in Sub-Saharan Africa

Module 3: IoT and Edge Computing in Smart Grids

Role of IoT in power systems
Sensors and data acquisition
Edge vs cloud processing
Real-time fault monitoring
Case Study: Smart Substation Automation

Module 4: Demand Response and Load Management

Load curve analysis
DR mechanisms: price-based and incentive-based
Peak shaving and valley filling
Consumer behavior modeling
Case Study: Demand Response Program in California

Module 5: Renewable Energy Integration

Impact of wind and solar on grid stability
Inverter-based generation
Curtailment and smoothing techniques
DER interconnection standards
Case Study: Grid-Tied Solar in Nairobi County

Module 6: Smart Grid Communications

Communication protocols (DNP3, IEC 61850)
Wireless and fiber-optic networks
Interoperability challenges
Real-time data streaming
Case Study: Communication Infrastructure in Europe’s Smart Grids

Module 7: Power Quality and Monitoring

Voltage sags, swells, harmonics
Power quality indices
Monitoring equipment and software
Real-time event logging
Case Study: Power Quality Audit in Industrial Setup

Module 8: Microgrid Design and Control

Microgrid components and architecture
Grid-connected vs islanded operation
Load forecasting and energy balancing
Optimization techniques
Case Study: Hybrid Microgrid in Rural Kenya

Module 9: Smart Protection and Automation

Digital relays and IEDs
Self-healing grid concepts
Adaptive protection schemes
Substation automation
Case Study: Automated Fault Isolation in Urban Grid

Module 10: Cybersecurity in Smart Grids

Threat vectors and vulnerabilities
Intrusion detection and prevention
Cybersecurity standards (NERC CIP, ISO 27001)
Security for SCADA and AMI
Case Study: Cyber Attack Response in National Grid

Module 11: Big Data and AI Applications

Smart grid data sources
AI for load forecasting
Predictive maintenance algorithms
Data cleaning and preprocessing
Case Study: Machine Learning for Energy Theft Detection

Module 12: Blockchain for Smart Energy

Blockchain fundamentals
Peer-to-peer energy trading
Smart contracts in energy
Integration with AMI and IoT
Case Study: Blockchain-Based Microgrid in South Korea

Module 13: Grid Simulation and Modeling

Skills & Software Covered

Smart Grid Electrical Engineering Renewable Integration IoT

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000

Training Course on Smart Grid Technologies and Applications