The traditional electricity grid, a century-old marvel of engineering, is not equipped for the demands of the 21st century. It lacks the two-way communication, real-time data, and intelligent automation needed to integrate a growing portfolio of renewable energy sources, manage distributed generation, and empower consumers. The smart grid represents a fundamental transformation of this infrastructure, creating a dynamic, resilient, and responsive network. This course is designed to provide professionals with a comprehensive understanding of the core principles that underpin this technological revolution, equipping them to design, implement, and manage the energy systems of tomorrow.

This program provides a practical and strategic deep dive into the interconnected components of the smart grid. Participants will explore everything from advanced metering infrastructure and demand response programs to grid-level automation and cybersecurity protocols. By focusing on the foundational technologies and operational principles, the course prepares attendees to contribute to the modernization of utility networks, enhance energy efficiency, improve reliability, and accelerate the transition to a sustainable, low-carbon future. It emphasizes actionable insights, real-world case studies, and a holistic perspective on the complex challenges and opportunities presented by grid modernization.

Duration: 10 days

Target Audience:

• Electrical Engineers
• Utility Managers and Operators
• Data Scientists and Analysts
• Technology Strategists
• Policymakers and Regulators
• Energy Consultants
• Researchers in Energy and Technology
• Project Managers in the Energy Sector
• IT and Cybersecurity Professionals
• Business Development Professionals

Objectives:

• Master the foundational principles and key components of smart grid technology.
• Learn to design and implement an advanced metering infrastructure (AMI) system.
• Understand advanced techniques for grid automation and real-time control.
• Grasp the complexities of integrating intermittent renewable energy sources.
• Develop proficiency in demand-side management and demand response programs.
• Explore best practices in smart grid cybersecurity and data privacy.
• Learn about the role of big data analytics in optimizing grid performance.
• Identify the critical ethical, legal, and regulatory considerations in grid modernization.
• Develop skills in communicating smart grid benefits to different stakeholders.
• Formulate strategies for a data-driven approach to energy transition.

Course Modules:

Module 1: The Smart Grid Ecosystem

• The evolution from a traditional to a smart grid
• Key characteristics of an intelligent grid
• Core components and architecture
• The business case for smart grid investment
• An overview of the smart grid value chain

Module 2: Advanced Metering Infrastructure (AMI)

• The role of smart meters and communication networks
• Benefits of two-way communication
• Data collection, validation, and storage
• AMI as a foundational layer for smart grid applications
• Implementing AMI systems in practice

Module 3: Grid Automation and Distribution Systems

• Intelligent automation in distribution networks
• Substation automation and communication protocols
• Fault detection, isolation, and service restoration (FDIR)
• Distributed Energy Resources (DERs) management
• The role of microgrids and distributed generation

Module 4: Renewable Energy Integration

• The challenge of intermittency
• Integrating solar, wind, and other renewables
• Grid balancing and stability with high DER penetration
• The role of energy storage systems
• Policy and regulatory frameworks for renewables

Module 5: Demand-Side Management

• Principles of demand response programs
• Shifting load and managing peak demand
• The role of smart appliances and home automation
• The economics of demand response
• Customer engagement and behavioral change

Module 6: Smart Grid Cybersecurity

• Identifying cybersecurity threats to the grid
• Key principles of grid cybersecurity
• Protecting critical infrastructure from attacks
• Data privacy and consumer data
• Best practices and compliance standards

Module 7: Energy Storage Systems

• The different types of energy storage technologies
• The role of batteries in grid resilience
• Business models for energy storage
• The economics of storage
• Integrating storage with renewables and the grid

Module 8: The Role of Big Data and Analytics

• The data torrent from a smart grid
• Using analytics for grid optimization
• Predictive maintenance and asset management
• Identifying inefficiencies and reducing losses
• The future of AI and machine learning in grid operations

Module 9: Communication and Control Systems

• Communication protocols for smart grids
• The role of SCADA and other control systems
• The Internet of Things (IoT) in the energy sector
• Managing a complex network of devices
• Real-time monitoring and control

Module 10: Smart Grid Regulatory and Policy Frameworks

• The role of government in grid modernization
• Policy levers to incentivize investment
• Regulatory hurdles and how to overcome them
• Global case studies in successful smart grid policy
• Developing a national smart grid strategy

Module 11: Interoperability and Standards

• The importance of open standards
• Key standards bodies (e.g., NIST, IEC)
• Ensuring seamless interoperability
• The challenge of legacy systems
• Building a roadmap for standardization

Module 12: Microgrids and Resiliency

• The concept of microgrids
• Designing and implementing a microgrid
• The role of microgrids in disaster recovery
• Business models for microgrids
• Integrating microgrids with the main grid

Module 13: Grid Economics

• The economic drivers of grid modernization
• Cost-benefit analysis of smart grid projects
• New revenue streams for utilities
• The impact on consumer electricity bills
• Investing in the grid of the future

Module 14: Case Studies

• Case study: A large-scale smart meter rollout
• Case study: Implementing a successful demand response program
• Best practices from leading utilities
• Lessons learned from global smart grid projects
• The future of grid technology

Module 15: The Future of Energy

• The rise of the prosumer and distributed generation
• The role of blockchain in energy markets
• The electrification of transport
• The convergence of energy and other sectors
• The long-term vision of a sustainable grid

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.