Distributed Electricity Generation & Smart Grids
1. Training Introduction
The rise of distributed electricity generation (DG) and smart grids is transforming the traditional power system into a more flexible, reliable, and sustainable network. DG involves localized energy generation from renewable and conventional sources, while smart grids integrate advanced communication, automation, and control technologies to optimize generation, distribution and consumption.
This programme equips participants with knowledge of distributed generation technologies, grid integration, smart grid architectures, and operational strategies, enabling them to plan, design, and manage modern decentralized energy systems.
2. Training Objective
By the end of this programme, participants will be able to:
- Understand distributed generation (DG) concepts, types, and technologies.
- Analyze integration of DG into distribution networks.
- Apply smart grid principles, architectures, and automation technologies.
- Utilize communication and monitoring tools for grid management.
- Optimize energy flow, reliability, and efficiency in decentralized networks.
- Implement demand response, storage, and renewable integration strategies.
- Develop actionable plans for modern, resilient, and sustainable power systems.
3. Targeted Group
This programme is suitable for:
- Power system engineers and planners
- Grid operators and control room personnel
- Renewable energy engineers and project developers
- Smart grid and automation engineers
- Energy consultants and utility managers
- Graduate students in electrical or energy engineering
4. Course Duration
- Total Duration: 2 Weeks
- Weekly Commitment: 16 Hours (Lectures + Labs + Exercises)
Total Learning Hours: ~40–45 hours
5. Training Methodology
A blended approach combining:
- Instructor-led theoretical sessions
- Hands-on labs and simulation exercises
- Case studies of real-world DG and smart grid projects
- Group workshops and problem-solving exercises
- Assignments and scenario-based exercises
- Capstone project integrating DG and smart grid concepts
Assessment includes quizzes, lab reports, assignments, and a final capstone project.
6. Course Modules & Content
Module 1 — Introduction to Distributed Generation
- Concepts, benefits, and challenges of DG
- Types of DG: solar, wind, biomass, microturbines
- Grid-connected vs. off-grid DG
- Economic, technical, and environmental considerations
Activity: Identify appropriate DG technologies for different applications
Module 2 — Distributed Generation Integration
- Impact of DG on voltage, frequency, and power quality
- Interconnection standards and regulations
- Grid support and ancillary services
- Modeling DG in distribution networks
Exercise: Simulate DG integration into a sample feeder
Module 3 — Smart Grid Fundamentals
- Smart grid concepts, components, and architecture
- Communication networks and data acquisition
- Advanced metering infrastructure (AMI)
- Monitoring and control strategies
Workshop: Map conventional grid vs. smart grid architecture
Module 4 — Grid Automation & Control
- Distribution automation and control devices
- Intelligent electronic devices (IEDs)
- Fault detection, isolation, and service restoration
- SCADA and energy management systems (EMS)
Hands-On: Simulate distribution automation scenarios
Module 5 — Energy Storage & Demand Response
- Energy storage technologies: batteries, thermal, pumped hydro
- Role of storage in balancing DG and loads
- Demand response programs and load management
- Integration with smart grid control
Exercise: Model a demand response scenario with DG and storage
Module 6 — Renewable Integration & Microgrids
- Hybrid energy systems and microgrids
- Islanding and grid-connected operation
- Control strategies for stability and reliability
- Case studies of microgrid deployment
Workshop: Design a microgrid with DG, storage, and smart control
Module 7 — Economic, Environmental & Policy Considerations
- Cost-benefit analysis of DG and smart grids
- Tariffs, incentives, and regulatory frameworks
- Environmental impact and sustainability assessment
- Business models for distributed energy
Exercise: Evaluate economic feasibility of a DG-smart grid project
Module 8 — Capstone Project: Integrated DG & Smart Grid System
- Apply concepts to a real or simulated system
- Perform integration, automation, and performance analysis
- Evaluate reliability, efficiency, and economic impact
- Present project findings and recommendations
Deliverable: Capstone project report and presentation
7. Expected Outcomes
Participants completing this programme will:
✔ Understand distributed generation and smart grid technologies
✔ Integrate renewable DG into distribution networks
✔ Apply grid automation, monitoring, and control strategies
✔ Implement energy storage and demand response solutions
✔ Conduct economic, technical, and environmental evaluations
✔ Design and present integrated DG and smart grid solutions
✔ Develop strategies for resilient, efficient, and sustainable power
systems
8. Certificate of Completion
Participants who:
- Attend at least 80% of sessions
- Complete all module exercises and lab assignments
- Submit and present the capstone project
will receive a Certificate of Completion from:
FOTADE Training, Research and Resource Development Centre
Certificate Includes:
- Participant’s Full Name
- Programme Title: Distributed Electricity Generation & Smart Grids
- Duration & Completion Date
- Summary of Skills Acquired
- Official Seal & Signature of Programme Director
