About Our Smart Grids Integration and Modelling Course

Time Training Center’s 5-day, 30-hour Smart Grids Integration and Modelling Course equips you with the knowledge and practical skills to design, model, and optimise intelligent power networks. The rapid decentralisation and decarbonisation of power systems are reshaping the way electricity is generated, distributed, and consumed. Smart grids are at the core of this transformation, enabling real-time monitoring, two-way communication, and dynamic control of electricity networks that incorporate distributed energy resources (DERs), such as solar PV, wind turbines, energy storage systems, and electric vehicle infrastructure.

This course on Smart Grids Integration and Modelling provides participants with a comprehensive understanding of how advanced digital technologies and power system engineering principles converge to support resilient and sustainable energy systems. Emphasis is placed on the integration of intermittent renewables into the grid, the challenges of maintaining system stability, and the necessity of intelligent control and automation. Participants will also gain hands-on exposure to smart grid modelling techniques, architectural frameworks, and system-level analysis used to evaluate performance under real-world operating conditions.

Through this training, professionals will acquire the analytical tools and strategic insights necessary to contribute to the deployment of next-generation grid infrastructure, capable of supporting future energy demands with improved flexibility, security, and efficiency.

Smart Grids Integration and Modelling  Course Objectives

Upon successful completion of this Smart Grids Integration and Modelling Course, participants will be able to:

• Identify the operational challenges posed by integrating renewable distributed energy resources (DERs) into power grids
• Explore innovative smart grid technologies and solutions for enhancing grid flexibility and resilience
• Understand the structure and components of smart grid architecture models
• Apply simulation and modelling tools for smart grid system analysis and evaluation
• Analyse the performance of smart grids incorporating solar, wind, storage, and EV infrastructure
• Examine the role of demand response, active network management, and automation in grid optimisation
• Interpret global standards and interoperability frameworks such as IEC 61850 and the Common Information Model (CIM)
• Recognise best practices and key success factors in the implementation of smart grid systems
• Facilitate the transition to cleaner energy systems through improved energy efficiency and system reliability
• Acquire the technical and strategic knowledge needed to support green and digital transformation in the energy sector

Who Should Attend Our Smart Grids Integration and Modelling Course? 

This course is highly beneficial for professionals involved in smart grid development, renewable energy integration, and advanced power systems engineering, including:

• Power System Engineers and Grid Operators
• Renewable Energy Project Developers
• Smart Grid Architects and Control Engineers
• Utility Planning and Operations Managers
• Energy and Sustainability Consultants
• Electric Vehicle Infrastructure Planners
• Government and Regulatory Officials in Energy Sectors
• Researchers and Academics in Smart Grid and Energy Systems

Smart Grids Integration and Modelling Course Training Methodology

We employ a comprehensive and applied learning strategy, integrating theory with real-world implementation:

• 30% Conceptual Learning: Expert-led sessions on catalytic theory and engineering principles
• 20% Interactive Workshops: Group exercises, presentations, and technical discussion forums
• 30% Case-Based Learning: Industry-specific examples and troubleshooting scenarios
• 20% Technology Integration: Digital tools, simulations, and catalyst modeling applications

Note: Instructors may adjust the training approach to fit technical requirements or participant engagement levels.

Smart Grids Integration and Modelling  Course Instructor

Our courses are delivered by highly qualified instructors with extensive experience in both industry and academia. With decades of hands-on expertise across a wide range of technical disciplines, our instructors are dedicated to providing high-quality, impactful training that equips participants with practical knowledge and skills they can immediately apply. Full instructor profiles are available upon request.

Smart Grids Integration and Modelling  Course Fees

The course fee includes the following:

• Course Materials: Comprehensive participant materials, including lecture notes, slides, and case study documents. (Tablet or IPAD)
• Coffee/Tea: Provided on arrival and during morning and afternoon breaks to keep participants refreshed.
• Buffet Lunch: Served daily to ensure participants have an opportunity to network and recharge during lunch breaks.

Smart Grids Integration and Modelling  Course Outline

Module 1: Smart Grid Overview

• Pre-test assessment of existing knowledge
• Introduction to Smart Grids
• Benefits and challenges of Smart Grids
• Core Smart Grid technologies
• Advanced Metering Infrastructure (AMI)
• Distribution Automation (DA)
• Demand Response (DR)
• Active Network Management (ANM)

Module 2: Smart Grid Architecture Modelling

• Smart Grid system architecture
• Use case development and analysis
• Smart Grid interoperability standards
• Role of IEC 61850 and Common Information Model (CIM)
• Smart Grid interoperability frameworks

Module 3: Solar and Wind Energy Modelling

• Fundamentals of solar and wind power systems
• Mathematical and software modeling techniques
• Solar energy system simulation
• Wind turbine performance modeling
• Integration of energy storage systems
• EV charging infrastructure and impact on the grid

Module 4: Distributed Energy Resources Integration

• Technical and non-technical impacts of DER
• Demand-side management and load flexibility
• Voltage regulation and power quality considerations
• Grid stability and reliability under DER penetration
• Smart Grid strategies for DER flexibility and integration

Module 5: Smart Grid Modelling

• Overview of modelling tools and simulation platforms
• Designing smart grid scenarios using architecture models
• Performance evaluation metrics for smart grids
• Simulation of smart grid systems with renewable integration
• Case study: Practical smart grid system design and modelling

Module 6: Capstone and Assessment

• Review of Core Topics and Key Learnings
• Final Group Discussion and Q&A
• Post-Test Evaluation
• Certificate Presentation

Course Completion Certificate

Upon successfully completing the Smart Grids Integration and Modelling Course at Time Training Center, participants will receive an official Course Completion Certificate. This certificate recognises their expertise in smart grid technologies, system integration, and energy modelling.