Smart Grids Integration and Modelling

Start Date End Date Venue Fees (US $)
16 Aug 2026 Kuala Lumpur, Malaysia $ 4,500 Register
13 Dec 2026 Dubai, UAE $ 3,900 Register
21 Dec 2026 Live-Online $ 2,500 Register

Smart Grids Integration and Modelling

Introduction

Smart grid, a modernized power system, plays a crucial role in the integration of renewable distributed energy resources (DER) and to address the challenges of green energy transition. However, intermittence and uncertainty and of renewable distributed generation impose several operational challenges on power grids. Smart grid technologies offer new options not only to allow maximum use of distributed energy resources, energy storage and EV charging infrastructure but also to enhance the grid sustainability, reliability, stability, security and affordability. Smart grids complexity of widespread multiple energy resources cannot always be studied by conventional analytical methods. Thus, modeling and simulation are of great importance to study and analyse smart grid systems.

Objectives

    By the end of this Smart Grids Integration and Modelling training course, participants will gain practical smart grid insights and will be able to:

    • Identify integration challenges and impact of renewable distributed generation on power grids
    • Explore emerging smart grid solutions for smooth renewable DER integratio
    • Apply smart grid architecture model
    • Understand different smart grid technologies
    • Learn how to design, model and analyse smart grid systems

Training Methodology

Participants to this training course will receive a thorough training on the subjects covered by the training course based on a variety of proven training techniques and recognized smart grid references including:

  • Smart Grid: Fundamentals of Design and Analysis by James Momoh, IEEE Wiley
  • Smart Grid Systems: Modeling and Control by Ramesh Babu, CRC Press
  • Smart Grid Integrating Renewable, Distributed and Efficient Energy by Fereidoon P., Academic Press
  • Successful Smart Grid Implementation by James Ketchledge, PennWell
  • Smart Grid Strategies for Optimal Integration of PV Distributed Energy Resources by Moustafa Shahin and Topriska E., ISES Solar World Congress

Who Should Attend?

This Smart Grids Integration and Modelling training course is suitable to a wide range of professionals but will greatly benefit: 

  • Electrical engineers
  • Utility industry professionals
  • Planning, Operations and Project engineers
  • Energy engineers and Consultants
  • Professionals with interest in energy Digitalization
  • Managers, Department Heads, and Supervisors in the Energy and utilities Sector

Course Outline

Day 1: Smart Grid Overview

  • Introduction

  • Smart Grid benefits and challenges

  • Smart Grid technologies

  • Advanced Metering infrastructure (AMI)

  • Distribution Automation (DA)

  • Demand Response (DR)

  • Active Network Management (ANM) 

Day 2: Smart Grid Architecture Modeling

  • Smart Grid Architecture

  • Smart Grid use cases

  • Smart Grid Standards

  • Smart Grid interoperability framework

  • IEC61850 and Common information model (CIM) 

Day 3: Solar and Wind Energy Modeling

  • Overview of renewable energy systems

  • Solar energy modeling

  • Wind energy modeling

  • Energy storage systems

  • EV charging infrastructure 

Day 4: Distributed Energy Resources Integration

  • Non-technical Impact of DER integration

  • Demand side management impact

  • Voltage and Power Quality Impact

  • Grid Stability and Reliability impact

  • Smart grid solutions for flexibility and DER integration 

Day 5: Smart Grid Modeling

  • Different tools to design and model smart grids

  • Applying smart grid architecture modeling

  • Evaluate the performance of a smart grid with integrated renewable energy sources

  • Modeling and simulation of smart grid solutions for DER integration

  • A practical smart grid

Accreditation

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