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.
By the end of Smart Grids Integration and Modelling this 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
Participants to this Energy Training Centre 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
- Stay current with the emerging smart grid technologies
- Improve energy efficiency and reliability of power systems
- Facilitate the green and digital transformation of the energy and utility industries
- Reducing your carbon footprint and generating more efficient renewable energy
- Exposure to the best practices and success factors for successful smart grid implementation
- Advance your career in green and digital transition of the energy sector
- Learn from well-known faculty and smart grid industry experts
- Gain Knowledge of advanced technologies and concepts such as advanced metering, distribution automation, demand response and active network management
- Gain necessary skills and knowledge of smart grid architecture, modeling, and renewable energy integration.
- Global learning experience and great networking opportunities
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
Day One: 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 Two: 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 Three: Solar and Wind energy Modeling
- Overview of renewable energy systems
- Solar energy modeling
- Wind energy modeling
- Energy storage systems
- EV charging infrastructure
Day Four: 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 Five: 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