Smart Grid Technologies and Digital Energy Management Course


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Course Overview

This course provides an in-depth understanding of smart grid technologies and their role in modernizing energy management systems. Participants will explore digital energy solutions, grid automation, real-time monitoring, demand response, and cybersecurity considerations in smart grids. The course covers key concepts such as IoT, AI-driven energy optimization, energy storage integration, and regulatory frameworks. Through practical case studies and hands-on exercises, attendees will develop the expertise needed to implement smart grid solutions for enhanced efficiency, reliability, and sustainability in the energy sector.

Duration:

5 Days

Target Audience:

  • Energy Managers and Engineers
  • Utility and Grid Operators
  • Renewable Energy Professionals
  • Smart Grid Technology Developers
  • Regulatory and Policy Officials
  • IT and Cybersecurity Specialists in Energy
  • Consultants in Energy Management and Digital Transformation

Personal Impact:

  • Enhanced understanding of smart grid technologies and digital energy management
  • Increased ability to implement IoT and AI-based energy optimization solutions
  • Improved knowledge of grid automation and demand-side management strategies
  • Strengthened expertise in energy storage and distributed energy resource (DER) integration
  • Greater confidence in addressing cybersecurity challenges in smart grids

Organizational Impact:

  • Improved grid reliability and operational efficiency through digitalization
  • Enhanced ability to manage peak demand and optimize energy distribution
  • Strengthened security and resilience against cyber threats in energy infrastructure
  • Increased adoption of renewable energy and decentralized energy resources
  • Greater compliance with evolving regulatory frameworks for smart grids

Course Level:

Course Objectives:

  • Understand the fundamentals of smart grid technologies and digital energy management
  • Explore the role of IoT, AI, and big data in optimizing energy systems
  • Learn strategies for demand response and energy efficiency improvement
  • Examine the integration of renewable energy and energy storage with smart grids
  • Address cybersecurity risks and best practices for securing digital energy systems
  • Analyze regulatory policies and standards governing smart grid implementation

Course Outline

Module 1: Introduction to Smart Grid Technologies

  • Overview of traditional vs. smart grids
  • Key components of a smart grid system
  • Benefits and challenges of smart grid adoption
  • Case Study: Successful smart grid implementation in a power utility

Module 2: Digital Energy Management and Optimization

  • Role of digitalization in modern energy management
  • IoT applications in smart grids and energy monitoring
  • AI and machine learning for predictive energy analytics
  • Hands-on Activity: Designing a smart grid-enabled energy management strategy

Module 3: Demand Response and Grid Automation

  • Understanding demand-side management techniques
  • Automated grid control and real-time monitoring systems
  • Role of smart meters and advanced metering infrastructure (AMI)
  • Hands-on Activity: Simulating demand response strategies for energy efficiency

Module 4: Energy Storage and Renewable Integration

  • Battery storage technologies for smart grid applications
  • Grid integration of solar, wind, and distributed energy resources (DERs)
  • Virtual power plants (VPPs) and microgrid solutions
  • Case Study: Integrating renewables into a smart grid network

Module 5: Cybersecurity, Regulations, and Future Trends

  • Cybersecurity threats and risk mitigation strategies in smart grids
  • Regulatory policies and compliance for digital energy systems
  • Emerging trends: blockchain, edge computing, and digital twins in energy
  • Hands-on Activity: Developing a roadmap for smart grid deployment

Related Courses


Course Administration Details:

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


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