Professional Certificate of Competency in Smart Grids

Course Overview

CSG

A smart grid is an electricity network that uses digital and other advanced technologies in an integrated fashion to be able to monitor and intelligently and securely manage the transport of electricity. The course covers smart grid infrastructure and the associated technologies such as smart metering, energy storage, SCADA, demand side management, artificial intelligence and cyber security etc. For a sustainable energy future, it is essential that engineers understand the role of smart grids and collaborate with each other to achieve the smart grid values. Due to the nature of the smart grid concept, the course is suitable for all engineers including electrical and electronic engineers, data communication engineers and industrial automation engineers etc.

What you will learn/gain:

  • Insight into smart grid infrastructure;
  • The role of power electronics and energy storage in smart grids;
  • Knowledge of advanced technologies and concepts such as advanced metering, demand side response, electric vehicles and the role of data communication;
  • Understanding of protection and cyber security fundamentals.

At a glance

Duration
  • 3 Months
Study Mode
  • Online
Fees
Location
  • Online
Intakes
19 September 2022
Course Type
  • Professional Certificate
  • Electrical Engineering

Course Details

The course introduces engineers to the principles of smart grids in power system application under various network conditions. The content includes smart electricity network and the role of communication in smart grid deployment, which will develop engineers’ understanding of the overall smart grid components.

The course will discuss the basic components of smart grid systems and will look into topics of smart grid regulation and market economics, communication technologies and smart transmission/distribution grids. The application of various power electronic devices and the management of energy storage, electric vehicles, demand side management and AMI will also be covered. The computation tools for smart grid design, adaptive protection, Interoperability standards and software infrastructure will be highlighted. Furthermore, students will gain a fundamental understanding of big data and cyber security in smart grids.

After covering the necessary theory, the course will introduce practical studies involving the modelling and simulation of various system conditions using appropriate software tools. Students will also gain skills in interpreting simulation results.

One topic is delivered per contact week.

Read more in the course outline.

Topic 1

Introduction to Smart Grids and Their Market Economics

  1. Evolution of smart grids
  2. The need of policy and regulation in smart grids
  3. Main regulatory issues (utility disincentives, pricing inefficiencies, and cybersecurity and privacy) and challenges in the electricity market
  4. Electricity market structure
  5. Incentivizing market policy and ancillary services

Topic 2

Infrastructure of Smart Grids

  1. Technical challenges of smart grids
  2. Composition of the smart grid (Standards adaptation, technical components, technical perspective, conceptual reference model perspective)
  3. Pathways for designing smart grids

Topic 3

Smart Transmission/Distribution Grids

  1. Distributed management systems
  2. SCADA systems and smart grid vision

Topic 4

Applications of Power Electronics and Energy Storage Systems

  1. FACTS application in smart grids
  2. Distributed energy resources and their applications
  3. Energy storage systems
  4. Power system reliability with intelligent operation strategies
  5. Operation of large-scale battery storage in the energy market

Topic 5

Demand Side Management and AMI

  1. Demand side management and response in a smart grid
  2. The role of smart metering in smart grids
  3. Use case: smart home and building automation

Topic 6

Electric Vehicles (EVs) Integration and Its Grid Impact

  1. Intro to electric drive vehicle and the challenges to EV adoption by customers and utility
  2. Smart grid technologies for EVs load management
  3. EV flexibility in the grid integration
  4. Grid support from EVs (vehicle-to-grid, vehicle-to-building, vehicle-to-home etc.)

Topic 7

Measurement and Communication Technologies  

  1. Communication technologies and standards for smart grids
  2. Multiagent systems (implementation, specification, technique)
  3. Internet of things (IoT) and the association with smart grids

Topic 8

Computation Tools for Smart Grid Design and Adaptive Protection

  1.  Computational challenges and protection systems under smart grid environment
  2. Architecture of smart grid protection systems
  3. Smart adaptive protection for microgrids and distribution networks

Topic 9

Interoperability Standards and Software Infrastructure 

  1. Type and characteristics of interoperability standards for smart grid
  2. Standards development organizations (SDOs) and key interoperability standards
  3. Software Architecture in smart grids
  4. IT challenges, essential smart grid software platform

Topic 10

Artificial Intelligence in Smart Grids

  1. Big data characteristics and application in smart grids
  2. Cloud computing implementation in the smart grids
  3. Application of machine learning algorithms for performance measurements

Topic 11

Cyber Security in Smart Grids

  1. Information security for the smart grid
  2. Cyber infrastructure and security of power systems
  3. Smart grid cyber-security standards and challenges
  4. Security schemes for AMI private networks and public networks

Topic 12

Project and Revision

In the final week, total course contents will be briefly discussed. Students will have an opportunity to review the contents covered so far. Opportunity will be provided for a review of student work, to clarify any outstanding issues, and to work on finalizing the major assessment report.

To obtain a certificate of completion for EIT’s Professional Certificate of Competency course, students must achieve a 65% attendance rate at the live, online weekly webinar.  Detailed summaries or notes can be submitted in lieu of attendance.  In addition, students must obtain a mark of 60% in the set assignments which could take the form of written assignments and practical assignments. Students must also obtain a mark of 100% in quizzes.  If a student does not achieve the required score, they will be given an opportunity to resubmit the assignment to obtain the required score.

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Payment Methods

Learn more about payment methods, including payment terms & conditions and additional non-tuition fees.

You are expected to spend approximately 5-8 hours per week learning the course content. This includes a weekly pre-recorded webinar of 60 mins duration and attending a live webinar that runs for about 60 mins to facilitate class discussions and allow you to ask questions.

This professional development program is delivered online and has been designed to fit around full-time work. It will take three months to complete.

Registrations are open for our upcoming intakes. Please ensure you book your place at least one week before the start date of the program.

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