Jul 29,2024

015 - Innovations in the Design and Management of Micro and Nano Power Grids

 

 

Innovations in the Design and Management of Micro and Nano Power Grids

 

Course Number: 015

 

Fee: Free

 

Length: 5 Hours

 

Credits: This course qualifies for 5 PDH (unstructured) and 5 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations)

 

Online Self-Directed Format: Primarily Text with Illustrations and Video

 

Course Description (Syllabus):

 

It is important to note that though this course focuses on Micro and Nano power grids, many of the technologies and processes discussed in this course can be applied to larger more traditional primary utility grids.

 

The evolution of power grid systems is at a critical juncture, characterized by the increasing need for efficiency, sustainability, and resilience in energy management. As urbanization accelerates and populations swell, traditional power grids face mounting pressures, including aging infrastructure, fluctuating energy demands, and the integration of renewable energy sources.

 

This necessitates a paradigm shift toward micro and nano power grids—localized energy systems that can operate independently or in conjunction with larger grids. These innovative grid configurations not only enhance energy distribution and reliability but also align with global sustainability goals by facilitating the integration of renewable energy technologies. The implementation of micro and nano grids presents a unique opportunity to harness cutting-edge technologies that can transform energy management practices.

 

This course delves into the intersection of innovative technologies such as the Internet of Things (IoT), Big Data, Immersive Realities, and Artificial Intelligence (AI) in the design and management of micro and nano power grids.

 

By exploring the capabilities of IoT for real-time monitoring and control, the analytical power of Big Data for predictive modeling, and the transformative potential of immersive realities for training and design, engineers will gain a comprehensive understanding of how these technologies can address current challenges in power grid management.

 

Furthermore, the integration of AI into grid optimization processes promises enhanced operational efficiency and reduced downtime, paving the way for autonomous energy systems capable of self-healing. As participants engage with these advanced concepts, they will not only learn to navigate existing challenges but also be equipped to contribute to the future landscape of energy management and innovation.

 

Learning Outcomes: By completing this course you will learn:

 

1. Introduction:

 

* Challenges in Micro and Nano power grid management

* Overview of IoT, Big Data, Immersive Realities & AI in power grid management

 

2. IoT in Micro and Nano Power Grid Management

 

* Overview
* Smart Sensors and Actuators
* Real-Time Data Acquisition and Processing
* Communication Protocols
* Zigbee, LoRa, and NB-IoT Communication Technologies
* Fault Detection
* Case Studies

 

3. Big Data Analytics in Micro and Nano Power Grid Management

 

* Data Collection and Storage
* Data Analysis Techniques
* Predictive Analysis, Anomaly Detection and Fault Diagnosis
* Visualization, Real-Time Monitoring, Decision Making

 

4. Immersive Realities in Micro and Nano Power Grid Management

 

* VR for Design and Simulation
* Creating a Digital Twin
* AR for Maintenance and Training
* MR for Remote Collaboration
* Case Studies

 

5. Artificial Intelligence in Micro and Nano Power Grid Management

 

* Machine and Deep Learning Algorithms
* Supervised and Unsupervised Learning
* Applications of Load Forecasting and Demand Response
* Reducing Down Time and Costs
* AI-Driven Autonomous Grid Management
* Self Healing Grids

 

6. Interoperability and Standards in Integrated Power Grid Systems

 

7. Implementation Software, Tools and Processes

 

* Types of Sensors and Source List
* Types of Actuators and Source List
* Integration of Sensors and Actuators in a Power Grid Management System
* Software, Tools and Process for Big Data Analysis of Power Grids
* Immersive Realities Software Source List for Power Gids
* AI Software Tools for Optimizing Design of Power Grids
* AI Software for Managing Micro and Nano Power Grids

* The Integration of IoT, Big Data, Immersive Realities and AI in the Creation of a Customized Power Grid Management System

* Security Concerns and Solutions

 

8. Immerging Trends and Future Innovation

 

* Blockchain for Energy Trading and Security
* Edge Computing
* Innovations in IoT
* Future of Micro and Nano Power Grids 

 

Who Should Take This Course:

 

Engineer students, electrical, civil, industrial and environmental engineers less familiar with the use of IoT, Big Data, Immersive Realities and AI in the design and management of Micro and Nano power grids and engineers who wish to update their knowledge of these rapidly evolving technologies in this field of engineering.

 

A working knowledge of IoT, Big Data, Immersive Realities and AI technologies is recommended before taking this course. (See eMETA Mini Courses 001 to 004 The Future of Engineering)

 

Course Instructions:

 

ENROLLMENT: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

 

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll and confirm you wish to enroll.

 

Once you have confirmed your enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. You can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

 

Credit Options

 

After completing this course you have the option of either receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured CEU technical learning credits required by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations)

 

To receive your eMETA CEU credit you will be required to take an automated quiz.

 

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

 

Subscribe to our Emailing List

 

eMETA will also be publishing new courses every month focusing on the application of these technologies in a particular sector of engineering. To receive updates on new courses subscribe to our emailing list.