Programme/Approved Electives for 2020/21
Available as a Free Standing Elective
The smart grid is a modern form of the traditional power grid, which brings computer technology to a standard electricity grid; allowing easier communication between energy retailers, distributors, and customers. Smart grids can help to integrate an increasing amount of renewable energy sources (RES) into the grid. This module is a core module of the MSc Smart Energy Management and explores the model based and machine learning Artificial intelligence techniques, applications in Smart energy field. It is a research-led module which provides students with the ability to to learn from real-world, cutting-edge live projects such as the Smart Energy Network Demonstrator Project (SEND) at Keele University.
The aim of this module is to introduce students to the fundamentals engineering principles of all major sources of smart grid and smart energy, including a detailed understanding of the electricity power systems, renewable energy and multi-vector energy systems.
Intended Learning Outcomes
demonstrate a critical awareness of the basic principles of electrical power systems.: 1,2demonstrate a critical awareness of multi-vector smart energy systems: 1,2describe and critically appraise the engineering challenges associated with renewable energy and energy transition: 2demonstrate and apply the latest technological advances in smart grid such as Artificial intelligence.: 1,2critically evaluate present and future developments in energy infrastructure.: 2
20 hours lectures10 hours tutorial/project120 hours independent study
1: Assignment weighted 20%
Description of Module Assessment
Project assessmentStudents will carry out a small project based on SEND data and produce a report including the methods and simulation results. Minimum 1500 words (excluding diagrams, equations and tables).2: Assignment weighted 80%
ReportA comprehensive report (3000-4000 words) on a Smart Grid.