2024/25 Taught Postgraduate Module Catalogue
ELEC5516M Smart Grid Analysis
15 creditsClass Size: 80
Module manager: Dr. Amir Abiri Jahromi
Email: A.AbiriJahromi@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
This module is not approved as an Elective
Module summary
This module is intended to provide students with an understanding of the principles of modelling, analysis, operation and planning of sustainable and smart electric power systems.Objectives
This module has the following objectives:- To introduce students to the concepts behind future sustainable and smart electricity systems.
- To develop knowledge and understanding of the issues relating to the economics, operation, planning, control and protection methods of smart grids, and tools to analyse their impact on the grid.
Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes:
1. Apply a comprehensive knowledge of mathematics, statistics, and engineering principles to the solution of complex smart grid problems. Much of the knowledge will be at the forefront of smart grid and informed by a critical awareness of new developments and the wider context of engineering.
2. Formulate and analyse complex smart grid problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.
3. Select and apply appropriate computational and analytical techniques to model complex smart grid problems, discussing the limitations of the techniques employed.
4. Select and critically evaluate technical literature and other sources of information to solve complex smart grid problems.
5. Design solutions for complex smart grid problems that evidence some originality and meet a combination of user, business and customer needs as appropriate. This will involve consideration of applicable health and safety, and commercial matters, codes of practice and industry standards.
6. Apply an integrated or systems approach to the solution of complex smart grid problems.
7. Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity.
8. Adopt a holistic and proportionate approach to the mitigation of security risks.
9. Apply knowledge of engineering management principles, commercial context, project and change management, and relevant legal matters including intellectual property rights.
10. Function effectively as an individual, and as a member of a team.
11. Plan and record self-learning and development as the foundation for lifelong learning/CPD.
Skills Learning Outcomes
On successful completion of the module students will have demonstrated the following skills:
a. Application of science, mathematics and/or engineering principles
b. Problem analysis
c. Application of computational and analytical techniques
d. Searching and using technical literature
e. Design skills
f. Integrated systems approach
g. Risk management
h. Mitigate security risks
i. Engineering and project management
j. Teamwork
k. Lifelong learning
Syllabus
Topics may include, but are not limited to:
• Power system structure and operation: Description of power system structure, mathematical modelling of components, and analysis techniques.
• Fundamentals of grid operation, voltage and frequency control.
• Power flow analysis: formulation of the power flow problem (number of equations and variables, bus classification, etc) and popular solution techniques (Newton-Raphson, DC power flow).
• Fault analysis and protection: modelling of networks under fault, symmetrical fault calculations, asymmetrical fault calculations.
Methods of Assessment
We are currently refreshing our modules to make sure students have the best possible experience. Full assessment details for this module are not available before the start of the academic year, at which time details of the assessment(s) will be provided.
Assessment for this module will consist of;
1 x Coursework
1 x Exam
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Example Class | 6 | 1.00 | 6.00 |
| Lecture | 14 | 1.00 | 14.00 |
| Practical | 1 | 2.00 | 2.00 |
| Independent online learning hours | 8.00 | ||
| Private study hours | 120.00 | ||
| Total Contact hours | 22.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Opportunities for Formative Feedback
Students studying ELEC modules will receive formative feedback in a variety of ways, including the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| In-course Assessment | Coursework | 30.00 |
| Total percentage (Assessment Coursework) | 30.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 3 hr 00 mins | 70.00 |
| Total percentage (Assessment Exams) | 70.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
There is no reading list for this moduleLast updated: 31/07/2024 13:52:03
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD