Course Details in 2021/22 Session

Module Title	LM Introductory Module for Electrical Power Systems
School	School of Engineering
Department	Elec, Elec & Sys Engineering
Module Code	04 33128
Module Lead	TBC
Level	Masters Level
Credits	20
Semester	Semester 1
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-64 hours Tutorial-4 hours Project supervision-5 hours Supervised time in studio/workshop-21 hours Guided independent study-106 hours Total: 200 hours
Exclusions
Description	There are two parts to this module. In Part 1 an introduction for three M.Sc. programmes (MSc in Electronic and Computer Engineering; MSc in Communications Engineering, MSc in Electrical Power Systems) is given. Part 2 focuses on aspects relevant to some other modules in the MSc Electrical Power Systems Engineering programme and also expected to be useful for MSc project. Part 1: Case studies in Professional Engineering covering: Professional and ethical conduct in engineering; The commercial and social context; Management and business practices; Sustainable development; Regulatory requirements; Health & safety, environmental and commercial risk; Introduction to signal processing; Integral transforms; Basic probability concepts; Introduction to data analysis; Programming in Matlab; Presentation and report writing skills. Part 2: The module will introduce basic concepts and programming skills using MATLAB; develop skills in modeling generic differential equations using SIMULINK; develop skills in modeling power electronic dynamic systems; develop skills in modelling electrical machine dynamic systems and develop advanced skills in modelling complex electrical power systems and dynamics using S-function and user-defined function. The module will introduce the methods for control system design for linear and time-invariant dynamics, and this will include classical methods for single input – single output (SISO) systems; both analogue and digital controller designs based on frequency-response, prototype closed loop dynamics and pole-placement techniques; state-space based methods in the design of state feedback and state-feedback-observer controllers for multivariable systems based on pole placement in MATLAB. The module will introduce basic concepts of smart grids, smart grid architecture designs. This module will then introduce major smart grid technologies. This will be followed by the performance analysis tools for smart grids. Finally the module will provide the understanding of interoperability, standards and security needs for smart grids developments.
Learning Outcomes	By the end of the module students should be able to: Demonstrate an understanding of the economic, legal, social, ethical and environmental context associated with their engineering studies; Perform basic analysis of data; Use programming techniques in Matlab; Demonstrate a working knowledge of the issues relevant to disseminating research, including verbal and written communication skills; Develop skills in modeling generic differential equations using SIMULINK; Develop skills in modeling power electronic dynamic systems; Develop skills in modelling electrical machine dynamic systems; Develop advanced skills in modelling complex electrical power systems and dynamics using S-function and user-defined function; Design a SISO analogue or digital controller that achieves the transient and steady-state specifications when applied to a plant that can be modelled as a liner dynamic system under additive disturbances; Perform a multivariable control design applying state feedback-observer controller and develop the initial prototype; Apply feedback and compensation techniques in order to reduce the impact of disturbances on existing controller performance; Introduce basic concepts of smart grids, smart grid architecture designs; Introduce major smart grid technologies; Develop understanding of performance analysis tools for smart grids; Understand interoperability, standards and security needs for smart grids developments.
Assessment	33128-01 : Module Mark : Mixed (100%)
Assessment Methods & Exceptions	Main assessment (50%) coursework (corresponding to Part 1) after the module delivered (Canvas submission) – consisting of Responsible Engineer part (assessed by a group presentation and report) and Technical part (may be assessed by a report or several Canvas-based timed summative assessments, e.g., quizzes) and (50%) test (corresponding to Part 2): Option A: 2 hour closed book examination at end of module (January exam) Option B: Open book assessment released and submitted via Canvas Supplementary/Reassessment Reassessment to match the main assessment method with due consideration made to any restrictions imposed at the time of reassessment. Students can carry forward passed assessment components from main assessment.
Other
Reading List