The aim of this class is to provide you with support for your general academic and professional development.

You'll undertake an advanced investigation of an electronic or electrical engineering topic of your choice, to enhance your learning, and develop presentation and communication skills.

This class will allow you to understand, critically analyse and assess technical requirements for power system operation, management and planning. It will enable you to carry out advanced types of power system analysis as well as understand and use results from these analyses in power system operation and planning. You'll also develop an advanced knowledge of the main concepts related to the function, design and operation of protection schemes for distribution, transmission and generation applications.

You'll develop an understanding of the principles of common power electronic systems. You'll gain familiarity with the techniques required to analyse common power electronic circuits and learn about the basic principles behind the design of rotating electrical machines. The techniques required to analyse basic DC and AC machines will also be investigated.

You'll learn to recognise that disturbances exist within a power system substation, appreciate that these disturbances may affect electromagnetic compatibility and become competent in dealing with the implications of those disturbances.

You'll gain an understanding of the use of power electronic devices, drives and machines for given applications, specifically for electric vehicles. You'll examine the range of energy sources capable of powering ‘independent’ EVs, how these sources work, their performance and degradation issues and how to charge/fuel them.

The objective of this class is to enable you to appreciate the principles of analysis, design and protection of electrical power systems including:

• the design and operational approaches in power systems including electricity generation, transmission and distribution
• the analysis and design of transmission and distribution networks
• power flow, fault and stability calculations
• power system control including load frequency control and economic dispatch
• generation technology implications on power system design and operation.

You'll also study the main concepts related to the requirements, functions, design and operation of protection schemes for power system transmission and distribution systems. You'll gain an advanced understanding of selected protection schemes used in transmission and distribution networks.

This class covers the fundamentals of discrete time convolution, correlation, transform methods, time frequency signal representation, downsampling/upsampling and digital filters that are core to state of the art machine learning and deep learning architectures. The class has an integral Matlab based laboratory set of tasks that students are required to undertake.

The aim of this class is to develop an understanding of the principles by which information can transmitted with varying levels of security and the techniques by which communication systems can be analysed and designed.

This module aims to introduce the basic concepts, mathematical tools and design methods of classical control theory. It also introduces students to advanced control methods and provides a basic understanding of a time-domain approach to control analysis and the design of industrial processes.

The module covers: First and second order systems, delay process, simple saturation models; Simulation tools such as GUI, SIMULINK, MATLAB; Control system performance, transient and steady-state figures of merit, time domain step response, reference tracking and disturbance rejection in time domain; Simple control principles; State space representation of linear systems; Continuous time and discrete-time system fundamentals: eigen-values & eigen-vectors, stability, controllability & observability, canonical forms for systems; State-space control methods: pole placement state feedback control with/without observer design and linear quadratic optimal control.

At the end of this module students will be able to:

• model simple systems with transfer function and state space representation, create simulations using MATLAB and Simulink
• analyse linear open loop and closed loop systems both in frequency and time domain
• understand the theoretical and practical implications of feedback control systems, design control systems using simple PID tuning methods
• assess control performance, make analytical calculations and critical evaluation of control performance-related metrics
• apply and understand the advanced control methods, principles and applications in an industrial context

Assessment and feedback is in the form of a coursework and class test in Semester 1 (15%), a project report (15%) and exam (70%) in Semester 2.

This class will introduce you to the fundamentals of high voltage electrical insulating systems and the principles, mechanisms and characteristics of high voltage discharges in vacuum and condensed media. It will also provide you with a basic understanding of the behaviour of dielectric materials stressed with electric fields and their use in high voltage systems. You'll also gain an understanding of the principles of high voltage generation and impulse testing of the high voltage systems.

Modern energy conversion systems rely on the integration of range of technologies including power electronics, electromechanical actuators and energy storage elements. This class will build knowledge of the building block technologies and show their application to modern energy conversion systems.

This class will present and give an understanding of the economics, trading and pricing of electricity supply and how it is shaped by technical, commercial and regulatory considerations.

It will give you an understanding of power system economics under an environment of multiple suppliers and users, and present the challenges, technologies and value of asset management within an electricity supply industry context. You'll gain a deep appreciation of factors affecting security of supply and how it might be quantified.

This class will provide an understanding of the principles of wind turbine power generation with attention to the wind resource, rotor aerodynamics, structural design, power conversion and control.

It will also examine the socio-economic issues relating to wind power and provide an underpinning in distributed energy resources including small scale generation, energy storage and demand management and their integration and management within power networks.

The objective of this class is to ensure you develop the necessary skills that will allow you to analyse, design, implement and simulate advanced DSP techniques and algorithms for a variety of communications and general engineering problems.

This class provides hands-on experience in translating Digital Signal Processing concepts into real-time embedded systems applications.

Through a combination of lectures, up-to-date technical discussions and hardware programming, you'll learn to design and implement real-time embedded systems through familiarisation with Digital Signal Processors and FPGAs. 

This class will provide an introduction to the techniques relevant to digital images and video. This includes techniques both to process images and video and also to efficiently compress and communicate them.

The class will give you a comprehensive understanding of various image and video processing and coding standards. You'll also study some key applications of these standards.

This class will introduce you to the software engineering process through the development and application of C++ programming skills. You'll become competent in specifying, designing and developing software and in writing and testing programs of moderate complexity.

The aim of the research project is to provide you with an opportunity to bring your knowledge and skills together and deploy them in a significant practical investigation, using relevant engineering literature, and where relevant, initial experiments or simulations.

The aim of this class is to provide you with support for your general academic and professional development.

You'll undertake an advanced investigation of an electronic or electrical engineering topic of your choice, to enhance your learning, and develop presentation and communication skills.

This module aims to provide practical experience of designing a Radio Frequency (RF) capable Internet of Things (IoT) Printed Circuit Board (PCB), featuring a radio, embedded processor, expansion hardware, sensors and digital interfaces, along with an understanding of design considerations and practices.

The purpose of this module is to introduce the applications of data analytics and Artificial Intelligence techniques to power systems problems.  Increased data availability from monitoring in power and energy systems results in high volumes of data which cannot be used to their full potential if manually assessed. This motivates the need for system intelligence to automate tasks and better inform processes through predictive capabilities.

Concepts are introduced via practical examples and industry case studies, allowing students to see where domain expertise can be supported by intelligent systems. The course is assessed with two assignments: one literature-based research exercise and a practical analysis of industry-sourced data. The first assessment is a research exercise to prepare a state-of-the-art review paper. The list of topics covers assets discussed in detail through the lecture series, and students must write about the drivers and needs for condition monitoring data analytics, the state-of-the-art commercial systems and academic research, and identify candidate techniques. The second assessment is a mini-project to implement and test a data-driven analysis technique.

A lab session introduces students to the use of Matlab for analysis of operational transformer data using machine learning techniques. Students are asked to compare and contrast models of their choosing and report on the performance observed and resulting operational implications.

This module aims to fully educate students on the operational challenges and solutions facing offshore wind operators. This will be approached both in terms of:

• O&M planning for project development and final investment decision
• post-warranty asset transfer
• day-to-day operational decisions
• and finally, repowering and life extensions

Students will be able to identify key operational choices and how these manifest in operational metrics (such as availability, OPEX, yield targets). Post-subsidy operation for offshore wind will also be discussed.

This module aims to:

• introduce the fundamentals of high voltage electrical systems and insulating strategies
• provide an understanding of the principles of high voltage diagnostic systems
• provide an understanding of lightning and lightning protection approaches
• provide an understanding of the main principles of grounding of high voltage systems
• provide an understanding of the fundamental principles of electromagnetic compatibility
• appreciate electromagnetic compatibility aspects in relation to power systems

Modern energy conversion systems rely on the integration of a range of technologies, including power electronics, control and system integration. This module will develop knowledge and understanding of these technologies and give the student experience in analysing their performance and selecting and designing systems for modern energy conversion systems.

This module aims to introduce students to the Python programming language, and enable them to design, implement and test useful Python programs.

This module provides the background and skills required to develop Artificial Intelligence systems based on Neural Networks and Deep Learning. Students will learn the theoretical as well as practical foundations of Machine Learning and Neural Networks for an engineering context. Lab exercises augment the taught classes to deepen the learning experience.

This module aims to provide an introduction to the key technologies of energy decarbonisation in heat networks, and transportation (Electrical vehicle, and aerospace).

These associated technologies encompass battery and fuel cells, charging technologies, hydrogen networks, and vehicle designs, interconnected within domains such as electricity, energy, and transportation networks.

This module provides the background and skills required to develop autonomous systems based on Machine Learning and Artificial Intelligence. Students will learn the theoretical as well as practical foundations of Data Science (Machine Learning, Deep Learning) for a design and engineering context. Laboratory exercises augment the taught classes to deepen the learning experience.

The appreciation of responsible data collection and model training and the responsible design of sustainable solutions is a "golden thread" that runs throughout all lectures.

This moduel aims to provide an introduction to the techniques relevant to digital images. This includes techniques both to process images and also to efficiently compress them. The module will give the students a comprehensive understanding of various image processing and coding standards. The students will also study some key applications of these standards

This module aims to provide students with a fundamental understanding of the control of electric generators via power electronics for wind power applications. The module revises all the relevant theory in electric machines and power electronics required to perform electrical and mechanical generator control. As such, this course is suitable for non-specialist engineers.

Impart an advanced understanding of the principles by which information can be transmitted with varying levels of security and the techniques by which communication systems can be designed and implemented for wireline and wireless communication, with a particular emphasis on the physical layer implementation.

In this module, you will develop an understanding of the basic principles behind the design of rotating electrical machines and gain familiarity with the techniques required to analyse basic DC and AC machines and circuits.

This module aims to enable students to appreciate the principles of analysis, design and protection of electrical power systems, including:

• design and operational approaches in power systems, including electricity generation, transmission and distribution.
• analysis and design of transmission and distribution networks
• power flow and fault calculations
• the main concepts related to the requirements, functions, design and operation of protection schemes for power system transmission and distribution systems

This module aims to:

• introduce you to the basic concepts, mathematical tools and design methods of classical control theory
• enable you to use analysis and design tools used in control engineering.
• enable you to analyse and design closed loop control system, specifically using industrial three-term (PID) controllers.
• appreciate the application of control theory in industrial applications.

This module aims to:

• present and give an understanding of the economics, trading and pricing of electricity supply and how it is shaped by technical, commercial and regulatory considerations
• give an understanding of power system economics under an environment of multiple suppliers and users.

This module gives an overarching understanding of the principles of wind power generation, the management of wind farms and their place in the wider power system. The course will cover the wind resource, rotor aerodynamics, wind turbine anatomy, the technologies used and their variations. This will provide an understanding of the lifecycle of a wind farm from site assessment to repowering and decommissioning.

This module helps to develop the necessary skills that will allow you to analyse, design, implement and simulate advanced DSP techniques and algorithms.

Design and implementation of real-time embedded systems through familiarisation with Field Programmable Gate Arrays (FPGAs) and System on Chip (SoC) devices via lectures, up-to-date technical discussions and hardware design.

This course provides hands-on experience in translating Digital Signal Processing concepts into FPGA-based embedded systems applications.

This module will provide the student with a broad appreciation of modern sensor technologies and their implementation in industrially relevant applications.

This module offers understanding of the solar energy industries, including resources, technologies, practical implementation, development, barriers, environmental and sustainable issues. The students will gain familiarity with the techniques required to analyse common solar energy systems that comprise PV system and to enable them to carry out analysis and design of these components.

This module offers understanding of how current and future energy storage systems operate and how these can be used to deal with the variable nature of the demand and supply on the grid in particular due to the intermittent nature of renewable electrical energy sources. The students will gain familiarity with different energy storage technologies. A case study of battery based system will be carried out to learn how to design these components.

The aim of the research project is to provide you with an opportunity to bring your knowledge and skills together and deploy them in a significant practical investigation, using relevant engineering literature, and where relevant, initial experiments or simulations.