Taught course

Smartgrids for Electric Power Systems

Queen's University Belfast · School of Electronics, Electrical Engineering and Computer Science

Entry requirements

Full details can be found on the Queen's University website at http://www.qub.ac.uk/home/StudyatQueens/Coursefinder


Months of entry


Course content

Programme Content

The MSc degree consists of a practical project of a research nature (60 CATS points) plus six modules (120 CATS points) selected from the list below to include the five compulsory modules indicated.

The Postgraduate Diploma consists of six modules (120 CATS points) selected from the list below to include the five compulsory modules indicated.

Compulsory modules

Electrical Machines and Power Systems
Content includes:
- DC and synchronous machines
- Circuit analysis of electrical machines
- Single-phase and three-phase induction machines
- Transient behaviour of machines
- Reluctance Machines
- Machine design considerations and tools
- Synchronous machines:

Intelligent Systems and Control
Content includes:
- Modelling and Simulink simulation
- State-space models of dynamical systems
- State-feedback control and design using Matlab
- Model reference adaptive control
- Introduction to artificial intelligence
- Fuzzy logic and fuzzy control systems
- Neural networks
- Meta-heuristic algorithm with applications to operation and control of power systems with significant penetration of renewable energies.

Power Delivery for Renewable Generation
Content includes:
- Hydro power and generation
- Wind power and generation
- Solar and other energy
- Grid integration and fault analysis
- Phasor measurement units and its application
- Transmission line parameters
- Transmission line models (short, medium and long line)
- Transmission line steady-state and transient operation
- DC transmission

Smart Grids
Content includes:
- Principles of substation automation, wide area monitoring, protection and control systems
- Energy capture technologies, wind and distributed generation integration
- Digital monitoring and measurement of power system parameters
- Phasor measurement, data communications technologies and cybersecurity approaches
- Power quality assessment, measurement and specification of solutions
- Network interoperability, Smart Meters and relevant standards
- Electric Vehicles, network constraints and storage
- Smart Grid design and deployment for generation, transmission and distribution systems
- Market liberalisation, demand side management and economic power system loading

(Sustainable) Energy Systems
Content includes:
- Planning: Markets and Regulation, Forecasting Future Demand, Transmission Infrastructure, New Generation, Economics and Environmental Impact, Plant lifecycle
- Operation: Economic Dispatch, Interconnected Systems
- Dynamics: Load Frequency Control, Non-Synchronous Generation, Reserve, Inertia
- Energy Resources: Wind, Wave, Hydro, Solar, Nuclear, Betz Limit, Photovoltaics
- Active Network Management: Demand Side Management, Deferrable loads, Electric Vehicles
- Protection: Over Current, Impedance/Distance, Co-ordination, Restraint, Loss-of-Mains

Individual Project
The project will take the form of a major study of a given problem relevant to the subject of SmartGrids. The project may include practical material such as a piece of written software, hardware, comprehensive simulation, an experimental test-bench or a proof of concept model that may be further used to generate results. The outcome of the project will be analysed and documented in a detailed technical dissertation with appropriate conclusions and supporting materials.

Optional modules

Network Security and Monitoring
Topics include:
- Network fundamentals, OSI model, TCP/IP, network protocols
- Anatomy of an attack
- Exfiltration and covert communications
- Access control and firewalls
- Secure network architectures
- Packet and flow analysis, Intrusion prevention and detection
- Network analysis tools and emerging topics in network security

Wireless Communication Systems
Content includes:
- Applicable DSP methods and Noise theory
- Spectrum management
- Propagation modelling
- Fundamental capacity limits
- Multiple antennas
- Multi-user systems (multiple access and broadcast)
- Next generation cellular standards (long-term evolution, LTE-Advanced)
- Cognitive radio techniques

Information for international students

Full details can be found on the Queen's University website at http://www.qub.ac.uk/home/StudyatQueens/Coursefinder

Fees and funding

Applicants should refer to the relevant School's website for information. Details may be found at http://www.qub.ac.uk/SchoolsDepartments

Qualification and course duration


full time
12 months

Course contact details

The Programme Director