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EE50234: Applied electrical power system analysis

Follow this link for further information on academic years Academic Year: 2018/9
Further information on owning departmentsOwning Department/School: Department of Electronic & Electrical Engineering
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: EX 100%
Further information on unit assessment Assessment Detail:
  • Examination (EX 100%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take EE30215
Further information on descriptions Description: Aims:
To provide details about electrical power system analysis techniques.
To identify the need for various analysis methods within electrical power system operation and planning.
To use case studies and practical coursework to identify appropriate analytical methods for a range of power systems problems.

Learning Outcomes:
To state the reasons for the use of various complex analysis tools in the planning and operation of modern electrical power systems.
To describe the characteristics of the modern analytical tools needed for "Big Data" analytics, load and generation forecasting for systems with embedded generation and large-scale renewable resources, planning studies and operational optimisation.
To use statistical modelling, machine learning or optimisation techniques as appropriate.
To use standard software and suitable data structures to implement the analysis of modern and future electrical power systems, which includes smart-meters, embedded generation and energy storage.

Skills:
To solve appropriate numerical problems (T & A).
To analyse and optimise the performance of the principal subsystems in an existing electrical power system (T & A).
To successfully apply fundamental principles of electrical power systems to a range of technical problems (T & A).
To synthesise a comprehensive and critical review of an appropriate technical area (F & T).

Content:
The component parts of modern electrical Power systems: conventional generation; transmission grid; distribution networks; renewable generation resources; embedded generation; energy storage; electric vehicles; smart meters.
Modelling the behaviour of the modern electrical power system using methods such as "Big Data", statistical modelling, Markov Chains and machine learning.
Optimising the planning and operation of the modern electrical power system using techniques such as Mixed Integer Linear Programming and Monte-Carlo.
Practical implementation of analytical solutions for modern electrical power systems using software packages, such as Matlab and SPSS and languages, such as Python and R.
Further information on programme availabilityProgramme availability:

EE50234 is Compulsory on the following programmes:

Department of Electronic & Electrical Engineering

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