The major focus of this course is on design-oriented analysis of topologies and control methods for various power electronic converters used for dc-dc, dc-ac and ac-dc power conversions in important and current applications. PSpice and Matlab based simulations will be used extensively to reinforce the basic concepts, and as a design tool as well. Power semiconductor devices such as MOSFETs and IGBTs will be discussed briefly.
The aim of this course is to impart the students in Master of Science (Renewable Energy Engineering) and (Electrical Power Systems) with the technical knowledge on Renewable Energy Integration (REI) into the grid.
The mathematical analysis is the branch of mathematics concerned with the theoretical foundations of numerical algorithms for the solution of problems arising in scientific applications. The subject addresses a variety of questions ranging from the approximation of function and integrals to the approximate solution of algebraic, transcendental, differential and integrals equations, with particular emphasis on the stability, accuracy, efficient and reliability of numerical algorithms. In this course, there is a selection of exercises; all these exercises are theoretical, students are urged to apply all the methods described in this module to some simple examples to see what happens. A few of exercises will be found to require some heavy algebraic manipulation. The main objective of this module is to help student to solve and analyse power system and renewable energy problems.
This module examines some of the theories and methods associated with educational research methodologies through a consideration of definitions and purposes of research, approaches to framing the enquiry, methods, analysis and writing up the research project. Students are introduced to a range of research methods which are critically assessed. The module aims to give the confidence, critical understanding and skills to enable students to embark on their own educational research project. It also aims to provide a basis for informed judgements about research methods and evidence those members of research-led profession need to make.
The module helps students to gain an understanding of the key drivers of investment decisions of corporations; how investments are financed in the energy sectors; how to determine the cost of financing investments; how to value financial assets such as stock/shares, bonds and options and, how to communicate the results of the analysis to investors and stakeholders.
The course aims at training the students in Power Systems, Energy Economics and Renewable Energy programs to be able to conduct an assessment and an evaluation of Renewable Energy (RE) and conventional energy power generation technologies.
The goal of the lecture is to present and apply techniques for modelling and the optimization of electrical energy systems. The lecture covers the problem statement, solving methods for simulation and the single and multi-objective optimization problems.
Having successfully completed this module the students should be able to:
1. Stating and solving optimization problem
2. Identify the solving procedure
3. Solve the energy problem and analyze the results
4. Identify appropriate approach and analysis in power system dynamics and stability
5. Calculating system performance of energy system
The course introduces the concepts behind smart grids and future low-carbon networks. It introduces the concepts behind sustainable electricity systems as well as the main renewable and low-carbon generation technologies. Provide tools and techniques so that distributed low carbon technologies (e.g., distributed renewable generation, electric vehicles, electro-thermal technologies, etc.) may be integrated effectively into the power system in the context of both traditional grids and future smart grids.
On successful completion of the course, the student should be able to:
- Present the fundamental concepts associated with Smart Grids
- Explain the smart grid’s structure and function
- Explain the ICT technologies for smart grid
- Review renewable energy generation, grid integration of renewable energy system and energy storage technologies
- Review the concept of intelligent building
- Review the SCADA system as a tool for smart grid implementation
- Contribute to the discussion and selection of solutions for further development of the current grid.