Saturday, April 22, 2017

Master Thesis topics

Maximum power point tracking (MPPT) method for efficient Photovoltaic systems at high-altitudes

KEYWORDS:
Maximum power point tracking, photovoltaic, high-altitudes

DESCRIPTION AND OBJECTIVES:
At high-altitudes, the availability of full solar radiation allows to form an efficienct PV system as compared to ground mounted PV systems. The output power of PV module highly depends on three important parameters, i.e. temperature, irradiation and latitude [1]. However, these parameters impede the diffusion of solar radiation in countries with cold climatic conditions. So an optimum solution to this problem is to employ photovoltaic system at high altitudes.
For building an efficient Photovoltaic system in cold climatic conditions, the maximum power point tracking is an important aspect to be exploited [2].  The aim of this thesis is to develop power point tracking algorithm that can ensure high efficiency of the Photovoltaic system at high altitudes. 
   
Master thesis objectives:
  • to investigate state-of-the-art methods of tracking algorithms that has been employed to Photovoltaic systems
  • to analyse the parameters affecting maximum power point tracking in Photovoltaic systems
  • to develop a modified tracking algorithm for achieving high efficiency from Photovoltaic systems
  • to test and validate the modified MPPT algorithm on the PV system

Qualifications:
Students should have a bachelor degree in Information and Communication Technology or a similar degree with an academic level equivalent to the bachelor degree in Engineering.

REFERENCES:

  1. G.S. Aglietti, S. Redi, A.R. Tatnall, T. Markvart (2009) Harnessing high altitude solar power, IEEE Transactions on Energy Conversion, vol.24, no.2, pp. 442-451.
  2. L.G. Antonio,M.B. Saldivar Marquez, O.P. Rodriguez (2016) Maximum power point tracking techniques in photovoltaic systems: A brief review, 13th International Conference on Power Electronics (CEIP), pp. 317-322.


Contact Details:  Ekanki SHARMA : Ekanki.Sharma@aau.at 


To build an algorithm for measuring and storing the data in LEGO robot

DESCRIPTION AND OBJECTIVES:
At high altitudes the Photovoltaic system has the ability to work efficiently as compared to the ground-mounted Photovoltaic system. To test the implemented PV system, it is necessary to measure and store the data for further analysis. However it is a tedious job due to the unsuitable weather conditions.
The goal of this thesis is to build an algorithm to measure and store data in LEGO robot.

Master thesis objectives:
  • to investigate the requirements of LEGO robot for efficient measurement and storage of data
  • to model or program the robot to implement the functions mentioned above
  • to test and validate the performance of robot on site

Qualifications:
Students should have a bachelor degree in Information and Communication Technology or a similar degree with an academic level equivalent to the bachelor degree in Engineering.

Contact Details:  Ekanki SHARMA : Ekanki.Sharma@aau.at 

Friday, January 6, 2017

Comparison of the Open Source Smart Grid Simulation Tools RAPSim and GridLAB-D

Renewable Alternative Powersystems Simulation
When you work on smart grid simulations with renewable energy, you most likely have heard about GridLAB-D which is an open source simulator allowing you to combine renewable energy sources with power flow problems in smart grid networks.
The other tool, RAPSim, comes with a similar goal, however was built based on a different design philosophie. While GridLAB-D comes with a textfile-based configuration of your simulation scenario and is run from command line, RAPSim comes with a graphical user interface allowing to generate your scenarios in a Sim City-like interface.
Midhat Jdeed has compared the two tools in his thesis by defining a number of very simple case studies which have been modeled in both tools.
Running GridLAB-D
In the end, he came to the following findings and conclusions: As expected, GridLAB-D comes with a large user base and a a comprehensive library of models. It was more surprising to find out that making a simple model were sometimes more difficult in GridLAB-D. For example, a household with constant load and a PV system could not be well described with the standard elements, because there is no household with a constant load. This makes sense from a realism point of view, but made it difficult to reproduce the same results in different simulators.
As a conclusion, both tools have their merits, be it for the researcher who wants to run simulations online on a simulation server or a teacher that wants to give some students a quick hands on experience with modeling a microgrid with a renewable energy source.

References
M. Jdeed. Comparison of the Smart Grid Simulation Tools RAPSim and GridLAB-D. Master Thesis, Alpen-Adria-Universität Klagenfurt, November 2016.

D. P. Chassin, J. C. Fuller, and N. Djilali. GridLAB-D: An Agent-Based Simulation Framework for Smart Grids. Journal of Applied Mathematics, vol. 2014, Article ID 492320, 12 pages, 2014. doi:10.1155/2014/492320

M. Pöchacker and W. Elmenreich. Model implementation for the extendable open source power system simulator RAPSim. In Proceedings of the 12th International Workshop on Intelligent Solutions in Embedded Systems (WISES'15), pages 103–108, Ancona, Italy, October 2015.