Projects:2014S1-02 Network Optimisation in Distributed Generation Systems
Project Information
Electrical system in Australia is unique. It is marked by the some complex parameters such as fluctuation in electrical price, high demand of electricity, ageing of the electrical system and also the penetration of renewable energy technology into the grid. However such an accurate model of this complex system is still unavailable. Therefore, there should be a model of this system provided so that the system could be optimized.
The aims of this project is to provide the model of the distributed generation system together with the optimization of the system itself by using Labview. The optimization in this project will consider some variables such as power loss, running cost and also efficiency.
Methods and techniques
Raw diagram of the subsystem in this project could be presented as shown in the figure below.
Figure 1. Project’s Sub-system
The following methods and techniques shall be applied in working on this project. Important thing to be noticed is there will be some improvement or changing in this method if in the future there is an issue requiring the changing of the method proposed here.
1. Study and research the related articles regarding the modeling and interpreting the items selected in this project to get a better comprehension in doing this project. Three group of items will be analyzed during this project. They are generators, transmission line and load profile.
2. Analyze, compare, choose and combine the information or technique of modeling used in wide number of research found during the literature skill to mathematically model the wind generator, solar generator, diesel generator and transmission line.
3. Revisit the raw data regarding the wind speed, solar data, and also diesel generator data and confirm their reliability to be used in this project.
4. Implement the mathematic model for generators and transmission line in the Labview. In this part, load profile will also be analyzed in labview.
5. Combine the Labview model of generators and transmission line and connect it to the load and after that, do the simulation.
6. Do the optimization by calculating the optimum value the system can achieve in terms of efficiency, power loss and also running cost. In doing the optimization, before achieving the desired result, there will be some result to compare. The diagram below approaches the overall project that will be built.
Figure 2. Project Simulation’s Diagram
Input means the data that will be processed such as wind speed data, radiation of the sun, diesel fuel, and also some other parameters that will be considered. Settings and control contains the mathematic models of system components (wind power, solar power, etc) and also technique/control to do the optimization. Meanwhile, in the output, the result will be in term of the efficiency of the system, power loss and also the cost. Preliminary studies on modeling the generators have been started. From the studies, there are some approaches and theories that possible to be applied in this project. The generators are wind generator, solar/PV generator, diesel generator and battery.
Group Members
Ade Manu Gah
Tienkha Do
Xiao Mingyu
Supervisors
Dr Nesimi Ertugrul
Dr Wen Soong
References
1. Rajeevan, A.K.,. Shouri, P.V., Nair,U. (2013). Identification of Reliability of Wind Power Generation and its Mathematical Modeling. International Conference on Microelectronics, Communication and Renewable Energy (ICMiCR-2013). IEEE.
2. A, P., & Thomas, D. (2012). Windfarm Cable Network Optimisation. Adelaide: The University of Adelaide.
3. Doumbia, M., Agbossou, K., & Proulx, C. (2009). LabVIEW Modelling and Simulation of a Hydrogen Based photopholtaic/Wind Energy System.
4. Yang Gang, Chen Ming. (2009). LabVIEW Based Simulation System for the Output Characteristics of PV Cells and the Influence of Internal Resistance on It. IEEE Computer Society .
5. Doumbia, M., Agbossou, K., & Proulx, C. (2009). LabVIEW Modelling and Simulation of a Hydrogen Based photopholtaic/Wind Energy System.
