# Projects:2014S1-02 Network Optimisation in Distributed Generation Systems

## Contents

**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.

**Importance of this project**

This project will combine the modeling, simulation and optimization of the Distributed Generation System that shall be useful for future research. The optimization of the network resulted from this project will be an important suggestion in improving the efficiency and performance of electrical network system that might be affect in financial expenditure in electricity. In this project, the subsystem model will consist of generators, transmission line and Load. There are 4 types of generators that shall be employed in the project. They are; wind generator, PV generator, diesel generator and also battery. Particularly for battery, it will be considered as load as well since battery has an ability to charge and discharge. For transmission line, particular cable for transmission will be observed and used for later analysis. Next, for load, the load profile will be used for analysis, simulation and optimization.

**Current Status of the research**

Currently, from our literature study, the research conducted in optimization of distributed generation is more focus on the size and also the site of DG placement by using particular algorithm such as genetic algorithm or particle swarm. Optimization through sub-system model in the electricity system using Labview as user interface software is still rare. This far, the optimization in Labview for Cable Optimization for wind farm has been conducted by The University Adelaide students, Anthony Pemberton and Thomas Daly [1]. In brief, the optimization done their work engaged genetic algorithm to find the best routing of the cable in order to improve the performance of the system by considering some parameter including power loss that might contributed by the resistance of the transmission cable used. The wind farm position is dispersed in particular position. The result is in the form of a group of solution that can be choose by the user itself. This project’s outcome is in the form of Labview user interface for cable optimization. It is highly possible that their work will be implemented in this project particularly in optimization stages of the system.

**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.