CDR Sample for Electrical Engineering Technician
You can get 100% genuine CDR Sample for Electrical Engineering Technician written by our professional and skilled engineering writers. The samples we provide are the report which have already been submitted and positively assessed by the Engineers Australia for Skilled Migration Visa. Please use the sample for reference purpose only and do not copy and paste from the sample.
CDR Report Sample: Electrical Engineering Technician
ANZSCO Code: 312312
CDR Sample for Electrical Engineering Technician includes all the necessary reports such as Three Career Episodes, Continuing Professional Development, Curriculum Vitae, and Summary Statement. The Content of the CDR Report Sample is as follows:
- ➝ Curriculum Vitae: Resume based on a professional template.
- ➝ Continuing Professional Development Sample: CPD Sample clearly explains the author’s Engineering Knowledge- 1000 words.
- ➝ Electrical Engineering Technician Career Episode Sample – 1: “Optimal Allocation of Static and Dynamic Reactive Power Support for Enhancing Power System Security”- 2100 words.
- ➝ Electrical Engineering Technician Career Episode Sample – 2: “Evaluation of Microwave Microscopy for Dielectric Characterization”- 1850 words.
- ➝ Electrical Engineering Technician Career Episode Sample – 3: “Integrating Plug-In Electric Vehicles into the Electric Power System”- 2047 words.
- ➝ Electrical Engineering Technician Summary Statement Sample: Detail explanation of all the competency elements- 2500 words.
Electrical Engineering Technician Career Episode Report: Sample 1
Project Name: Optimal Allocation of Static and Dynamic Reactive Power Support for Enhancing Power System Security
In the first career episode, the author describes the project he completed as a senior student for the partial fulfillment of the requirements of his Bachelor’s Degree. The project’s name was “Optimal Allocation of Static and Dynamic Reactive Power Support for Enhancing Power System Security”. The responsibilities of the author were:
- ➝ To identify the degree and nature of the voltage problem.
- ➝ To develop an approach to identify severe contingencies and vulnerable buses so that voltage-prone areas can be outlined in the network that needs reactive power support.
- ➝ To develop a methodology to better identify optimal locations with reduced integer (location) optimization complexity.
- ➝ To develop a methodology for optimally allocating static and dynamic VAR sources for a single contingency.
- ➝ To develop a methodology with reduced complexity for optimally allocating static and dynamic VAR sources for multiple severe contingencies considered simultaneously.
Electrical Engineering Technician Career Episode Report: Sample 2
Project Name: Evaluation of Microwave Microscopy for Dielectric Characterization
In the second Career Episode, the author explains the project he was involved in when he was a Ph.D. student at the University of Birmingham. The project name was “Evaluation of Microwave Microscopy for Dielectric Characterization”. His key responsibilities in this project were:
- ➝ To derive calculations and measurements of standard samples.
- ➝ To implement the process of measurement of dielectric samples.
- ➝ To check the effect of the coupling coefficient.
- ➝ To demonstrate the uncertainty in the measurement of the relative permittivity of bulk samples.
- ➝ To demonstrate the limitations of the image charge model extended to thin films
Electrical Engineering Technician Career Episode Report: Sample 3
Project Name: Integrating Plug-In Electric Vehicles into the Electric Power System
In third Career Episode, the author discusses the project he carried out when he was a university student and was titled “Integrating Plug-In Electric Vehicles into the Electric Power System”. In this project, his role was:
- ➝ To estimate the electric energy and power consumption by fleets of light-duty PEVs.
- ➝ To investigate on-board power electronics topologies for bi-directional vehicle to grid and grid to vehicle power transfer.
- ➝ To create an operating framework for the scheduling and dispatch of electric power by PEV aggressors.
- ➝ To identify the impacts on distribution systems from PEVs under aggregator control.
- ➝ To investigate the pricing of electricity by PHEV aggregators and how it affects the decision-making process of a cost-conscious PHEV owner.
- ➝ To model light duty PEVs for long-term energy and transportation planning at a national scale.
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