Dynamic Voltage Restorer-based Power Quality Optimization Using Differential Evolution Algorithm
Abstract
Dynamic voltage restorer-based power quality optimization using differential evolution algorithm.
Abstract:
Homes and industrial companies including electric utilities are much concerned about the study of power quality and ways to control it. This is due to equipment and new household’s technologies becoming more sensitive to even small changes of supply voltages. Therefore power quality is one of the most important aspects in smart grid’s vision of becoming a reliable and efficient new generation power grid. This paper attempts to develop a strategy that overcomes poor power quality in smart grid by using Dynamic Voltage Restorer (DVR) due to its efficient compensation of voltage sags and swells. Employing improved Differential Evolution (DE) based on Multi-Objective Parallel Operation (MOPO) due to its fast convergence and ability to give high rank to the population according to hyper-volume defined by the Pareto front.
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Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB / 4 GB (Min)
Processor : I3 / I5(Mostly prefer)
Learning Outcomes
- Introduction to Matlab/Simulink
- What is EISPACK & LINPACK
- How to start with MATLAB
- About Matlab language
- About tools & libraries
- Application of Matlab/Simulink
- About Matlab desktop
- Features of Matlab/Simulink
- Basics on Matlab/Simulink
- Introduction to controllers.
- Study of PWM techniques.
- Project Development Skills:
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- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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