Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles
Objective
Main objective of this project is to regulates the power of electric vehicles while maintaining the energy needs of each EV and the later controls the output power of reheat turbine system according to the frequency variation.
Abstract
In this project, an isolated microgrid having a reheat turbine system, wind turbine system, photovoltaic system, and electric vehicles is studied. The output of the renewables is not controlled to utilize its maximum output power. Therefore, adaptive droop control and fuzzy PI control mechanisms are implemented to cater to the frequency variations of the isolated microgrid; the former regulates the power of electric vehicles while maintaining the energy needs of each EV and the later controls the output power of reheat turbine system according to the frequency variation.
Furthermore, the genetic algorithm optimization toolbox is utilized to optimize the parameters of the adaptive and fuzzy PI controllers. The proposed model is developed in MATLAB/Simulink which shows that these control techniques effectively sustained the system frequency of isolated microgrid in the desired limits.
Keywords: Adaptive droop control, electric vehicles, frequency regulation, fuzzy PI control, GA
optimization technique, renewable energy sources, reheat turbine system.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software Configuration:
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 reheat turbine system.
- Design of electric vehicle model.
- Design of PV system.
- Introduction to PV system.
- Introduction to wind power generation system.
- Design of wind power generation system.
- Introduction to electrical drives.
- Introduction to matlab/simulink.
- Design of simpower system tool box.
- Analysis of power converters.
- Introduction to controllers.
- We can learn about synchronous reference frame theory.
- We can learn about clark’s transformation.
- Design of fuzzy pi controller.
- Introduction to the types of filters.
- Introduction to closed loop, open loop control methods.
- Study of PWM techniques.
- Design of PWM techniques.
- Study of energy storage systems.
- Design of Adaptive droop control.
- Project Development Skills:
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Demo Video
Request for Video
Paper PublishingRequest Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
