Duration of the Project: August 2021 - October 2021
Guide: Sangeeta Modi
Tools Used: MATLAB, Simulink, MATLAB Toolboxes, ETAP, NEPLAN, DIgSILENT, MiPower
In this phase of my internship project, I implemented an energy slope algorithm, a current change algorithm, and a current retention algorithm for the protection of a DC Microgrid. The algorithm was also verified on a hybrid microgrid. I also used Fourier Analysis to design an auxilliary protection algorithm.
The results of this phase were published in IEEE ICEARS, IJRASET, and JREAS.
Duration of the Project: August 2021 - October 2021
Guide: Sangeeta Modi
Tools Used: MATLAB, Simulink, MATLAB Toolboxes, ETAP, NEPLAN, DIgSILENT, MiPower
Literature Review of modern power systems, challenges faced by power systems, distributed generation, microgrids, renewable energy sources, DC power systems, hybrid power systems, fault analysis, short circuit studies, load flow analysis, control topologies of microgrids, protection challenges, the effect of faults on microgrids and power systems, existing protection algorithms, and machine learning in power systems. I also worked on the simulation and study of IEEE and verified multi-bus systems on NEPLAN and ETAP.
The outcome of this phase was presented as a poster in ICTSGS-I, the abstract on spast.org, and the extended version in ECS Transactions.
Duration of the Project: April 2021 - July 2021
Team: Nirupama Srinivas, Shivam Singh, Manish Gowda, Chinmay Prasanna
Guide: Sangeeta Modi
Tools Used: MATLAB, Arduino IDE, ETAP, Simulink, Related MATLAB Toolboxes
In this project, we implemented overcurrent protection for the IEEE 5 Bus System with hardware-in-loop. We used ETAP to visualize the grid and used MATLAB to perform connect the grid to the Arduino hardware, where we realized the operation of protective devices through relays.
Duration of the Project: December 2020 - March 2021
Team: Nirupama Srinivas, Shivam Singh, Manish Gowda, Chinmay Prasanna
Guide: Sangeeta Modi
Tools Used: MATLAB, Simulink, Related MATLAB Toolboxes
In this project, we designed a fuzzy logic-based maximum power point tracker with seven linguistic variables. We employed the MPPT on a basic solar system and compared the results with the conventional perturb and observe algorithm and a fuzzy logic controller with 5 linguistic variables. We also compared the result of the system with different membership functions.
The results of this project were published in the 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON).