Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
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Updated
Apr 3, 2024 - Python
Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
Various projects to go deeper into some of my interests.
Implementation of Pontryagin's Minimum Principle for microgrid energy storage control
Datasets created using iTrust's word class testbeds
The simple approach is to first denoise the signal and then pass the signal through the deep learning layers to obtain the result. The described model in the code will provide an accuracy of more than 85% for the noisy data and around 99% for noiseless data.
Thesis
Microgrid Value Stream Optimization Linear Program
This is my thesis project. It involves designing a control system with Artificial Intelligence (genetic algorithm) for energy management optimization in microgrids. The system monitors and controls battery capacity as well as interactions between the microgrid and the national electric grid.
LP optimization for multi-microgrid energy management using Pyomo.
Voltage and power controller for a 3 phase microinverter to perform grid forming and feeding operations
This repository contains control algorithms for managing a single-phase microgrid, along with a Virtual Hardware-in-the-Loop (VHIL) simulation using Typhoon HIL Control Center.
Towards a Dependable Energy Market: Proof of Authority in a Blockchain-based Peer-to-Peer Microgrid. Paper: https://ieeexplore.ieee.org/document/10027820
This project is in development. It is my attempt to MathWorks' Excellence in Innovation Project 204. This work will be part of my MSc in Automation and Systems Engineering at the Federal University of Santa Catarina.
Repository containing treating an implementattion of Distributed Dual Gradient Tracking for Microgrid Control.
This repository contains code written for Dr. Park's microgrid research at University of Colorado Denver. The purpose is to implement a JADE agent that receives near real-time data from a distributed system of power-grid control/monitoring devices. It should store the data in SQL and send it to a GUI that maps the entire system.
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