About this document
Cost and Emission Optimization in Power Systems by Dr Praveen Kumar is a document available to read on EtoBox.
This project investigates cost and emissions optimization in a 10-unit power generation system using Particle Swarm Optimization (PSO), Teaching-Learning-Based Optimization (TLBO), and a Python-based Search Optimization Algorithm, integrating wind energy. Results show that PSO is more efficient without wind energy, while TLBO excels in cost reduction and environmental benefits with wind energy. The study highlights the significance of advanced optimization techniques for sustainable and cost-effective power
- Author
- Dr Praveen Kumar
- Language
- EN