Particle Swarm Optimization Algorithm for Smart Microgrids
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
In this paper, we explore the Particle Swarm Optimization (PSO) algorithm for smart microgrids, which aims to optimize energy management within microgrid systems. A smart microgrid integrates multiple micro-generation units, including photovoltaic arrays, wind turbines, generators, and energy storage systems. Implementing PSO enables efficient control of these distributed energy resources, enhancing system reliability and adaptability to complex power network conditions. The algorithm improves the utilization efficiency of energy resources and better aligns with user demand. Key implementation aspects include initializing particles representing power dispatch solutions, adapting velocity updates based on fitness functions (e.g., minimizing operational cost or maximizing renewable energy usage), and applying constraints for power balance and storage limits. Thus, the PSO algorithm emerges as a critical direction for advancing future microgrid development.
- Login to Download
- 1 Credits