About this document
Optimizing Distributed Generation Siting by Mushimiyimana Nkunda Ellen is a document available to read on EtoBox.
This document summarizes the bachelors thesis from North China Electric Power University. The thesis examines using genetic algorithms to optimize the location and sizing of distributed generation resources in electrical distribution networks. Specifically, it formulates the problem as minimizing active power losses within voltage limits. The genetic algorithm technique is applied to the IEEE 33 node test feeder to find the optimal distributed generator placements and capacities. Simulation results in MATLA
- Author
- Mushimiyimana Nkunda Ellen
- Language
- EN