An enhanced RCGA for a rapid and reliable load flow solution of electrical power systems

• Main Authors: Kubba, H., Mokhlis, Hazlie
• Format: Article
• Published: International Journal of Electrical Power & Energy Systems 2012
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/7821/; http://ac.els-cdn.com/S0142061512001615/1-s2.0-S0142061512001615-main.pdf?_tid=ff533ad4-a7d5-11e2-ba56-00000aacb35e&acdnat=1366255013_fc8e076de54262b0b44f4a5d5ae363db

The paper presents a reliable and fast load flow solution by using a real-coded genetic algorithm (RCGA), bus reduction technique and sparsity technique. The proposed load flow solution firstly used reduction technique to eliminate the load buses. Then, the power flow problem is solved for the gener...