Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis

• Main Author: Abouhasera, Mohamed Khalid Mohamed
• Format: Monograph
• Language: English
• Published: Universiti Sains Malaysia 2017
• Subjects: T Technology; TK Electrical Engineering. Electronics. Nuclear Engineering
• Online Access: http://eprints.usm.my/53046/1/Enhanced%20Algorithms%20By%20Combining%20Gauss-Seidel%20And%20Newton-Raphson%20In%20Load%20Flow%20Analysis_Mohamed%20Khalid%20Mohamed%20Abouhasera_E3_2017.pdf; http://eprints.usm.my/53046/

Traditional load flow solution methods like Newton-Raphson has a great convergence characteristics with regards to its number of iterations and computing time, but suffers from poor convergence when used to solve ill-conditioned networks or if the starting initial values are far from solution. To overcome these concerns, we present enhanced algorithms for load flow analysis by combining Gauss-Seidel and Newton-Raphson methods that incorporate constant Jacobian to give a more dependable method with tolerable accuracy and shorter computation time.