Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis
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 ov...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2017
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| 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/ |
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| Summary: | 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. |
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