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/ 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 |
| _version_ | 1848882417330290688 |
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| author | Abouhasera, Mohamed Khalid Mohamed |
| author_facet | Abouhasera, Mohamed Khalid Mohamed |
| author_sort | Abouhasera, Mohamed Khalid Mohamed |
| building | USM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T18:34:35Z |
| format | Monograph |
| id | usm-53046 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:34:35Z |
| publishDate | 2017 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-530462022-06-24T08:35:20Z http://eprints.usm.my/53046/ Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis Abouhasera, Mohamed Khalid Mohamed T Technology TK Electrical Engineering. Electronics. Nuclear Engineering 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. Universiti Sains Malaysia 2017-06-01 Monograph NonPeerReviewed application/pdf en 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 Abouhasera, Mohamed Khalid Mohamed (2017) Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik & Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Abouhasera, Mohamed Khalid Mohamed Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title | Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title_full | Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title_fullStr | Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title_full_unstemmed | Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title_short | Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis |
| title_sort | enhanced algorithms by combining gauss-seidel and newton-raphson in load flow analysis |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/53046/ 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 |