Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail
The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method...
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| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2003
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| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf |
| الوسوم: |
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my-uitm-ir.780852023-07-20T02:20:10Z Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail 2003 Ismail, Nurul-Huda Evolutionary programming (Computer science). Genetic algorithms The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method for solving the load flow using the evolutionary programming (EP) method. The principal information obtained from a power-flow study is the magnitude and phase angle of the voltage at each bus and the real and reactive power flowing in each line. The EP developed uses the total active and reactive power mismatches as the objective functions for the load flow solution. It is found that the result from the EP are closed to these obtained from the traditional method. 2003 Thesis https://ir.uitm.edu.my/id/eprint/78085/ https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Abdul Rahman, Titik Khawa |
| topic |
Evolutionary programming (Computer science) Genetic algorithms |
| spellingShingle |
Evolutionary programming (Computer science) Genetic algorithms Ismail, Nurul-Huda Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| description |
The load flow problem can be expressed a set of nonlinear simultaneous algebraic equations, then it is impossible to have multiple solutions. To overcome the limitations of conventional load flow problem, a genetic based load flow optimisation is developed. This report presents an alternative method for solving the load flow using the evolutionary programming (EP) method. The principal information obtained from a power-flow study is the magnitude and phase angle of the voltage at each bus and the real and reactive power flowing in each line. The EP developed uses the total active and reactive power mismatches as the objective functions for the load flow solution. It is found that the result from the EP are closed to these obtained from the traditional method. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Ismail, Nurul-Huda |
| author_facet |
Ismail, Nurul-Huda |
| author_sort |
Ismail, Nurul-Huda |
| title |
Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| title_short |
Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| title_full |
Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| title_fullStr |
Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| title_full_unstemmed |
Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail |
| title_sort |
solving load flow solution using evolutionary programming method / nurul-huda ismail |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2003 |
| url |
https://ir.uitm.edu.my/id/eprint/78085/1/78085.pdf |
| _version_ |
1783736208735600640 |