Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz
This paper presents a new approach to develop a multistage of artificial immune system (AIS) method for solving the unit commitment using suitable method programming. The objective is to find the generating scheduling such that the total operating cost can be minimized, when subjected to the range o...
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| التنسيق: | أطروحة |
| اللغة: | English |
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2009
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| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/78058/1/78058.pdf |
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my-uitm-ir.780582023-07-25T01:31:06Z Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz 2009 Abd Aziz, Nazlan Azizi Electric power distribution. Electric power transmission This paper presents a new approach to develop a multistage of artificial immune system (AIS) method for solving the unit commitment using suitable method programming. The objective is to find the generating scheduling such that the total operating cost can be minimized, when subjected to the range of a set of constraints. This means that it is needed to find the optimal generating unit commitment in the power system for each of twenty four hours. The AIS is an optimization technique for solving unit commitment problem, operates on a system, which is designed to encode each unit's operating schedule based on its minimum up/down time. An initial population of first solution is generated at random. Each schedule is formed here by committing all of the units according to their initial status. Here, the first solution are obtained from a predefined set of solutions (i.e., each and every solution is adjusted to meet the requirements). Then a random recommitment is carried out with respect to the unit's minimum downtimes. The initial population will be clone in the first of AIS step which is known as a clonal selection process. Then selected generating units are subject to an affinity mutation process, which improves their affinity to the selective population. Numerical results are shown the comparison between the total costs of both single and multistage obtained by using the AIS method. 2009 Thesis https://ir.uitm.edu.my/id/eprint/78058/ https://ir.uitm.edu.my/id/eprint/78058/1/78058.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 |
Electric power distribution Electric power transmission |
| spellingShingle |
Electric power distribution Electric power transmission Abd Aziz, Nazlan Azizi Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| description |
This paper presents a new approach to develop a multistage of artificial immune system (AIS) method for solving the unit commitment using suitable method programming. The objective is to find the generating scheduling such that the total operating cost can be minimized, when subjected to the range of a set of constraints. This means that it is needed to find the optimal generating unit commitment in the power system for each of twenty four hours. The AIS is an optimization technique for solving unit commitment problem, operates on a system, which is designed to encode each unit's operating schedule based on its minimum up/down time. An initial population of first solution is generated at random. Each schedule is formed here by committing all of the units according to their initial status. Here, the first solution are obtained from a predefined set of solutions (i.e., each and every solution is adjusted to meet the requirements). Then a random recommitment is carried out with respect to the unit's minimum downtimes. The initial population will be clone in the first of AIS step which is known as a clonal selection process. Then selected generating units are subject to an affinity mutation process, which improves their affinity to the selective population. Numerical results are shown the comparison between the total costs of both single and multistage obtained by using the AIS method. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Abd Aziz, Nazlan Azizi |
| author_facet |
Abd Aziz, Nazlan Azizi |
| author_sort |
Abd Aziz, Nazlan Azizi |
| title |
Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| title_short |
Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| title_full |
Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| title_fullStr |
Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| title_full_unstemmed |
Application of multistage artificial immune system for solving unit commitment / Nazlan Azizi Abd Aziz |
| title_sort |
application of multistage artificial immune system for solving unit commitment / nazlan azizi abd aziz |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2009 |
| url |
https://ir.uitm.edu.my/id/eprint/78058/1/78058.pdf |
| _version_ |
1783736203774787584 |