Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman
This paper proposes Evolutionary Programming (EP) to determine optimal step-function approximation of load duration curve (LDC) at minimum error. The EP model optimally discretized a load duration curve based on Malaysia’s hourly load data in year 2012 for three and six segments of discretized LDC....
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2014
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my.uitm.ir.629662022-06-28T07:26:40Z https://ir.uitm.edu.my/id/eprint/62966/ Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman Othman, Eda Azuin Evolutionary programming (Computer science). Genetic algorithms This paper proposes Evolutionary Programming (EP) to determine optimal step-function approximation of load duration curve (LDC) at minimum error. The EP model optimally discretized a load duration curve based on Malaysia’s hourly load data in year 2012 for three and six segments of discretized LDC. The EP is developed using MatLab programming software. Results show that EP technique is able to provide optimum break points of discretized LDC at minimum error. In the analysis, it shows that the 6-step functions of LDC has a lower total error than the 3-step functions of LDC. The EP technique proposed in this paper is also compared with Dynamic Programming (DP) technique. Results show that EP provides a much shorter elapsed time than DP and have a lower total error for 3-step function of LDC. This EP-based model step function approximation of LDC is very useful for the power system planner to develop accurate generation expansion planning. UiTM Press 2014-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/62966/1/62966.pdf Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman. (2014) Journal of Electrical and Electronic Systems Research (JEESR), 7: 3. pp. 12-17. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/ |
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Evolutionary programming (Computer science). Genetic algorithms |
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Evolutionary programming (Computer science). Genetic algorithms Othman, Eda Azuin Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| description |
This paper proposes Evolutionary Programming (EP) to determine optimal step-function approximation of load duration curve (LDC) at minimum error. The EP model optimally discretized a load duration curve based on Malaysia’s hourly load data in year 2012 for three and six segments of discretized LDC. The EP is
developed using MatLab programming software. Results show that EP technique is able to provide optimum break points of discretized LDC at minimum error. In the analysis, it shows that the 6-step functions of LDC has a lower total error than the 3-step functions of LDC. The EP technique proposed in this paper is also compared with Dynamic Programming (DP) technique. Results show that EP provides a much shorter elapsed time than DP and have a lower total error for 3-step function of LDC. This EP-based model step function approximation of LDC is very useful for the power system planner to develop accurate generation expansion planning. |
| format |
Article |
| author |
Othman, Eda Azuin |
| author_facet |
Othman, Eda Azuin |
| author_sort |
Othman, Eda Azuin |
| title |
Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| title_short |
Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| title_full |
Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| title_fullStr |
Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| title_full_unstemmed |
Optimal step-function approximation of load duration curve using evolutionary programming (EP) / Eda Azuin Othman |
| title_sort |
optimal step-function approximation of load duration curve using evolutionary programming (ep) / eda azuin othman |
| publisher |
UiTM Press |
| publishDate |
2014 |
| url |
https://ir.uitm.edu.my/id/eprint/62966/1/62966.pdf https://ir.uitm.edu.my/id/eprint/62966/ https://jeesr.uitm.edu.my/v1/ |
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13.211869 |