An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas
This study presents an evolutionary programming method to solve profit based unit commitment (PBUC) problem by considering the power and reserve energy. PBUC problem is a mixed integer and continuous nonlinear optimization problem. PBUC is difficult to solve due to the tremendous dimension, the obje...
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2017
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my.uitm.ir.673142023-02-03T15:36:49Z https://ir.uitm.edu.my/id/eprint/67314/ An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas Thomas, Barbara Minot Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This study presents an evolutionary programming method to solve profit based unit commitment (PBUC) problem by considering the power and reserve energy. PBUC problem is a mixed integer and continuous nonlinear optimization problem. PBUC is difficult to solve due to the tremendous dimension, the objective function is non-linear, and it involves a lot of constraints. In this study, PBUC is used to maximize profit while satisfying the forecasted demand and constraints. Evolutionary Programming (EP) is used in this study to solve PBUC problem while considering market rule. The proposed method is tested on a three generation units system and the results show that this method is able to provide the solution to PBUC problem. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67314/2/67314.pdf An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas. (2017) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Thomas, Barbara Minot An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| description |
This study presents an evolutionary programming method to solve profit based unit commitment (PBUC) problem by considering the power and reserve energy. PBUC problem is a mixed integer and continuous nonlinear optimization problem. PBUC is difficult to solve due to the tremendous dimension, the objective function is non-linear, and it involves a lot of constraints. In this study, PBUC is used to maximize profit while satisfying the forecasted demand and constraints. Evolutionary Programming (EP) is used in this study to solve PBUC problem while considering market rule. The proposed method is tested on a three generation units system and the results show that this method is able to provide the solution to PBUC problem. |
| format |
Thesis |
| author |
Thomas, Barbara Minot |
| author_facet |
Thomas, Barbara Minot |
| author_sort |
Thomas, Barbara Minot |
| title |
An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| title_short |
An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| title_full |
An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| title_fullStr |
An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| title_full_unstemmed |
An evolutionary programming approach to solve price-based unit commitment (PBUC) problem in electricity market / Barbara Minot Thomas |
| title_sort |
evolutionary programming approach to solve price-based unit commitment (pbuc) problem in electricity market / barbara minot thomas |
| publishDate |
2017 |
| url |
https://ir.uitm.edu.my/id/eprint/67314/2/67314.pdf https://ir.uitm.edu.my/id/eprint/67314/ |
| _version_ |
1758581655423942656 |
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13.211869 |