A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area
Economic load dispatch solutions based on published methods, both conventional and artificial, have been very well-formulated through point-to-point movement methodologies to reach a convergence point. Iteration always starts from the starting point to obtain the following solution point, leading to...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9733323/ |
| _version_ | 1818773179770863616 |
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| author | Hermagasantos Zein Jangkung Raharjo Ignatius Riyadi Mardiyanto |
| author_facet | Hermagasantos Zein Jangkung Raharjo Ignatius Riyadi Mardiyanto |
| author_sort | Hermagasantos Zein |
| collection | DOAJ |
| description | Economic load dispatch solutions based on published methods, both conventional and artificial, have been very well-formulated through point-to-point movement methodologies to reach a convergence point. Iteration always starts from the starting point to obtain the following solution point, leading to the convergence point. This paper presents a new method to solve economic load dispatch problems by narrowing the minimum and maximum power limits between generator units. This idea approximates the solution point with a tiny space formed by the very narrow power limits of each generator. The methodology used is the distance between the minimum and maximum power limits of each generator divided into several segments. Then, the best segment is determined by the minimum total cost calculated based on the center point of the segment. Continue to the following iteration process until the best segment is the smallest. This iteration process is another artificial method that works without calculus calculations, so it does not depend on the objective function. This method has been validated using two generator units with differentiable objective functions, with calculation accuracy less than 0.00001 MW of the power distance of the generator limit, and the iteration stops at the <inline-formula> <tex-math notation="LaTeX">$23^{\mathrm {rd}}$ </tex-math></inline-formula> step. Furthermore, this method has been successfully applied to the nondifferentiable objective function, piecewise and valve point effects. |
| first_indexed | 2024-12-18T10:21:08Z |
| format | Article |
| id | doaj.art-883d98f6b4724594badb0a98c8e1b9db |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T10:21:08Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-883d98f6b4724594badb0a98c8e1b9db2022-12-21T21:11:07ZengIEEEIEEE Access2169-35362022-01-0110308223083110.1109/ACCESS.2022.31589289733323A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down AreaHermagasantos Zein0Jangkung Raharjo1https://orcid.org/0000-0001-7082-5583Ignatius Riyadi Mardiyanto2Energy Conversion Engineering Department, State Polytechnic of Bandung (POLBAN), Bandung, IndonesiaSchool of Electrical Engineering, Telkom University, Bandung, IndonesiaEnergy Conversion Engineering Department, State Polytechnic of Bandung (POLBAN), Bandung, IndonesiaEconomic load dispatch solutions based on published methods, both conventional and artificial, have been very well-formulated through point-to-point movement methodologies to reach a convergence point. Iteration always starts from the starting point to obtain the following solution point, leading to the convergence point. This paper presents a new method to solve economic load dispatch problems by narrowing the minimum and maximum power limits between generator units. This idea approximates the solution point with a tiny space formed by the very narrow power limits of each generator. The methodology used is the distance between the minimum and maximum power limits of each generator divided into several segments. Then, the best segment is determined by the minimum total cost calculated based on the center point of the segment. Continue to the following iteration process until the best segment is the smallest. This iteration process is another artificial method that works without calculus calculations, so it does not depend on the objective function. This method has been validated using two generator units with differentiable objective functions, with calculation accuracy less than 0.00001 MW of the power distance of the generator limit, and the iteration stops at the <inline-formula> <tex-math notation="LaTeX">$23^{\mathrm {rd}}$ </tex-math></inline-formula> step. Furthermore, this method has been successfully applied to the nondifferentiable objective function, piecewise and valve point effects.https://ieeexplore.ieee.org/document/9733323/Economic load dispatchnarrow power limitssegmenttiny space |
| spellingShingle | Hermagasantos Zein Jangkung Raharjo Ignatius Riyadi Mardiyanto A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area IEEE Access Economic load dispatch narrow power limits segment tiny space |
| title | A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area |
| title_full | A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area |
| title_fullStr | A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area |
| title_full_unstemmed | A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area |
| title_short | A Method for Completing Economic Load Dispatch Using the Technique of Narrowing Down Area |
| title_sort | method for completing economic load dispatch using the technique of narrowing down area |
| topic | Economic load dispatch narrow power limits segment tiny space |
| url | https://ieeexplore.ieee.org/document/9733323/ |
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