Economic load dispatch using memetic sine cosine algorithm
In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1260 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1857415063136108544 |
|---|---|
| author | Abu Zitar, Raed |
| author2 | Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Assaleh, Khaled |
| author2_role | author author author |
| author_facet | Abu Zitar, Raed Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Assaleh, Khaled |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Assaleh, Khaled |
| dc.date.none.fl_str_mv | 2022-03-28T06:35:23Z 2022-03-28T06:35:23Z 2022 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 10.1007/s12652-022-03731-1 https://depot.sorbonne.ae/handle/20.500.12458/1260 10.1007/s12652-022-03731-1 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Journal of Ambient Intelligence and Humanized Computing 1868-5137 |
| dc.subject.none.fl_str_mv | Economic load dispatch Hybrid metaheuristics Sine cosine algorithm β-hill climbing optimizer Power systems |
| dc.title.none.fl_str_mv | Economic load dispatch using memetic sine cosine algorithm |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. As other optimization methods, SCA has main shortcoming in exploitation process when a non-linear constraints problem like ELD is tackled. Therefore, β-hill climbing optimizer, a recent local search algorithm, is hybridized as a new operator in SCA to empower its exploitation capability to tackle ELD. The proposed hybrid algorithm is abbreviated as SCA-βHC which is evaluated using two sets of real-world generation cases: (i) 3-units, two versions of 13-units, and 40-units, with neglected Ramp Rate Limits and Prohibited Operating Zones constraints. (ii) 6-units and 15-units with Ramp Rate Limits and Prohibited Operating Zones constraints. The sensitivity analysis of the control parameters for SCA-βHC is initially studied. The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. The comparative evaluation against several state-of-the-art methods show that the proposed method is able to produce new best results for some tested cases as well as the second-best for others. In a nutshell, hybridizing βHC optimizer as a new operator for SCA is very powerful algorithm for tackling ELD problems. |
| id | sorbonner_6c75af156e707b8e09b8101e9c650cd2 |
| identifier_str_mv | 10.1007/s12652-022-03731-1 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1260 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Economic load dispatch using memetic sine cosine algorithmAbu Zitar, RaedAl-Betar, Mohammed AzmiAwadallah, Mohammed A.Assaleh, KhaledEconomic load dispatchHybrid metaheuristicsSine cosine algorithmβ-hill climbing optimizerPower systemsIn this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. As other optimization methods, SCA has main shortcoming in exploitation process when a non-linear constraints problem like ELD is tackled. Therefore, β-hill climbing optimizer, a recent local search algorithm, is hybridized as a new operator in SCA to empower its exploitation capability to tackle ELD. The proposed hybrid algorithm is abbreviated as SCA-βHC which is evaluated using two sets of real-world generation cases: (i) 3-units, two versions of 13-units, and 40-units, with neglected Ramp Rate Limits and Prohibited Operating Zones constraints. (ii) 6-units and 15-units with Ramp Rate Limits and Prohibited Operating Zones constraints. The sensitivity analysis of the control parameters for SCA-βHC is initially studied. The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. The comparative evaluation against several state-of-the-art methods show that the proposed method is able to produce new best results for some tested cases as well as the second-best for others. In a nutshell, hybridizing βHC optimizer as a new operator for SCA is very powerful algorithm for tackling ELD problems.2022-03-28T06:35:23Z2022-03-28T06:35:23Z2022Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdf10.1007/s12652-022-03731-1https://depot.sorbonne.ae/handle/20.500.12458/126010.1007/s12652-022-03731-1enJournal of Ambient Intelligence and Humanized Computing1868-5137oai:depot.sorbonne.ae:20.500.12458/12602024-09-11T10:58:00Z |
| spellingShingle | Economic load dispatch using memetic sine cosine algorithm Abu Zitar, Raed Economic load dispatch Hybrid metaheuristics Sine cosine algorithm β-hill climbing optimizer Power systems |
| title | Economic load dispatch using memetic sine cosine algorithm |
| title_full | Economic load dispatch using memetic sine cosine algorithm |
| title_fullStr | Economic load dispatch using memetic sine cosine algorithm |
| title_full_unstemmed | Economic load dispatch using memetic sine cosine algorithm |
| title_short | Economic load dispatch using memetic sine cosine algorithm |
| title_sort | Economic load dispatch using memetic sine cosine algorithm |
| topic | Economic load dispatch Hybrid metaheuristics Sine cosine algorithm β-hill climbing optimizer Power systems |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1260 |