A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm
In this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. The proposed hybrid SSA is abbreviated as HSSA. This is...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , |
| منشور في: |
2021
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/20.500.12458/457 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1857415064380768256 |
|---|---|
| author | Abu Zitar, Raed |
| author2 | Alkoffash, Mahmud Salem Awadallah, Mohammed A. Alweshah, Mohammed Assaleh, Khaled Al-Betar, Mohammed Azmi |
| author2_role | author author author author author |
| author_facet | Abu Zitar, Raed Alkoffash, Mahmud Salem Awadallah, Mohammed A. Alweshah, Mohammed Assaleh, Khaled Al-Betar, Mohammed Azmi |
| author_role | author |
| dc.creator.none.fl_str_mv | Abu Zitar, Raed Alkoffash, Mahmud Salem Awadallah, Mohammed A. Alweshah, Mohammed Assaleh, Khaled Al-Betar, Mohammed Azmi |
| dc.date.none.fl_str_mv | 2021-06-17T07:31:07Z 2021-06-17T07:31:07Z 2021 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Arabian Journal for Science and Engineering, 2021, pp1-20 http://hdl.handle.net/20.500.12458/457 10.1007/s13369-021-05646-z |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Arabian Journal for Science and Engineering 1 20 |
| dc.subject.none.fl_str_mv | Power systems Economic load dispatch Salp swarm algorithm Optimization β-hill climbing optimizer Hybrid metaheuristic |
| dc.title.none.fl_str_mv | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm 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 with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. The proposed hybrid SSA is abbreviated as HSSA. This is to achieve the right balance between the intensification and diversification of the ELD search space. ELD is an important problem in the power systems which is concerned with scheduling the generation units in active generators in optimal way to minimize the fuel cost in accordance with equality and inequality constraints. The proposed HSSA is evaluated using six real-world ELD systems: 3-unit generator, two cases of 13-unit generator, 40-unit generator, 80-unit generator, and 140-unit generator system. These ELD systems are well circulated in the previous literature. The comparative results against 66 well-regarded algorithms are conducted. The results show that the proposed HSSA is able to produce viable and competitive solutions for ELD problems. |
| id | sorbonner_f1b3bf28193096350ddac4cf14f3a600 |
| identifier_str_mv | Arabian Journal for Science and Engineering, 2021, pp1-20 10.1007/s13369-021-05646-z |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/457 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm AlgorithmAbu Zitar, RaedAlkoffash, Mahmud SalemAwadallah, Mohammed A.Alweshah, MohammedAssaleh, KhaledAl-Betar, Mohammed AzmiPower systemsEconomic load dispatchSalp swarm algorithmOptimizationβ-hill climbing optimizerHybrid metaheuristicIn this paper, the economic load dispatch (ELD) problem with valve point effect is tackled using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm and β-hill climbing optimizer as a single point-based algorithm. The proposed hybrid SSA is abbreviated as HSSA. This is to achieve the right balance between the intensification and diversification of the ELD search space. ELD is an important problem in the power systems which is concerned with scheduling the generation units in active generators in optimal way to minimize the fuel cost in accordance with equality and inequality constraints. The proposed HSSA is evaluated using six real-world ELD systems: 3-unit generator, two cases of 13-unit generator, 40-unit generator, 80-unit generator, and 140-unit generator system. These ELD systems are well circulated in the previous literature. The comparative results against 66 well-regarded algorithms are conducted. The results show that the proposed HSSA is able to produce viable and competitive solutions for ELD problems.2021-06-17T07:31:07Z2021-06-17T07:31:07Z2021Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdfArabian Journal for Science and Engineering, 2021, pp1-20http://hdl.handle.net/20.500.12458/45710.1007/s13369-021-05646-zenArabian Journal for Science and Engineering120oai:depot.sorbonne.ae:20.500.12458/4572024-02-06T11:24:19Z |
| spellingShingle | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm Abu Zitar, Raed Power systems Economic load dispatch Salp swarm algorithm Optimization β-hill climbing optimizer Hybrid metaheuristic |
| title | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| title_full | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| title_fullStr | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| title_full_unstemmed | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| title_short | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| title_sort | A Non-convex Economic Load Dispatch Using Hybrid Salp Swarm Algorithm |
| topic | Power systems Economic load dispatch Salp swarm algorithm Optimization β-hill climbing optimizer Hybrid metaheuristic |
| url | http://hdl.handle.net/20.500.12458/457 |