A hybrid Harris Hawks optimizer for economic load dispatch problems
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://depot.sorbonne.ae/handle/20.500.12458/1308 |
| الوسوم: |
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| _version_ | 1857415064019009537 |
|---|---|
| author | Al-Betar, Mohammed Azmi |
| author2 | Awadallah, Mohammed A. Makhadmeh, Sharif Naser Abu Doush, Iyad Abu Zitar, Raed Alshathri, Samah Abd Elaziz, Mohamed |
| author2_role | author author author author author author |
| author_facet | Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Makhadmeh, Sharif Naser Abu Doush, Iyad Abu Zitar, Raed Alshathri, Samah Abd Elaziz, Mohamed |
| author_role | author |
| dc.creator.none.fl_str_mv | Al-Betar, Mohammed Azmi Awadallah, Mohammed A. Makhadmeh, Sharif Naser Abu Doush, Iyad Abu Zitar, Raed Alshathri, Samah Abd Elaziz, Mohamed |
| dc.date.none.fl_str_mv | 2022-09-30T07:21:54Z 2022-09-30T07:21:54Z 2023 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://depot.sorbonne.ae/handle/20.500.12458/1308 10.1016/j.aej.2022.09.010 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Alexandria Engineering Journal 1110-0168 |
| dc.subject.none.fl_str_mv | Harris Hawks Optimizer Swarm intelligence Power Systems Economic load dispatch B-hill climbing |
| dc.title.none.fl_str_mv | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| dc.type.none.fl_str_mv | Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal article |
| description | This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. Due to the complexity of ELD search space, as it is rigid and deep, the exploitation of HHO is improved by hybridizing it with a recent local search method called adaptive-hill climbing. The HHO can navigate several potential search space regions, while adaptive-hill climbing is used to deeply search for the local optimal solution in each potential region. To evaluate the proposed approach, six versions of ELD cases with various complexities and constraints have been used which are the 6 generation units with 1263 MW of load demand, 13 generation units with 1800 MW of load demand, 13 generation units with 2520 MW of load demand, 15 generation units with 2630 MW of load demand, 40 generation units with 10500 MW of load demand, and 140 generation units with 49342 MW of load demand. Furthermore, the proposed algorithm is evaluated on two ELD real-world cases which are 6 units-1263 MW and 15units-2630 MW. The results show that the proposed algorithm can achieve a significant performance for the majority of the experimented cases. It can achieve the best-reported solution for the ELD case with 15 generation units when compared to 15 well-established methods. Additionally, it obtains the second-best for the ELD case with 140 generation units when compared to 10 well-established methods. In conclusion, the proposed method can be an alternative to solve ELD problems which is efficient. |
| id | sorbonner_5da4f5174a802b0f38ae2acc0b2a3215 |
| identifier_str_mv | 10.1016/j.aej.2022.09.010 |
| language_invalid_str_mv | en |
| network_acronym_str | sorbonner |
| network_name_str | Sorbonne University Abu Dhabi repository |
| oai_identifier_str | oai:depot.sorbonne.ae:20.500.12458/1308 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A hybrid Harris Hawks optimizer for economic load dispatch problemsAl-Betar, Mohammed AzmiAwadallah, Mohammed A.Makhadmeh, Sharif NaserAbu Doush, IyadAbu Zitar, RaedAlshathri, SamahAbd Elaziz, MohamedHarris Hawks OptimizerSwarm intelligencePower SystemsEconomic load dispatchB-hill climbingThis paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. Due to the complexity of ELD search space, as it is rigid and deep, the exploitation of HHO is improved by hybridizing it with a recent local search method called adaptive-hill climbing. The HHO can navigate several potential search space regions, while adaptive-hill climbing is used to deeply search for the local optimal solution in each potential region. To evaluate the proposed approach, six versions of ELD cases with various complexities and constraints have been used which are the 6 generation units with 1263 MW of load demand, 13 generation units with 1800 MW of load demand, 13 generation units with 2520 MW of load demand, 15 generation units with 2630 MW of load demand, 40 generation units with 10500 MW of load demand, and 140 generation units with 49342 MW of load demand. Furthermore, the proposed algorithm is evaluated on two ELD real-world cases which are 6 units-1263 MW and 15units-2630 MW. The results show that the proposed algorithm can achieve a significant performance for the majority of the experimented cases. It can achieve the best-reported solution for the ELD case with 15 generation units when compared to 15 well-established methods. Additionally, it obtains the second-best for the ELD case with 140 generation units when compared to 10 well-established methods. In conclusion, the proposed method can be an alternative to solve ELD problems which is efficient.2022-09-30T07:21:54Z2022-09-30T07:21:54Z2023Controlled Vocabulary for Resource Type Genres::text::periodical::journal::contribution to journal::journal articleapplication/pdfhttps://depot.sorbonne.ae/handle/20.500.12458/130810.1016/j.aej.2022.09.010enAlexandria Engineering Journal1110-0168oai:depot.sorbonne.ae:20.500.12458/13082023-04-26T06:46:43Z |
| spellingShingle | A hybrid Harris Hawks optimizer for economic load dispatch problems Al-Betar, Mohammed Azmi Harris Hawks Optimizer Swarm intelligence Power Systems Economic load dispatch B-hill climbing |
| title | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| title_full | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| title_fullStr | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| title_full_unstemmed | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| title_short | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| title_sort | A hybrid Harris Hawks optimizer for economic load dispatch problems |
| topic | Harris Hawks Optimizer Swarm intelligence Power Systems Economic load dispatch B-hill climbing |
| url | https://depot.sorbonne.ae/handle/20.500.12458/1308 |