Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system
Abstract Availability of a dependable electricity source is essential for improving living standards. When designing a micro-grid system, two key factors must be considered: cost-effectiveness and service quality. A major challenge in hybrid system design is balancing cost and reliability. To addres...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95302-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849226382772535296 |
|---|---|
| author | Radwa S. A. Gad Hegazy Zaher H. Al-Wahsh M. H. Eid Wael M. AlMetwaly Islam M. Abdelqawee |
| author_facet | Radwa S. A. Gad Hegazy Zaher H. Al-Wahsh M. H. Eid Wael M. AlMetwaly Islam M. Abdelqawee |
| author_sort | Radwa S. A. Gad |
| collection | DOAJ |
| description | Abstract Availability of a dependable electricity source is essential for improving living standards. When designing a micro-grid system, two key factors must be considered: cost-effectiveness and service quality. A major challenge in hybrid system design is balancing cost and reliability. To address this, a Renewable Energy System (RES) is optimized using a hybrid PV/Wind system with a diesel generator and battery storage. A novel hybrid harbor seal jellyfish searching (HHSJS) method is introduced for system configuration and component sizing. HHSJS seeks to address the problem with the investigation of the current harbor seal whiskers optimization algorithm (HSWOA). A temporal control technique is used to switch between JS and HSWOA operators throughout the search operation. The effectiveness of HHSJS is tested using 50 benchmark functions. Recent hourly wind speed data from two meteorological stations in Egypt: the Northwest Coast area and the New Valley Governorate. Despite the complexity of RES design, the optimal component sizing has been effectively determined for each location using HHSJS. This suggests that RES can be a viable solution for electrification projects, improving energy access in remote Egyptian regions and other developing areas with similar climates. |
| format | Article |
| id | doaj-art-cb60051355f344f291e9d2ad80a92b84 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-cb60051355f344f291e9d2ad80a92b842025-08-24T11:24:47ZengNature PortfolioScientific Reports2045-23222025-08-0115112810.1038/s41598-025-95302-5Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy systemRadwa S. A. Gad0Hegazy Zaher1H. Al-Wahsh2M. H. Eid3Wael M. AlMetwaly4Islam M. Abdelqawee5Basic Science Department, Faculty of Engineering at Shoubra, Benha UniversityFaculty of Graduate Studies for Statistical Research, Cairo UniversityBasic Science Department, Faculty of Engineering at Shoubra, Benha UniversityBasic Science Department, Faculty of Engineering at Shoubra, Benha UniversityDepartment of Geography and GIS, Faculty of African Postgraduate Studies, Cairo UniversityElectrical Engineering Department, Faculty of Engineering at Shoubra, Benha UniversityAbstract Availability of a dependable electricity source is essential for improving living standards. When designing a micro-grid system, two key factors must be considered: cost-effectiveness and service quality. A major challenge in hybrid system design is balancing cost and reliability. To address this, a Renewable Energy System (RES) is optimized using a hybrid PV/Wind system with a diesel generator and battery storage. A novel hybrid harbor seal jellyfish searching (HHSJS) method is introduced for system configuration and component sizing. HHSJS seeks to address the problem with the investigation of the current harbor seal whiskers optimization algorithm (HSWOA). A temporal control technique is used to switch between JS and HSWOA operators throughout the search operation. The effectiveness of HHSJS is tested using 50 benchmark functions. Recent hourly wind speed data from two meteorological stations in Egypt: the Northwest Coast area and the New Valley Governorate. Despite the complexity of RES design, the optimal component sizing has been effectively determined for each location using HHSJS. This suggests that RES can be a viable solution for electrification projects, improving energy access in remote Egyptian regions and other developing areas with similar climates.https://doi.org/10.1038/s41598-025-95302-5OptimizationRenewable energy systemsHybrid harbor seal jellyfish optimizerPVCOELPSP |
| spellingShingle | Radwa S. A. Gad Hegazy Zaher H. Al-Wahsh M. H. Eid Wael M. AlMetwaly Islam M. Abdelqawee Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system Scientific Reports Optimization Renewable energy systems Hybrid harbor seal jellyfish optimizer PV COE LPSP |
| title | Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| title_full | Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| title_fullStr | Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| title_full_unstemmed | Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| title_short | Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| title_sort | hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system |
| topic | Optimization Renewable energy systems Hybrid harbor seal jellyfish optimizer PV COE LPSP |
| url | https://doi.org/10.1038/s41598-025-95302-5 |
| work_keys_str_mv | AT radwasagad hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem AT hegazyzaher hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem AT halwahsh hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem AT mheid hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem AT waelmalmetwaly hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem AT islammabdelqawee hybridharborsealandjellyfishoptimizationtechniqueforselectingtheoptimallocationofhybridrenewableenergysystem |