Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country
In this paper optimal designing of two hybrid photovoltaic/wind turbine (PV/WT) systems with different storage include battery and hydrogen is presented with objective of minimising cost of energy generation (COEG) and considering reliability constraint as deficit power probability of the system usi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-05-01
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| Series: | International Journal of Sustainable Energy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/14786451.2020.1716758 |
| _version_ | 1797680307813482496 |
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| author | Masoud Zahedi Vahid Mohammad hajivand Mahmoud Moshkelgosha Navid Parsa Hosain Mansoori |
| author_facet | Masoud Zahedi Vahid Mohammad hajivand Mahmoud Moshkelgosha Navid Parsa Hosain Mansoori |
| author_sort | Masoud Zahedi Vahid |
| collection | DOAJ |
| description | In this paper optimal designing of two hybrid photovoltaic/wind turbine (PV/WT) systems with different storage include battery and hydrogen is presented with objective of minimising cost of energy generation (COEG) and considering reliability constraint as deficit power probability of the system using improved salp swarm optimisation algorithm (ISSOA) for commercial centre area, for Iran country. Different hybrid systems are compared in view of cost and reliability and the optimal size is determined. The results show that the PV/WT with battery storage has lower COEG than PV/WT with hydrogen storage to supply the commercial centre and also its reliability is better than the system integrated with hydrogen. The average cost of per kW of load supply for the PV/WT system with battery and hydrogen storage is 0.216$ and 0.610$, respectively. Superiority of ISSOA is confirmed in comparison with conventional SSOA and particle swarm optimisation in hybrid systems designing. |
| first_indexed | 2024-03-11T23:27:48Z |
| format | Article |
| id | doaj.art-70a25174167f49eaad220ec51bf6cc36 |
| institution | Directory Open Access Journal |
| issn | 1478-6451 1478-646X |
| language | English |
| last_indexed | 2024-03-11T23:27:48Z |
| publishDate | 2020-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Sustainable Energy |
| spelling | doaj.art-70a25174167f49eaad220ec51bf6cc362023-09-20T10:33:46ZengTaylor & Francis GroupInternational Journal of Sustainable Energy1478-64511478-646X2020-05-0139546548510.1080/14786451.2020.17167581716758Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran countryMasoud Zahedi Vahid0Mohammad hajivand1Mahmoud Moshkelgosha2Navid Parsa3Hosain Mansoori4University of Sistan and BaluchestanIslamic Azad UniversityKohgiluyeh and Boyer Ahmad Power Distribution CompanyFars Electricity Distribution CompanyIslamic Azad UniversityIn this paper optimal designing of two hybrid photovoltaic/wind turbine (PV/WT) systems with different storage include battery and hydrogen is presented with objective of minimising cost of energy generation (COEG) and considering reliability constraint as deficit power probability of the system using improved salp swarm optimisation algorithm (ISSOA) for commercial centre area, for Iran country. Different hybrid systems are compared in view of cost and reliability and the optimal size is determined. The results show that the PV/WT with battery storage has lower COEG than PV/WT with hydrogen storage to supply the commercial centre and also its reliability is better than the system integrated with hydrogen. The average cost of per kW of load supply for the PV/WT system with battery and hydrogen storage is 0.216$ and 0.610$, respectively. Superiority of ISSOA is confirmed in comparison with conventional SSOA and particle swarm optimisation in hybrid systems designing.http://dx.doi.org/10.1080/14786451.2020.1716758hybrid photovoltaic/wind systemreliabilitystoragehydrogenbatteryimproved salp swarm optimisation algorithm |
| spellingShingle | Masoud Zahedi Vahid Mohammad hajivand Mahmoud Moshkelgosha Navid Parsa Hosain Mansoori Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country International Journal of Sustainable Energy hybrid photovoltaic/wind system reliability storage hydrogen battery improved salp swarm optimisation algorithm |
| title | Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country |
| title_full | Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country |
| title_fullStr | Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country |
| title_full_unstemmed | Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country |
| title_short | Optimal, reliable and economic designing of renewable energy photovoltaic/wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm, commercial application for Iran country |
| title_sort | optimal reliable and economic designing of renewable energy photovoltaic wind system considering different storage technology using intelligent improved salp swarm optimisation algorithm commercial application for iran country |
| topic | hybrid photovoltaic/wind system reliability storage hydrogen battery improved salp swarm optimisation algorithm |
| url | http://dx.doi.org/10.1080/14786451.2020.1716758 |
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