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| Content Provider | IET Digital Library |
|---|---|
| Author | Askarzadeh, Alireza |
| Abstract | The main contributions of this study are to (i) incorporate tidal power into a hybrid PV/wind/battery renewable energy system and (ii) introduce a new metaheuristic technique named crow search algorithm (CSA) for optimisation of the PV/wind/tidal/battery system. For this aim, power equations of the different components are introduced and an objective function is defined based on the economic analysis of the system. The proposed CSA is then used to optimally size the PV/wind/tidal/battery system. On the case study, simulation results show that using tidal energy decreases the total cost of the system. Moreover, the proposed CSA produces better results in comparison with two well-known metaheuristic methods, namely, particle swarm optimisation and genetic algorithm in terms of accuracy and run time. |
| Starting Page | 152 |
| Ending Page | 164 |
| Page Count | 13 |
| ISSN | 17521416 |
| Volume Number | 11 |
| e-ISSN | 17521424 |
| Issue Number | Issue 1, Jan (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/11/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0194 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2016-08-16 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Battery Storage Plants Combinatorial Mathematics Crow Search Algorithm CSA Economic Analysis Electrical Power Generation Genetic Algorithm Hybrid Power System Metaheuristic Technique Optimisation Technique Optimised Autonomous Hybrid PV-wind-tidal-battery System Particle Swarm Optimisation Photovoltaic Power System Power Equation Power Generation Economics Power System Economics Power System Managemen Power System Operation Renewable Energy System Search Problem Solar Power Stations Tidal Power Stations Tidal Power Stations And Plant Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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