Optimal tuning of a wind plant energy production based on improved grey wolf optimizer
The tuning of optimal controller parameters in wind plant is crucial in order to minimize the effect of wake interaction between turbines. The purpose of this paper is to develop an improved grey wolf optimizer (I-GWO) in order to tune the controller parameters of the turbines so that the total ener...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IAES
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/30506/1/Optimal%20tuning%20of%20a%20wind%20plant%20energy%20production.pdf http://umpir.ump.edu.my/id/eprint/30506/ https://doi.org/10.11591/eei.v10i1.2509 https://doi.org/10.11591/eei.v10i1.2509 |
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| Institution: | Universiti Malaysia Pahang Al-Sultan Abdullah |
| Language: | English |
| Summary: | The tuning of optimal controller parameters in wind plant is crucial in order to minimize the effect of wake interaction between turbines. The purpose of this paper is to develop an improved grey wolf optimizer (I-GWO) in order to tune the controller parameters of the turbines so that the total energy production of a wind plant is increased. The updating mechanism of original GWO is modified to improve the efficiency of exploration and exploitation phase while avoiding trapping in local minima solution. A row of ten turbines is considered to evaluate the effectiveness of the I-GWO by maximizing the total energy production. The proposed approach is compared with original GWO and previously published modified GWO. Finally, I-GWO produces the highest total energy production as compared to other methods, as shown in statistical performance analysis. |
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