Application of improved bat algorithm for solar PV maximum power point tracking under partially shaded condition
The Boost circuit is added at the terminal of equivalent circuit to realize the PWM, and the MPPT system based on the Boost circuit is shown in Fig. 6. The MPPT system based on the Boost circuit. [Display omitted] •In the paper improved bat algorithm is used to find global optimal point.•An adaptive...
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| Published in | Applied soft computing Vol. 62; pp. 101 - 109 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.01.2018
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1568-4946 1872-9681 |
| DOI | 10.1016/j.asoc.2017.10.039 |
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| Abstract | The Boost circuit is added at the terminal of equivalent circuit to realize the PWM, and the MPPT system based on the Boost circuit is shown in Fig. 6.
The MPPT system based on the Boost circuit.
[Display omitted]
•In the paper improved bat algorithm is used to find global optimal point.•An adaptive weight is introduced to enhance the global searching ability of earlier stage and the local searching ability of later stage.•Dynamic contraction is also used to decrease the search section more effectively.•Premature convergence of the population affected by the local extremum is avoided.•Improved bat algorithm can find the global optimal point fast, with high precision, under the partially shaded condition.
The power output curves of solar photovoltaic (PV) system have multiple peaks under partially shaded condition. As the same as traditional MPPT (Maximum Power Point Tracking) search methods, bat algorithm often makes optimized results fall into local extremum. So an improved bat algorithm is proposed. Chaos search strategy is introduced in initial arrangement to improve the uniformity and ergodicity of population. Adapting weight is introduced to balance the global searching ability and the local searching ability. Dynamic contraction regain decreases the search range more effectively. Compared with the original algorithm, the rapidity and accuracy of algorithm have been improved. The simulation shows that improved bat algorithm can find the globally optimal point fast, with high precision, under the partially shaded condition. |
|---|---|
| AbstractList | The Boost circuit is added at the terminal of equivalent circuit to realize the PWM, and the MPPT system based on the Boost circuit is shown in Fig. 6.
The MPPT system based on the Boost circuit.
[Display omitted]
•In the paper improved bat algorithm is used to find global optimal point.•An adaptive weight is introduced to enhance the global searching ability of earlier stage and the local searching ability of later stage.•Dynamic contraction is also used to decrease the search section more effectively.•Premature convergence of the population affected by the local extremum is avoided.•Improved bat algorithm can find the global optimal point fast, with high precision, under the partially shaded condition.
The power output curves of solar photovoltaic (PV) system have multiple peaks under partially shaded condition. As the same as traditional MPPT (Maximum Power Point Tracking) search methods, bat algorithm often makes optimized results fall into local extremum. So an improved bat algorithm is proposed. Chaos search strategy is introduced in initial arrangement to improve the uniformity and ergodicity of population. Adapting weight is introduced to balance the global searching ability and the local searching ability. Dynamic contraction regain decreases the search range more effectively. Compared with the original algorithm, the rapidity and accuracy of algorithm have been improved. The simulation shows that improved bat algorithm can find the globally optimal point fast, with high precision, under the partially shaded condition. |
| Author | Yu, Danqi Wu, Zhongqiang |
| Author_xml | – sequence: 1 givenname: Zhongqiang orcidid: 0000-0003-0650-9767 surname: Wu fullname: Wu, Zhongqiang email: mewzq@163.com – sequence: 2 givenname: Danqi surname: Yu fullname: Yu, Danqi |
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| SubjectTerms | Bat algorithm Chaos search strategy Local extremum Maximum power point tracking Solar battery |
| Title | Application of improved bat algorithm for solar PV maximum power point tracking under partially shaded condition |
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