A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm
To address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. Although th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Actuators |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-0825/13/11/431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850149658168393728 |
|---|---|
| author | Dabin Jia Dazhi Wang |
| author_facet | Dabin Jia Dazhi Wang |
| author_sort | Dabin Jia |
| collection | DOAJ |
| description | To address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. Although the Harris Hawk Optimization algorithm has advantages in optimizing multi-modal P-U curves, when the lighting conditions suddenly change, the output characteristic curve will undergo drastic changes, causing the algorithm to oscillate repeatedly at the maximum power point. Moreover, due to its inherent limitations, the Harris Hawk algorithm has a low convergence accuracy, slow tracking speed, and is prone to getting trapped in a local optimum. In order to compensate for the shortcomings of the Harris Hawk Optimization algorithm, the variable step conductance increment method is switched for local exploration to improve the algorithm’s ability to escape from the local optimal solution and reduce power oscillation. Finally, the MPPT control of the proposed strategy was simulated and verified on the MATLAB/Simulink simulation (2021) platform. In the MPPT test experiment, the proposed composite algorithm was applied to simulate and verify uneven irradiance conditions. |
| format | Article |
| id | doaj-art-ee9639e514124845b48ff9ee2775c358 |
| institution | OA Journals |
| issn | 2076-0825 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj-art-ee9639e514124845b48ff9ee2775c3582025-08-20T02:26:50ZengMDPI AGActuators2076-08252024-10-01131143110.3390/act13110431A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) AlgorithmDabin Jia0Dazhi Wang1College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaTo address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. Although the Harris Hawk Optimization algorithm has advantages in optimizing multi-modal P-U curves, when the lighting conditions suddenly change, the output characteristic curve will undergo drastic changes, causing the algorithm to oscillate repeatedly at the maximum power point. Moreover, due to its inherent limitations, the Harris Hawk algorithm has a low convergence accuracy, slow tracking speed, and is prone to getting trapped in a local optimum. In order to compensate for the shortcomings of the Harris Hawk Optimization algorithm, the variable step conductance increment method is switched for local exploration to improve the algorithm’s ability to escape from the local optimal solution and reduce power oscillation. Finally, the MPPT control of the proposed strategy was simulated and verified on the MATLAB/Simulink simulation (2021) platform. In the MPPT test experiment, the proposed composite algorithm was applied to simulate and verify uneven irradiance conditions.https://www.mdpi.com/2076-0825/13/11/431maximum power point tracking (MPPT)multi-peak characteristicsHarris Hawk optimizationvariable step conductance increment method |
| spellingShingle | Dabin Jia Dazhi Wang A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm Actuators maximum power point tracking (MPPT) multi-peak characteristics Harris Hawk optimization variable step conductance increment method |
| title | A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm |
| title_full | A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm |
| title_fullStr | A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm |
| title_full_unstemmed | A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm |
| title_short | A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm |
| title_sort | maximum power point tracking mppt strategy based on harris hawk optimization hho algorithm |
| topic | maximum power point tracking (MPPT) multi-peak characteristics Harris Hawk optimization variable step conductance increment method |
| url | https://www.mdpi.com/2076-0825/13/11/431 |
| work_keys_str_mv | AT dabinjia amaximumpowerpointtrackingmpptstrategybasedonharrishawkoptimizationhhoalgorithm AT dazhiwang amaximumpowerpointtrackingmpptstrategybasedonharrishawkoptimizationhhoalgorithm AT dabinjia maximumpowerpointtrackingmpptstrategybasedonharrishawkoptimizationhhoalgorithm AT dazhiwang maximumpowerpointtrackingmpptstrategybasedonharrishawkoptimizationhhoalgorithm |