Research on MPPT of Photovoltaic Based on IWOA
An Improved Whale Optimization Algorithm (IWOA) based on Particle Swarm Optimization (PSO) is proposed to track the maximum power point of photovoltaic power supply accurately. Find the optimal value in the parameter space to achieve the optimal tracking effect of the system. Considering the historical optimal position of particle and particle swarm, the chemotactic factor of WOA algorithm is improved. Results show that IWOA improves the performance of the control system, satisfies the requirements of automatic control, improves the accuracy, speed and stability of the system, makes the system run well, and improves the current situation of inaccurate tracking of the maximum power point of photovoltaics.
Authors
- Siyu Wang (ORCID: https://orcid.org/0000-0002-1242-3479)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-1049-4249)
- Yunsheng Wang (ORCID: https://orcid.org/0000-0002-0348-4608)
- Chenchen Tian
Institutions
- Dongbei University of Finance and Economics (CN)
- Dalian University (CN)
- Institute of New Materials (CN)
- Air Force Communication NCO Academy
Publication Details
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1109/iccea65460.2025.11102131
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00