期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 69, 期 10, 页码 10129-10143出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2021.3137595
关键词
Optimization; Maximum power point trackers; Compass; Convergence; Navigation; Tracking; Switches; Hierarchical pigeon-inspired optimization; maximum power point tracking; partial shading conditions; photovoltaic (PV) systems
资金
- National Natural Science Foundation of China [51907031]
- Guangdong Basic and Applied Basic Research Foundation (Guangdong-Guangxi Joint Foundation) [2021A1515410009]
- Brunel Research Initiative and Enterprise Fund
This article proposes a maximum power point tracking (MPPT) method for photovoltaic systems under partial shading conditions (PSCs) based on the variant of the pigeon-inspired optimization (PIO) algorithm. The method integrates the hierarchical network behavior of pigeon flock and revises the algorithm's operators to improve optimization efficiency. It also uses a landmark operator for fast tracking. The proposed method shows superior performance in tracking GMPP and excellent performance in complex PSCs.
This article proposes a novel maximum power point tracking (MPPT) method based on the variant of the pigeon-inspired optimization (PIO) algorithm for photovoltaic systems under partial shading conditions (PSCs). The proposed method integrates the hierarchical network behavior of pigeon flock and revises the map and compass operator of the original PIO algorithm to improve optimization efficiency. In addition, the landmark operator is used to perform a small-scale search to achieve fast tracking. Based on the combination of these mechanisms and dual-mode dynamic tracking scheme, the proposed hierarchical pigeon-inspired optimization (HPIO) MPPT method has a powerful search ability to deal with PSCs. To verify the superiority of the proposed HPIO MPPT method, it is compared with other existing advanced MPPT methods in simulation and experiments. Compared with traditional MPPT techniques based on artificial intelligence, the proposed HPIO MPPT method has a higher success rate in tracking GMPP and excellent tracking speed under PSCs. And the HPIO method also shows excellent performance under complex PSC with multiple clusters and load-variation conditions.
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