Optimal Energy Harvesting From a Multistrings PV Generator Based on Artificial Bee Colony Algorithm

• Published in: IEEE systems journal Vol. 15; no. 3; pp. 4137 - 4144
• Main Authors: Motahhir, Saad, Chouder, Aissa, Hammoumi, Aboubakr El, Benyoucef, Abou Soufiane, Ghzizal, Abdelaziz El, Kichou, Sofiane, Kara, Kamel, Sanjeevikumar, Padmanaban, Silvestre, Santiago
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Arrays; Artificial bee colony (ABC) algorithm; Artificial bee colony algorithm; Complexity; Configurations; Converters; digital signal processor (DSP); Digital signal processors; Energy harvesting; global maximum power tracking (GMPPT); Irradiance; Maximum power point trackers; Maximum power tracking; multistring photovoltaic (PV) array; Optimization; partially shading conditions (PSC); Particle swarm optimization; Photovoltaic cells; Power management; Search algorithms; Sensors; Shading; Signal processing algorithms; System effectiveness; Topology

Photovoltaic (PV) systems based on multistring configuration are the best effective solution, given its advantages in terms of system availability, reliability, and energy efficiency. In this particular configuration each substring has its own dc-dc converter and a dedicated maximum power search alg...