Optimizing Method for Photovoltaic Water-Pumping Systems under Partial Shading and Changing Pump Head

Perla Yazmín Sevilla-Camacho (), José Billerman Robles-Ocampo (), Sergio De la Cruz-Arreola, Marco Antonio Zúñiga-Reyes, Andrés López-López, Juvenal Rodríguez-Reséndiz, Marcos Avilés and Horacio Irán Solís-Cisneros
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Perla Yazmín Sevilla-Camacho: Cuerpo Académico de Energía y Sustentabilidad, Universidad Politécnica de Chiapas, Carretera Tuxtla Gutiérrez-Portillo Zaragoza km 21+500, Colonia Las Brisas, Suchiapa C.P. 29150, Mexico
José Billerman Robles-Ocampo: Cuerpo Académico de Energía y Sustentabilidad, Universidad Politécnica de Chiapas, Carretera Tuxtla Gutiérrez-Portillo Zaragoza km 21+500, Colonia Las Brisas, Suchiapa C.P. 29150, Mexico
Sergio De la Cruz-Arreola: Cuerpo Académico de Energía y Sustentabilidad, Universidad Politécnica de Chiapas, Carretera Tuxtla Gutiérrez-Portillo Zaragoza km 21+500, Colonia Las Brisas, Suchiapa C.P. 29150, Mexico
Marco Antonio Zúñiga-Reyes: Departamento de Eléctrica y Electrónica, Tecnológico Nacional de México/IT de Tuxtla Gutiérrez, Carretera Panamericana km 1080, Tuxtla Gutiérrez C.P. 29050, Mexico
Andrés López-López: Centro de Investigación, Innovación y Desarrollo Tecnológico, Universidad del Valle de México, Campus Tuxtla Gutiérrez, Boulevard Los Castillos, Fraccionamiento Montes Azules, Tuxtla Gutiérrez C.P. 29056, Mexico
Juvenal Rodríguez-Reséndiz: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas, Las Campanas, Querétaro C.P 76010, Mexico
Marcos Avilés: Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas, Las Campanas, Querétaro C.P 76010, Mexico
Horacio Irán Solís-Cisneros: Doctorado en Ciencias de la Ingeniería, Tecnológico Nacional de México, Campus Tuxtla Gutiérrez, km 29020, Carretera Panamericana 1080, Bulevares, Tuxtla Gutiérrez C.P. 29050, Mexico

Clean Technol., 2024, vol. 6, issue 2, 1-18

Abstract: Photovoltaic systems for pumping water, based on direct current powered motor pumps, have great application in small rural regions without electrical networks. In addition, these systems provide environmental benefits by replacing fossil fuels. However, these systems reduce their performance due to partial shading, which is magnified by the internal mismatch of the PV modules. This work proposes an intelligent, low-cost, and automatic method to mitigate these effects through the electrical reconfiguration of the PV array. Unlike other reported techniques, this method considers the pump head variations. For that, the global voltage and current supplied by the PV array to the motor pump subsystem are introduced to an artificial neural network and to a third-order equation, which locates the shaded PV module and detects the pump head, respectively. A connection control implements the optimal electrical rearrangement. The selection is based on the identified partial shading pattern and pump head. Finally, the switching matrix modifies the electrical connections between the PV modules on the PV array without changing the interconnection scheme, PV array dimension, or physical location of the PVMs. The proposed approach was implemented in a real PV water pumping system. Low-cost and commercial electronic devices were used. The experimental results show that the output power of the PV array increased by 8.43%, which maintains a more stable level of water extraction and, therefore, a constant flow level.

Keywords: photovoltaic water pumping; artificial intelligence; reconfigurable array; partial shading; changing pumping head (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2024
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