Wireless Sliding MPPT Control of Photovoltaic Systems in Distributed Generation Systems

The aim of a photovoltaic (PV) system’s control is the extraction of the maximum power even if the irradiance, the temperature, or the parameters vary. To do that, a maximum power point tracking (MPPT) algorithm is required. In this work, a sliding control is designed to regulate the PV modules’ out...

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Detalhes bibliográficos
Autores: Delgado Martín, Aránzazu, Cano, Juan M., Sánchez Herrera, María Reyes, Rodríguez Vázquez, Jesús
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/16981
Acesso em linha:http://hdl.handle.net/10272/16981
Access Level:acceso abierto
Palavra-chave:Photovoltaic system
Maximum power point tracking (MPPT)
Sliding mode control
Wireless communication
Descrição
Resumo:The aim of a photovoltaic (PV) system’s control is the extraction of the maximum power even if the irradiance, the temperature, or the parameters vary. To do that, a maximum power point tracking (MPPT) algorithm is required. In this work, a sliding control is designed to regulate the PV modules’ output voltage and make the panel work at the maximum power voltage. This control is selected to improve the robustness, the transient dynamic response, and the time response of the system under changeable environmental conditions, adjusting the duty cycle of the DC/DC converter. The DC/DC converter connected to the PV module output is a buck-boost converter. This configuration presents the advantage of providing voltages lower or higher than supplied by the photovoltaic modules to provide the required voltage to the load (including the voltages ceded by telecommunication loads, amongst others). In addition, a remote sliding control is developed to make the global supervision of the PV system in distributed generation grids. The designed algorithm is tested in an experimental platform, both locally and remotely connected to the base station, to prove the e ectiveness of the sliding control. Thus, the communication e ect in the control is also analyzed.