nassir rouibah - Academia.edu (original) (raw)

nassir rouibah

my name is nassir
Address: Algeria

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Papers by nassir rouibah

Research paper thumbnail of A Method for Parameter Extraction of Photovoltaic Modules

This paper presents an efficient and reliable method to extract parameters of a photovoltaic modu... more This paper presents an efficient and reliable method to extract parameters of a photovoltaic module (two-diode model) from datasheet at different environmental conditions, using a simple MATLAB-based algorithm. In this method, the number of parameters to be determined is six; it consists of a current source in parallel with two diodes. The first diode simulates the diffusion process of the minority carriers into the depletion layer, whereas the second diode corresponds to the recombination in the space charge region of the junction. This model requires only the coordinates of three key points of the I-V curve, i.e., the open-circuit voltage, the short circuit current and the maximum power point. This method is applied to a set of real PV module. This method is applied to a set of real PV modules of different technology.

Research paper thumbnail of A low-cost monitoring system for maximum power point of a photovoltaic system using IoT technique

Integrating the Internet of Things (IoT) technology in solar photovoltaic (PV) systems is conside... more Integrating the Internet of Things (IoT) technology in solar photovoltaic (PV) systems is considered as an important aspect for monitoring, supervising and performances evaluation. The main aim of this work is to design a low-cost monitoring system for the maximum power point tracking (MPPT) in a PV system. Two electronics board have been developed: a dataacquisition sensing and a DC-DC boost converter. The designed monitoring board consists of an embedded board (Arduino Mega 2560 based upon ATmega2560), current and voltage sensors, voltage regulator Mini BEC, LCD Display, and a WiFi module ESP8266 to transmit the monitored data (IPV, VPV, VL, IL and D) on the internet. In addition, a website has been also designed to store and display the monitored data in real time. The designed prototype has been verified experimentally at Renewable Energy Laboratory (REL) of Jijel University, Algeria. Based on the monitored data the users can check easily if the system works well or not by just comparing the measured output power with the one expected by a model.

Research paper thumbnail of IoT-based low-cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

Research paper thumbnail of Power flow control in autonomous micro-grid operation using ants colony optimization under variable load conditions

Power flow control in autonomous micro-grid operation using ants colony optimization under variable load conditions

This paper presents an optimal power flow controller for a utility when the micro-grid is operati... more This paper presents an optimal power flow controller for a utility when the micro-grid is operating in islanded mode, based on a real time self-tuning method. Droop control strategy is presented for accurate power sharing between parallel connected inverters in an AC micro-grid islanded mode. The controller scheme is composed of an inner current control loop and an outer power control loop based on a synchronous reference frame and the conventional PI regulators. A new control scheme based on a combination of droop control and ant colony optimization (ACO) algorithm is proposed in this paper. Droop control aims to share the load change after islanding occurs. ACO is an intelligent searching algorithm that is applied for real-time self-tuning of the power control parameters. The proposed strategy role is that the required load power is shared equally between the micro-grid and the utility based on the ACO algorithm during the load change. These are implemented using code in the Matla...

Research paper thumbnail of IoT‐based low‐cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

IoT‐based low‐cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

ETRI Journal

Research paper thumbnail of A Method for Parameter Extraction of Photovoltaic Modules

This paper presents an efficient and reliable method to extract parameters of a photovoltaic modu... more This paper presents an efficient and reliable method to extract parameters of a photovoltaic module (two-diode model) from datasheet at different environmental conditions, using a simple MATLAB-based algorithm. In this method, the number of parameters to be determined is six; it consists of a current source in parallel with two diodes. The first diode simulates the diffusion process of the minority carriers into the depletion layer, whereas the second diode corresponds to the recombination in the space charge region of the junction. This model requires only the coordinates of three key points of the I-V curve, i.e., the open-circuit voltage, the short circuit current and the maximum power point. This method is applied to a set of real PV module. This method is applied to a set of real PV modules of different technology.

Research paper thumbnail of A low-cost monitoring system for maximum power point of a photovoltaic system using IoT technique

Integrating the Internet of Things (IoT) technology in solar photovoltaic (PV) systems is conside... more Integrating the Internet of Things (IoT) technology in solar photovoltaic (PV) systems is considered as an important aspect for monitoring, supervising and performances evaluation. The main aim of this work is to design a low-cost monitoring system for the maximum power point tracking (MPPT) in a PV system. Two electronics board have been developed: a dataacquisition sensing and a DC-DC boost converter. The designed monitoring board consists of an embedded board (Arduino Mega 2560 based upon ATmega2560), current and voltage sensors, voltage regulator Mini BEC, LCD Display, and a WiFi module ESP8266 to transmit the monitored data (IPV, VPV, VL, IL and D) on the internet. In addition, a website has been also designed to store and display the monitored data in real time. The designed prototype has been verified experimentally at Renewable Energy Laboratory (REL) of Jijel University, Algeria. Based on the monitored data the users can check easily if the system works well or not by just comparing the measured output power with the one expected by a model.

Research paper thumbnail of IoT-based low-cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

Research paper thumbnail of Power flow control in autonomous micro-grid operation using ants colony optimization under variable load conditions

Power flow control in autonomous micro-grid operation using ants colony optimization under variable load conditions

This paper presents an optimal power flow controller for a utility when the micro-grid is operati... more This paper presents an optimal power flow controller for a utility when the micro-grid is operating in islanded mode, based on a real time self-tuning method. Droop control strategy is presented for accurate power sharing between parallel connected inverters in an AC micro-grid islanded mode. The controller scheme is composed of an inner current control loop and an outer power control loop based on a synchronous reference frame and the conventional PI regulators. A new control scheme based on a combination of droop control and ant colony optimization (ACO) algorithm is proposed in this paper. Droop control aims to share the load change after islanding occurs. ACO is an intelligent searching algorithm that is applied for real-time self-tuning of the power control parameters. The proposed strategy role is that the required load power is shared equally between the micro-grid and the utility based on the ACO algorithm during the load change. These are implemented using code in the Matla...

Research paper thumbnail of IoT‐based low‐cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

IoT‐based low‐cost prototype for online monitoring of maximum output power of domestic photovoltaic systems

ETRI Journal

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