Effect of irradiance onyield factor of solar photovoltaic plant — A case study

Jena, Satyaranjan; Sahoo, Swagatika; Panigrahi, Chinmoy Kumar

doi:10.1109/icimia.2017.7975530

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The output of PV systems depends on the prevailing atmospheric conditions, such as ambient temperature and solar irradiance [7,8]. The changes in these parameters due to the climatic conditions as well as the sun's movement throughout the day greatly affect the output energy of PV systems.…”

Section: Introductionmentioning

confidence: 99%

Robust MPPT Control of Stand-Alone Photovoltaic Systems via Adaptive Self-Adjusting Fractional Order PID Controller

Saleem

Ali²,

Iqbal

2023

Energies

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The Photovoltaic (PV) system is an eco-friendly renewable energy system that is integrated with a DC-DC buck-boost converter to generate electrical energy as per the variations in solar irradiance and outdoor temperature. This article proposes a novel Adaptive Fractional Order PID (A-FOPID) compensator with self-adjusting fractional orders to extract maximum power from a stand-alone PV system as ambient conditions change. The reference voltage is generated using a feed-forward neural network. The conventional FOPID compensator, which operates on the output voltage error of the interleaved buck-boost converter, is employed as the baseline maximum-power-point-tracking (MPPT) controller. The baseline controller is retrofitted with an online state-error-driven adaptation law that dynamically modifies the fractional orders of the controller’s integral and differential operators. The adaptation law is formulated as a nonlinear hyperbolic scaling function of the system’s state error and error-derivative variables. This augmentation supplements the controller’s adaptability, enabling it to manipulate flexibly the tightness of the applied control effort as the operating conditions change. The efficacy of the proposed control law is analyzed by carrying out customized simulations in the MATLAB Simulink environment. The simulation results show that the proposed MPPT control scheme yields a mean improvement of 25.4% in tracking accuracy and 11.3% in transient response speed under varying environmental conditions.

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Section: Introductionmentioning

confidence: 99%

Robust MPPT Control of Stand-Alone Photovoltaic Systems via Adaptive Self-Adjusting Fractional Order PID Controller

Saleem

Ali²,

Iqbal

2023

Energies

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“…These PV systems are used, so far, in grid-connected and standalone systems [6]. The PV system portrays nonlinear electrical characteristics, which depend entirely on atmospheric conditions like solar irradiance [7] and temperature [8]. Variation in these factors changes the power produced from the PV module [9].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

et al. 2022

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In this work, a photovoltaic (PV) system integrated with a non-inverting DC-DC buck-boost converter to extract maximum power under varying environmental conditions such as irradiance and temperature is considered. In order to extract maximum power (via maximum power transfer theorem), a robust nonlinear arbitrary order sliding mode-based control is designed for tracking the desired reference, which is generated via feed forward neural networks (FFNN). The proposed control law utilizes some states of the system, which are estimated via the use of a high gain differentiator and a famous flatness property of nonlinear systems. This synthetic control strategy is named neuro-adaptive arbitrary order sliding mode control (NAAOSMC). The overall closed-loop stability is discussed in detail and simulations are carried out in Simulink environment of MATLAB to endorse effectiveness of the developed synthetic control strategy. Finally, comparison of the developed controller with the backstepping controller is done, which ensures the performance in terms of maximum power extraction, steady-state error and more robustness against sudden variations in atmospheric conditions.

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“…It minimizes harmonic, provides better efficiency and improves power supply stability. As control of grid voltage is not feasible directly therefore the entire system is regulated by means of line current which is injected to the grid [2]. In PWM-VSI the power generation and power quality depends upon how well the injected current vector is regulated [3].…”

Section: Introductionmentioning

confidence: 99%

Withdrawn

2019

IJEAT

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A comparison between single band hysteresis current controller and double band hysteresis current controller for a single phase grid integrated pulse width modulated VSI is highlighted in this paper. Disadvantages of the HCC like incapability of using zero output state and bipolar nature of output voltage can be overcome by using double band hysteresis current controller. The output of double band controller (DBC) switches between +VDC and zero or -VDC and zero voltage levels resulting in unipolar nature output voltage which is better than the bipolar one in terms of the harmonic content and output current ripple. It also achieves the zero state output voltage and the switching frequency is also reduces in case of DBC. The studied system is modeled and MATLAB/Simulink environment.

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Effect of irradiance onyield factor of solar photovoltaic plant — A case study

Cited by 3 publications

References 11 publications

Robust MPPT Control of Stand-Alone Photovoltaic Systems via Adaptive Self-Adjusting Fractional Order PID Controller

Robust MPPT Control of Stand-Alone Photovoltaic Systems via Adaptive Self-Adjusting Fractional Order PID Controller

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

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