Intelligent maximum power tracking and inverter hysteresis current control of grid-connected PV systems

Author(s):  
Hatem Diab ◽  
Hadi El-Helw ◽  
Hossam Talaat
Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2075 ◽  
Author(s):  
Triet Nguyen-Van ◽  
Rikiya Abe ◽  
Kenji Tanaka

Most PV systems are usually controlled by a Maximum Power Point Tracking (MPPT) algorithm to maximize the generated electrical power. However, the maximum power is often unstable and depends on the solar irradiance and temperature. This makes it difficult to control the power grid supply-demand balance due to fluctuations caused by the increase of renewable and variable PV systems. This paper proposes a new control algorithm for a PV-connected inverter called Specified Power Point Tracking (SPPT) control in addition to the conventional Maximum Power Point Tracking (MPPT) control. The PV system is controlled to generate the maximum power or a specified power depending on the electricity transactions comes from the electricity trading system. A high-speed FPGA-based digital adaptive hysteresis current control method, which has fast and stable response and simple structure comparing with the popular Sine-triangle Pulse Width Modulation (SPWM) method, is proposed to implement the MPPT and SPPT control. The adaptive hysteresis current band is calculated adaptively to improve a disadvantage of the classical fixed band hysteresis current control on the varying switching frequency. A reference current used in the adaptive hysteresis current control is calculated such that the output power of the PV-connected inverter is maximized in the MPPT control or is maintained at a given value in the SPPT control. The experimental and simulation results show that the PV-connected inverter under the proposed control algorithm generates the desired power almost exactly and yields stable and fast response despite the varying irradiance.


Symmetry ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 44
Author(s):  
Anuchit Aurairat ◽  
Boonyang Plangklang

Under the current situation, it is necessary to harness solar energy to generate more electricity. However, the disadvantage of solar energy is that it takes a lot of space to install solar panels. An option to optimize PV systems is to improve the maximum power point tracking (MPPT) algorithm based on symmetrical management has the advantage of being easy to use without updating the devices. The improved algorithm achieves symmetry between the maximum power point (MPP) and the output of the PV array, resulting in less power loss and increased system efficiency. This paper presents the MPPT of photovoltaic using the current control modifier perturbation and observation plus fuzzy logic control (CCMP&O−FLC MPPT). The algorithm of CCMP&O−FLC MPPT is applied to reduce the setting time and to reduce oscillation around the set-point at a steady state. This concept was experimented with using a boost converter with MATLAB/Simulink software package and implemented by STM32F4VGA microcontroller. The simulation and experiment results are obtained by comparison with traditional P&O under similar operating conditions. The CCMP&O−FLC MPPT can track MPP faster when the irradiation is rapidly changing and, therefore, can reduce the PV system losses. In addition, the advantages of this proposed method can also be applied to improve the performance of existing systems without modifying existing equipment, unlike modern methods that cannot be applied to older systems. The results showed that the MPPT time and the power output efficiency of the proposed algorithm were 146 milliseconds and 99.5%, respectively.


Author(s):  
L. Heru Pratomo ◽  
F. Danang Wijaya ◽  
Eka Firmansyah

This paper presents the study on the impedance matching method in two-stage converters for single phase PV-grid system. The use of PV systems was to obtain the electrical power from the sunlight energy. The system consisted of a Buck-Boost DC-DC converter and a five-level inverter. A Buck-Boost DC-DC converter was used as a means of impedance matching to obtain the maximum power that, in this case, through a method by using the incremental conductance current control algorithm. Meanwhile a five-level inverter was used as an interface to the utilities.  By using this technique, the system came to be simple. The impedance of the power grid, a Buck-Boost DC-DC converter, and a five-level inverter were seen by PV mostly in the area of R<sub>MPP</sub>, enabling the maximum power produced by the PV to be delivered to the grid. To demonstrate the effectiveness of the design, the analysis and simulation results, furthermore, were provided


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