A Novel Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid Tied Systems
The PV systems connected to the grid will be a very significant renewable energy source in the power systems. Numerous researchers believe that in approaching years major amount of energy on the planet will be produced by Photovoltaic grid tied systems. For this reason, it is crucial to enhance th...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2021-08-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2021.03010 |
Summary: | The PV systems connected to the grid will be a very significant renewable energy source in the power systems.
Numerous researchers believe that in approaching years major amount of energy on the planet will be produced
by Photovoltaic grid tied systems. For this reason, it is crucial to enhance the performance of Photovoltaic
grid tied systems, which is facing voltage instabilities, overloading fluctuations during the disturbances.
In order to improve the performance, a novel enhanced active power control strategy with incremental conductance
maximum power point tracking is proposed in order to obtain the constant power from the photovoltaic grid
tied systems. Both single and two-stage Photovoltaic grid tied systems can be effectively controlled by
using this algorithm with a proportional integral controller to enhance the performance and flexible to
control the operating region near maximum power point. The proposed algorithm mitigates the power losses
significantly by generating very few power oscillations of 0.5 kW to 1 kW and an error of about +/-0.5 to
+/-0.9% which is very less oscillation as compared with the conventional perturb & observe-active power
control algorithm. The effectiveness of the proposed algorithm is validated by simulation results along
with stability analysis and experimental setup considering diverse operating conditions. |
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ISSN: | 1582-7445 1844-7600 |