Partial shading causes uneven levels of irradiance on the pvarray. Uneven distribution of sunlight causes mismatch losses in pv modules connected in series. A significant problem for photovoltaic (pv) systems is part...
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作者：
Fathy, AhmedJouf Univ
Fac Engn Dept Elect Engn Sakaka Saudi Arabia Zagazig Univ
Elect Power & Machine Dept Fac Engn Zagazig Egypt
The operation of the photovoltaic (pv) array under partial shadow conditions (PSCs) has negative effects on the extracted global maximum power (GMP) which is decreased due to the presence of power loss. Rearranging th...
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The operation of the photovoltaic (pv) array under partial shadow conditions (PSCs) has negative effects on the extracted global maximum power (GMP) which is decreased due to the presence of power loss. Rearranging the shaded panels in the array is essential to enhance the GMP and diminish the effect of shadow, this process is known as pvarrayreconfiguration. Most of reported approaches did not guarantee the GMP and applicable to specific dimension of the pvarray. Therefore, this paper proposes a novel methodology incorporated recent metaheuristic approach of butterfly optimization algorithm (BOA) to reconfigure the shaded pvarray optimally and extract the GMP. BOA is selected due to its multiple advantages like ease of implementation, simple in construction, requirement of less controlling parameters, and effectiveness in solving real-time problems. Five shadow patterns are studied and the obtained results via BOA are compared to series-parallel total-cross-tied (SP-TCT), novel structure (NS) puzzle pattern, shade dispersion with NS and grey wolf optimizer (GWO) based arrangements. The proposed BOA succeeded in achieving maximum GMP enhancement of 27.43% compared to SP-TCT configuration. Moreover, Wilcoxon test is investigated for the results of the proposed BOA and GWO. Furthermore, the statistical parameters of both approaches are calculated. The obtained results confirmed the availability of the proposed BOA in reconfiguring the pvarray operated under PSCs optimally.
Under partial shading conditions, the solar photovoltaic (pv) array receives an irregular pattern of solar light intensity which results in the creation of multiple peaks in the power vs voltage (pv) and current vs vo...
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Under partial shading conditions, the solar photovoltaic (pv) array receives an irregular pattern of solar light intensity which results in the creation of multiple peaks in the power vs voltage (pv) and current vs voltage (I-V) plot and ultimately leads to hot spots creation and reduced power generation. Therefore, in this paper, redistribution of the shadow effect is assessed using a newly proposed reconfiguration method for the pvarray called Contour Balancing Rearrangement (CBR) method. The proposed CBR method is based on the "Smash n ' Throw" approach which is applied to reconfigure the total-cross-tied (TCT) topology of the pvarray that redistributes the shading pattern in such a way that the average irradiance of each row is almost the same. Further, a novel pragmatic dynamic cloud model is formulated to realize the partial shading condition as in realistic form at a particular location of the earth's surface. For a more realistic analysis, the movement and acceleration of moving clouds are taken into account along with the coordinates of the place of interest for more accurate values of solar irradiation. Furthermore, different comparative studies are also carried out among the proposed and existing methods of various pvarrayreconfiguration methods to show the efficacy.
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