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Optimal Photovoltaic Array Dynamic Reconfiguration Strategy Based on Direct Power Evaluation
- Source :
- IEEE Access, Vol 8, Pp 210267-210276 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- In actual operation, photovoltaic arrays inevitably encounter shadow problems, resulting in a power output decline and multiple peaks in the output characteristics. The effect of partial shade can be satisfactorily reduced by photovoltaic array reconfiguration. Almost all current reconfiguration techniques are based on the irradiance equalization principle. However, by analyzing the output characteristics of photovoltaic array, it is found that the irradiance equalization principle improves the output power by increasing only the minimum row current without considering the effect of the voltage, so the reconfiguration techniques based on this principle cannot obtain the global optimal configuration under some partial shading conditions. In order to maximize the output power of photovoltaic array under any partial shaded condition, this paper proposes a reconfiguration strategy based on direct power evaluation. In this approach, the reconfiguration problem is formulated as a 0–1 multi-knapsack problem, and a novel mathematical model is established to directly evaluate the maximum output power of photovoltaic array. Then, the optimal reconfiguration scheme is determined by solving the mathematical model. Finally, the effectiveness of the proposed reconfiguration strategy is proved in theory and simulations.
- Subjects :
- Scheme (programming language)
partial shading
General Computer Science
Computer science
020209 energy
Irradiance
Photovoltaic arrays
02 engineering and technology
Control theory
PV reconfiguration
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
computer.programming_language
Photovoltaic system
General Engineering
Control reconfiguration
021001 nanoscience & nanotechnology
irradiance equalization
Power (physics)
output characteristics
lcsh:Electrical engineering. Electronics. Nuclear engineering
0210 nano-technology
computer
optimization
lcsh:TK1-9971
Voltage
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....e618209c6c216de0057efbbb8dee79fd