6533b826fe1ef96bd12847f6
RESEARCH PRODUCT
Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved Dynamic Programming methods
Linh Nguyen TungElenora Riva SanseverinoFabio ViolaThanh Ngo NgocThanh Ngo NgocPietro RomanoQuang Nguyen Phungsubject
OptimizationComputer scienceRenewable Energy Sustainability and the Environment020209 energyPhotovoltaic systemEqualization (audio)Irradiance02 engineering and technologyRadiationSeries and parallel circuitsDynamic programmingSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaMatrix (mathematics)Settore ING-IND/31 - ElettrotecnicaMismatchPhotovoltaic moduleReconfiguration0202 electrical engineering electronic engineering information engineeringElectronic engineeringGeneral Materials ScienceIrradiationMaterials Science (all)description
Abstract The paper presents a complete technique, based on the combination of algorithms, devoted to minimize losses and increase efficiency of Total Cross Tied (TCT) connected photovoltaic (PV) systems under non-homogeneous solar irradiation, based on irradiance equalization criterion. Irradiance equalization is achieved by changing the connections of the solar panels adaptively by a dynamic switching matrix so that total solar radiation on parallel circuits is the most equalized. In this paper, the authors introduce two algorithms. The first one is SmartChoice (SC) algorithm, which is combined with Dynamic Programming (DP) in order to create a hybrid method and obtain better results as compared to established methods for irradiance equalization. The second one is the control algorithm improvement method from Munkres' Assignment Algorithm (MAA) that helps to increase processing speed and lengthen the lifetime of the solar power system by 56% compared with the older MAA. By emulating and experiencing the operation of the PV system under non-homogeneous irradiation condition, obtained results show efficiency and benefits of the proposed method applied to the solar power system operation while lengthening the lifetime of the switching matrix.
year | journal | country | edition | language |
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2017-07-01 |