Browsing by Author "Khenar, Mohammad"

Now showing 1 - 2 of 2

Particle swarm optimisation-based Model and analysis of Photovoltaic Module Characteristics in Snowy Conditions
(2019) Khenar, Mohammad; Hosseini, SeyedKazem; Taheri, Shamsodin; Cretu, Ana-Maria; Pouresmaeil, Edris; Taheri, Hamed
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
In this paper, a novel methodology of PV modeling is proposed to represent the instantaneous electrical characteristics of PV modules covered with snow. The attenuation of the transmitted solar radiation penetrating a layer of snow is rigorously estimated based on the Giddings and LaChapelle theory. This theory introduced the level of radiation that reaches the surface of PV module through snowpack, significantly affected by the snow properties and thickness. The proposed modeling approach is based on the single-diode-five-parameter equivalent circuit model. The parameters of the model are updated through instantaneous measurements of voltage and current that are optimized by the particle swarm optimization algorithm. The proposed approach for modeling snow-covered PV modules was successfully validated in outdoor tests using three different types of PV module technologies typically used in North America's PV farms under different cold weather conditions. In addition, the validity of the proposed model was investigated using real data obtained from the SCADA system of a 12-MW grid-connected PV farm. The proposed model can help improving PV performance under snow conditions and can be considered a powerful tool for the design and selection of PV modules subjected to snow accretion.
PSO-Based Modeling and Analysis of Electrical Characteristics of Photovoltaic Module under Nonuniform Snow Patterns
(2020-10-29) Khenar, Mohammad; Taheri, Shamsodin; Cretu, Ana-Maria; Hosseini, SeyedKazem; Pouresmaeil, Edris
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
In this article, a novel universal multi-zone approach of photovoltaic (PV) modeling is proposed to determine the electrical characteristics of PV modules covered with nonuniform snow patterns under partial shading conditions. A precise estimation of the penetrating light into the snow layer on the surface of PV modules is obtained through the theory of Giddings and LaChapelle based on the physical and optical properties of the accreted snow. The single-diode-five-parameter equivalent circuit model of the PV unit is considered as the platform for the modeling approach. Original contributions are brought through: (1) the use of a contour-based discretization methodology that can separate any nonlinear PV characteristics to the multiple linear ones; (2) a swarm-based optimization methodology that is adapted to instantaneously update and evaluate the output characteristics of PV modules and (3) a power loss equation to represent the performance of non-uniformly-covered snowy PV panels. The proposed model was successfully tested using three different commercial types of PV technologies commonly used in North America. The accuracy of the proposed modeling approach for power loss determination was validated by processing real data of a 12-MW grid-connected PV farm. Due to the high extent of snow impact on the PV losses, the proposed model of PV modules could be regarded as a basis not only for analyzing PV plant performance, but also for optimizing the power converter design.