Analytical Modeling of Partially Shaded Photovoltaic Systems (original) (raw)
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—In photovoltaic (PV) power generation, partial shading is an unavoidable complication that significantly reduces the efficiency of the overall system. Under this condition, the PV system produces a multiple-peak function in its output power characteristic. Thus, a reliable technique is required to track the global maximum power point (GMPP) within an appropriate time. This study aims to employ a hybrid evolutionary algorithm called the DEPSO technique, a combination of the differential evolutionary (DE) algorithm and particle swarm optimization (PSO), to detect the maximum power point under partial shading conditions. The paper starts with a brief description about the behavior of PV systems under partial shading conditions. Then, the DEPSO technique along with its implementation in maximum power point tracking (MPPT) is explained in detail. Finally, Simulation and experimental results are presented to verify the performance of the proposed technique under different partial shading conditions. Results prove the advantages of the proposed method, such as its reliability, system-independence, and accuracy in tracking the GMPP under partial shading conditions. Index Terms—Differential evolution (DE) algorithm, maximum power point tracking (MPPT), partial shading, particle swarm optimization (PSO), photovoltaic (PV) system.
IRJET-Modeling of Solar PV system under Partial Shading using Particle Swarm Optimization based MPPT
This work presents the effects of changing environmental conditions on the solar photovoltaic energy conversion system. Partial shading causes oscillations in output characteristics of the PV (photovoltaic) array and distracts the system to track MPP (maximum power point). In this paper, generalized approximate model of the solar cell is implemented using MATLAB/Simulink software package. In order to track maximum power efficiently from the PV array, evolutionary search technique PSO (particle swarm optimization) algorithm is used. Finally the developed model for PV array is interfaced with DC/DC boost converter using SimPowerSystems tool box to extract stepped up voltage from solar array. The duty cycle of the converter is controlled by the MPPT algorithm and PI (Proportional integral) controller. The PV array model is developed and simulated to produce higher output voltage under partial shading conditions.
Solar energy is an important source of renewable energy due to the easy access to the source. One drawback in this system is achieving the maximum efficiency of the system. The photovoltaic (PV) cell is the fundamental unit in the power conversion of the solar system. The extracted maximum output power of PV cell reduces when it exposes to partial shading causing remarkable reduction in the efficiency of the system. In this work, PV modules under various shading condition is simulated using Matlab/Simulink. Results show that the power-voltage (P-V) characteristic of PV modules exhibit several local maximum power points (MPP) in comparison with unique MPP in case of full insolation causing more complication to the system and a noticeable reduction in the efficiency of the system.
Solar energy is an important source of renewable energy due to the easy access to the source. One drawback in this system is achieving the maximum efficiency of the system. The photovoltaic (PV) cell is the fundamental unit in the power conversion of the solar system. The extracted maximum output power of PV cell reduces when it exposes to partial shading causing remarkable reduction in the efficiency of the system. In this work, PV modules under various shading condition is simulated using Matlab/Simulink. Results show that the power-voltage (P-V) characteristic of PV modules exhibit several local maximum power points (MPP) in comparison with unique MPP in case of full insolation causing more complication to the system and a noticeable reduction in the efficiency of the system.