Optimization based optimal control of solar PV system
04 Feb 2021-
TL;DR: In this paper, a DC-to-DC converter has been used for matching the impedance between PV module or array of modules so as to extract maximum power from PV modules or strings of PV modules.
Abstract: in recent trend, there has been rapidly increase of demand in energy. For conserving energy, innovative solutions are being proposed for reducing it. An eco-friendly system should be created in order to save investment on electricity and then maximize the return cost on investment for investing in solar modules. The photovoltaic industry happens to be more efficient and less expensive systems so that it can be more competitive in nature when it is being compared with other conventional sources. For PV modules, irradiation and panel temperature faces more challenges because these parameters are unstable. Therefore, the electricity generations from PV panel are not stable in nature. So, Maximum Power Point Tracking (MPPT) technique is used for extracting maximum power from PV modules. A DC-to-DC converter has been used for matching the impedance between PV module or array of modules so as to extract maximum power from PV modules or strings of PV modules. In this paper, perturb & observe (P&O), Particle swarm 0ptimization (PSO) and Grey wolf optimization (GWO) methods have been applied. The performance of these algorithms has been verified for MPPT in MATLAB /Simulink environment.
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01 Oct 2017
TL;DR: A novel method to track the MPP is presented, which is based on three-point disturbance observation, and simulation and experimental results validate the performance of the proposed algorithm under continuous and rapidly changing irradiation conditions.
Abstract: In the operation of a photovoltaic system, one of the most important issues is absorbing maximum power from the PV array under continuous and rapid changing irradiance condition. The sampling points obtained at different moments are not on the PV characteristic curve with the same irradiance, so the MPPT strategy may misjudge. In this paper, a novel method to track the MPP is presented, which is based on three-point disturbance observation. The proposed algorithm utilizes three operating points that work in different duty cycle, using two points to restore a virtual operating point which is the same PV characteristic curve as the rest of the point. The proposed algorithm suppress the oscillation and misjudgment problem of traditional P&O method. And simulation and experimental results validate the performance of the proposed algorithm under continuous and rapidly changing irradiation conditions.
2 citations