GLOBAL MAXIMUM POWER POINT TRACKING OF THE PV SYSTEM USING GENETIC ALGORITHM

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TRƯƠNG VIỆT ANH

Abstract

When electrical systems with large power and voltage levels are required, a parallel link configuration (PC) cannot often be used alone because the output current is so great which makes it difficult to design converter circuits. Instead, serial (SC) or parallel-serial (SPC) configurations are more applicable because the output current value safer for the control switches. However, these two configurations have the disadvantage of creating multiple extremes under partial shading (PSC), which makes it difficult to accurately determine the global maximum power generation point (GMPPT). Traditional MPPT solutions are only effective in uniform operating environments and less effective under PSC conditions. The content of this article introduces the GMPPT solution of the photovoltaic (PV) battery system using genetic algorithms. Recommended configuration uses 3 simulated series-connected PHM60W36 PV modules under PSIM environment under all operating conditions. The results obtained show that when the radiation is constantly changing, the system always achieves outstanding efficiency and high convergence speed.

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Information Technology, Electricity, Electronic