This paper presents a comparative study of P&O,fuzzy P&O and BPSO fuzzy P&O control methods by using MATLAB software for optimizing the power output of the solar PV grid array.The voltage,power output and ...This paper presents a comparative study of P&O,fuzzy P&O and BPSO fuzzy P&O control methods by using MATLAB software for optimizing the power output of the solar PV grid array.The voltage,power output and the duty cycle of the solar PV array are well presented and analyzed with an algorithm.The model consists of 66 PV Cells connected parallel and 5 PV cells connected in series to make solar PV array.The BPSO Fuzzy method generates 43.4820 MW output power more than P&O method and 150 KW more than P&O fuzzy method.This also shows that the time response of the photovoltaic system reduces to perturbations and insures the continuity of the operation at the time in response to the continued maximum power point.It also eliminates the fluctuations around MPPT.Simulation results also revealed that BPSO fuzzy P&O controller is more effective as compare with P&O and fuzzy P&O models.展开更多
文摘This paper presents a comparative study of P&O,fuzzy P&O and BPSO fuzzy P&O control methods by using MATLAB software for optimizing the power output of the solar PV grid array.The voltage,power output and the duty cycle of the solar PV array are well presented and analyzed with an algorithm.The model consists of 66 PV Cells connected parallel and 5 PV cells connected in series to make solar PV array.The BPSO Fuzzy method generates 43.4820 MW output power more than P&O method and 150 KW more than P&O fuzzy method.This also shows that the time response of the photovoltaic system reduces to perturbations and insures the continuity of the operation at the time in response to the continued maximum power point.It also eliminates the fluctuations around MPPT.Simulation results also revealed that BPSO fuzzy P&O controller is more effective as compare with P&O and fuzzy P&O models.
