کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
299999 512465 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A maximum power point tracking control strategy with variable weather parameters for photovoltaic systems with DC bus
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
A maximum power point tracking control strategy with variable weather parameters for photovoltaic systems with DC bus
چکیده انگلیسی


• An MPPT control strategy with variable weather parameters is proposed.
• Constraint conditions of capturing the MPP of PV systems with DC bus are found out.
• A new buck/boost DC/DC converter is proposed.
• This circuit can keep advantages of three converters and overcome shortcomings.

In photovoltaic (PV) system, the most commonly used DC/DC converter is the basic buck or boost circuit to implement the maximum point power tracking (MPPT) due to their simple structure and low cost while there are some MPPT constraint conditions. By contrast, the conventional buck/boost DC/DC converter without MPPT constraint condition is seldom used because of its high cost or poor performance. To keep the advantages of these three DC/DC converters while overcoming their shortcomings, in this paper, the constraint conditions of capturing the maximum power point (MPP) of PV systems with direct-current (DC) bus are found out. Then, on the basis of this work, a MPPT control strategy with variable weather parameters is proposed. In this strategy, a new buck/boost DC/DC converter is proposed, which not only avoids the MPPT constraint conditions of basic buck or boost DC/DC converter but also overcomes the shortcomings of conventional buck/boost DC/DC converter. Finally, lots of simulated experiments verify the accuracy of MPPT constraint conditions, test the feasibility and availability of proposed MPPT control strategy, analyze the MPPT performance of proposed PV system and compare the output transient-state performance with conventional perturb and observe (P&O) method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 74, February 2015, Pages 478–488
نویسندگان
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