Abstract
This paper proposes the design and implementation of inductor-inductor-capacitor (LLC) converters with modules connected in series with the power scan method and communication scan network (CSN) to achieve MPPT and regulate the output voltage for the PV micro-grid system. The Dc/Dc converters includes six isolated LLC modules in series to supply ±380 V output voltage and track the maximum power point of the PV system. The series LLC converters are adopted to achieve high efficiency and high flexibility for the PV micro-grid system. The proposed global maximum power scan technique is implemented to achieve global maximum power tracking by adjusting the switching frequency of the LLC converter. To improve the system flexibility and achieve system redundancy, module failure can be detected in real time with a communication scan network, and then the output voltage of other modules will be changed by adjusting the switching frequency to maintain the same voltage as before the failure. Additionally, the proposed communication scan network includes the RS-485 interface of the MPPT series module and the CAN BUS communication interface with other subsystems’ communication for the PV micro-grid application system. Finally, a 6 kW MPPT prototype with a communication scan network is implemented and the proposed control method is verified for the PV system.
Highlights
Applications with photovoltaic (PV) energy have significantly increased in the last decade, since fossil energy resources have been rapidly depleting, and PV energy is pollution-free, abundant, and broadly available [1]
This paper proposes a cost effective and fast convergence speed using the global maximum power scan (GMPS) technique based on the variable switching frequency and constant output voltage and implemented with a micro-controller
We can see that the zero voltage switching (ZVS) is achieved for the resonant converter
Summary
Applications with photovoltaic (PV) energy have significantly increased in the last decade, since fossil energy resources have been rapidly depleting, and PV energy is pollution-free, abundant, and broadly available [1]. In addition to the common disturbance observation method or incremental conductance method in foreign research, many types of neural network or fuzzy control have been proposed [7], in order to increase the accuracy and stability of the solar panel when it is working at the maximum power point, for the maximum power tracking of solar panel characteristic curve deformation during solar panel shading. A new GMPPT method uses the maximum power point voltage, which is about 0.8 times that of the solar cell, open-circuit voltage model, which is achieved by effective partial scanning of the P-V curve [12] to improve the MPP’s convergence performance. This paper proposes a cost effective and fast convergence speed using the global maximum power scan (GMPS) technique based on the variable switching frequency and constant output voltage and implemented with a micro-controller
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