研究目的
To maximize the power production of PV systems by dynamically adjusting the duty cycle and switching frequency of the power converter PWM control signal, ensuring operation at the global maximum power point (MPP) under partial shading conditions without requiring prior knowledge of PV module or power converter characteristics.
研究成果
The proposed control method significantly increases the power production of PV systems by simultaneously maximizing the output power of the PV array and the efficiency of the power converter, even under partial shading conditions. The experimental results demonstrate an 8.93% to 10.72% increase in power production compared to conventional global MPPT techniques that do not optimize the power converter's switching frequency.
研究不足
The method requires additional sensors to measure the DC/DC converter output voltage and current, increasing the system's complexity and cost. The periodic re-execution of the PSO algorithm, although minimizing energy loss during the search process, may still result in some power loss due to operation away from the global maximum power point during the search.
1：Experimental Design and Method Selection:
The study employs a Particle Swarm Optimization (PSO) algorithm to dynamically adjust the duty cycle and switching frequency of a Boost-type DC/DC converter for maximizing both the PV array output power and the power converter efficiency.
2：Sample Selection and Data Sources:
The experimental setup includes a PV array with two monocrystalline silicon PV modules connected in parallel, operating under real outdoor conditions with partial shading emulated by different tilt angles.
3：List of Experimental Equipment and Materials:
The setup comprises a Boost-type DC/DC converter with specific components (inductor, output capacitor, diode, power MOSFET), a 12 V battery bank, and an Atmel ATMEGA328P-PU microcontroller for control.
4：Experimental Procedures and Operational Workflow:
The PSO algorithm is executed with a population of particles representing combinations of duty cycle and switching frequency values, iteratively adjusting these parameters to maximize the DC/DC converter output power.
5：Data Analysis Methods:
The output power of the DC/DC converter is calculated from measured output voltage and current, with the algorithm's performance evaluated based on the increase in power production compared to conventional MPPT techniques.
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