The main applications of photovoltaic optimizers are in scenarios such as residential rooftops,distributed photovoltaics, and BIPV (Building Integrated Photovoltaics).
The product achieves improved power generation efficiency, thereby increasing electricity generation capacity. It also enables remote fault diagnosis, enhances system security, and reduces operational and maintenance costs.
4 Pain Points
There is near-shade blocking during design, the installation orientation, specifications, and inclination angle are limited, and its own components are mismatched during operation.
Photovoltaic high-voltage DC arc is highly dangerous and easy to cause fire problems.
There is a multimodal phenomenon when the single component is shading, which causes the inverter to capture MPPT failure and power loss.
The operation and maintenance cost of photovoltaic system is high, and it is difficult to locate and analyze operation problems.
The only product on the market that adopts neural network algorithm, improving the capturing of the maximum power point by 0.2 seconds compared to similar products, resulting in an average increase in power generation efficiency of 5-30%.
Limited voltage string length, enabling multiple strings in series and expanding the serial range by 30%. No hotspots, making it safer and more durable.
10s fast shutdown, friendly and safe
Industrial-grade Zigbee communication solution, with the industry's highest sampling frequency of 1 minute, assisting in remote fault diagnosis and localization.
The inductor is a flat copper inductor, known for its strong stability.
ST high-end automotive-grade MCU, characterized by powerful computing capabilities and excellent flexibility.
It is compatible with all existing types of inverters on the market, enabling plug-and-play functionality.
Utilizes an industrial-grade Zigbee networking solution with a sampling frequency of 1 minute, offering simple communication, good flexibility, and strong stability.
Combines conventional algorithms with neural network algorithms, achieving a 0.2s improvement in capturing the maximum power point compared to solutions using only conventional algorithms, thus increasing electricity generation.
Batch QR code recognition for network configuration, with the fastest speed reaching ?
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