A fault diagnosis algorithm for low-voltage photovoltaic power generation

Abstract

The invention discloses a fault diagnosis algorithm for low-voltage photovoltaic power generation, a three-phase power flow calculation algorithm based on a sequence component method, and a reasonable photovoltaic access plan to control the photovoltaic access capacity of each distribution line, so as to minimize the reverse transmission of photovoltaics. power, and pay attention to the matching of the photovoltaic capacity of each phase and the load when the photovoltaic single-phase is connected, so as to reduce the three-phase unbalance of the low-voltage distribution line and reduce the line loss. The invention has better power and voltage regulation characteristics, has the ability to absorb and emit active power, can realize peak-shaving and valley-filling and voltage regulation of the net power of the node, help to realize the localized utilization of electric energy, and can also reduce the energy consumption to a certain extent. network loss.

Description

technical field [0001] The present invention relates to a diagnosis algorithm, in particular, to a diagnosis algorithm of a low-voltage photovoltaic power generation fault. Background technique [0002] In the 21st century, conventional energy is very limited, especially in China, China's primary energy reserves are far below the world's average level, only about 10% of the world's total reserves. Moreover, with the advent of energy crises and the intensification of the greenhouse effect, people are more and more aware of the importance of clean energy. Therefore, in China, photovoltaic power generation as a clean and renewable energy has attracted more and more attention. It is estimated that by 2020, my country will The annual output of the photovoltaic industry can reach 270 million square meters. [0003] Compared with traditional energy generation, photovoltaic power generation has more advantages: its cost is lower, it does not need to build large-scale projects, and i...

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Problems solved by technology

However, these methods have disadvantages: the infrared image detection method cannot accurately distinguish the areas where the temperature difference is not obvious, and the cost is high; the multi-sensor detection method requires too many sensors and is difficult to promote; some other methods also have disadvantages. Disadvantages such as unable to monitor in real time, low accuracy, relying on manual experience, etc.

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