Low-voltage photovoltaic power generation fault diagnosis algorithm

Abstract

The invention discloses a low-voltage photovoltaic power generation fault diagnosis algorithm. The diagnosis algorithm is based on a three-phase load flow calculation algorithm of a sequence component method, controls the photovoltaic access capacity of each distribution line through reasonable photovoltaic access planning, reduces the photovoltaic reverse transmission power as much as possible, and pays attention to the matching between the photovoltaic capacity of each phase and the load size during photovoltaic single-phase access, the three-phase unbalance degree of the low-voltage distribution line is reduced, and the line loss is reduced. The diagnosis algorithm has better power and voltage regulation characteristics, has the capability of absorbing and emitting active power, can realize peak clipping and valley filling of node net power and voltage regulation, is favorable for realizing localized utilization of electric energy, and also can reduce network loss to a certain extent.

Description

technical field [0001] The invention relates to a diagnostic algorithm, in particular to a diagnostic algorithm for low-voltage photovoltaic power generation faults. Background technique [0002] In the 21st century, conventional energy is very limited, especially in China, where 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 increasingly 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's The annual output of photovoltaic industry can reach 270 million square meters. [0003] Compared with traditional energy power generation, photovoltaic power generation has more advantages: its cost is low, it does not need to build large-scale projects, and it doe...

AI Technical Summary

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.

Images