PHOTOVOLATIC power generation has become one of the key technologies promoting the low-carbon transformation of energy due to its advantages such as no pollution, no noise, and flexible distributed deployment [1], [2]. The centralized architecture of PV power station adopts a modular series-parallel approach to form a PV array, and realizes DC-AC power conversion and grid connection through grid-connected inverters. The structure is simple and the inverter efficiency is relatively high, but the system expansion and redundancy capabilities are poor [3]. The multi-branch architecture is equipped with independent DC-DC converter in each branch of the PV array. This flexibility of the PV grid-connected system. Even when a single DC/DC converter fails, the system can still operate stably. However, it has problems such as rising hardware costs and the persistence of series faults of PV modules [4]. With the rapid development of PV power generation systems towards large capacity and high voltage, the problem of fault protection on the DC side has become increasingly prominent. Especially DC arc faults, due to their strong concealment, high the primary hidden danger threatening the safe operation of PV systems [5], [6]. According to the analysis of fault mechanisms, DC arc faults are mainly divided into series arc faults and parallel arc faults. Parallel arcs are usually caused by insulation breakdown due to aging of wires or equipment [7], [8]. Series faults are induced by poor contact, aging of lines, or environmental factors, and their fault characteristics are more complex and occur more frequently [9], [10]. Scholars mechanism, fault detection and fault protection. The occurrence mechanism of arc is the basis for further theoretical analysis [11], [12] and simulation tests [13], [14]. Regarding the mechanism research of DC arc, literature [11] established an arc fault model for PV systems, systematically analyzed the fault generation mechanism, and analyzed the DC characteristics based on the voltage and current waveform features. [12] discussed the use of actual data recorded in the PV system to drive an effective DC series arc model from the original Nottingham arc model. This model has three parameters, including a current index constant, model order, and two time series coefficients. [13] proposed a heuristic average model based on the principle of arc power balance and provided a current-controlled arc noise simulation method based on the correlation mechanism between arc noise and arc current. By superimposing arc noise on the proposed average model, the dynamic characteristics of DC series arc can be accurately described. [14] modeled the physical characteristics of arcs in photovoltaic (PV) systems. The simulations were carried out with ANSYS Fluent and ANSYS Maxwell in the ANSYS software. The results contributed to the standardization