Remote intelligent diagnosis method of photovoltaic module dust deposition degree

Abstract

The present invention discloses a remote intelligent diagnosis method of a photovoltaic module dust deposition degree, belonging to the field of photovoltaic optimization operation technology. The method comprises the steps of: respectively establishing photovoltaic output prediction models based on a fuzzy neural network in a cleaning state for different weather type history samples, and calculating a theoretical output value in the photovoltaic cleaning state according to the models; comparing a cleaning state prediction value Pst with a real-time collected photovoltaic actual output value Pout; determining whether a dust deposition loss electric quantity reaches a cleaning cost E or not, if the dust deposition loss electric quantity reaches the cleaning cost E, defining time from the last cleaning to a current moment is T1, and fitting a daily generating capacity decay function F(x); calculating cost of reaching n-times dust deposition starting from the T1 moment according to the daily generating capacity decay function F(x), wherein this period of time is marked as T2; and determining whether a rainfall capacity in the T2 moment satisfies a dust deposition washing threshold ornot, if the rainfall capacity in the T2 moment satisfies the dust deposition washing threshold, giving up this cleaning and waiting for rainfall to remove dust, or else, immediately organizing cleaning work. The remote intelligent diagnosis method of a photovoltaic module dust deposition degree saves the cleaning cost at the greatest extent.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic optimization operation, and relates to a remote intelligent diagnosis method for the dust accumulation degree of photovoltaic modules. Background technique [0002] The cost of photovoltaic operation and maintenance accounts for about 1% of the cost of the power station. If the cost of a photovoltaic power station is 7 yuan / W, the cost of operation and maintenance is about 0.07 yuan / W. At the end of 2016, the total installed photovoltaic capacity in the country was 77.42GW, and the photovoltaic operation and maintenance market exceeded 5 billion yuan. According to the "Thirteenth Five-Year Plan", the target of photovoltaic installed capacity in China in 2020 will be more than 105GW, and according to the recent installation plans proposed by local governments in China, the total installed photovoltaic capacity in 2020 is expected to exceed 147GW. The scale will reach 7 billion to 10 billion y...

AI Technical Summary

Problems solved by technology

Most of these documents involve the design of high-efficiency dust removal devices and the selection methods of various cleaning methods, without considering the cost of cleaning, loss of power generation and other indicators

There is no online diagnosis method for the degree of dust accumulation of photovoltaic modules, and it is impossible for operators of photovoltaic power plants to understand the dust accumulation of photovoltaic modules in a timely manner, and there is a lack of clear and effective cleaning strategies

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