Household photovoltaic anomaly identification method based on intelligent electric meter and geographic information grouping

Abstract

The invention discloses a household photovoltaic anomaly identification method based on an intelligent electric meter and geographic information grouping, and relates to the field of photovoltaic anomaly identification. At present, abnormal photovoltaics are identified, the calculated amount is large, and the accuracy is low. The method comprises the following steps: finding out three normal usersclosest to a fault user, solving a photo-generated current value according to a single-diode model formula of a photovoltaic module, calculating a power loss time sequence of the fault user in a single day, fitting power loss by using a least square method, and combining output characteristics of a photovoltaic array, and obtaining a fault diagnosis result according to the fitting result. According to the technical scheme, comprehensive judgment is carried out through two modes, the accuracy is high, and resource losses caused by recognition errors are reduced. Through abnormal user identification, the abnormal diagnosis range and calculation amount can be reduced, the abnormal diagnosis time is shortened, and the method has important significance for subsequent maintenance and overhaul of abnormal users; the income and the equipment utilization rate are improved.

Description

technical field [0001] The invention relates to the field of photovoltaic anomaly identification, in particular to a household photovoltaic anomaly identification method based on smart meters and geographic information grouping. Background technique [0002] With the country's vigorous promotion of renewable clean new energy and the emphasis on natural ecology, photovoltaic power generation has been widely promoted and applied due to its pollution-free and sustainable characteristics. Around 2013, with the increase of policy subsidies for photovoltaic power generation, large-scale photovoltaic power generation was gradually connected to the grid, distributed photovoltaic users increased sharply, and photovoltaic installed capacity has leapt to the first place in the world. After photovoltaics are widely spread across the country and gradually stabilized, due to the particularity of photovoltaic installation locations, how to monitor the operating status of photovoltaics and ...

AI Technical Summary

Problems solved by technology

Faults on the DC side include permanent short-circuit and open-circuit faults such as component delamination, internal air bubbles, unit yellowing, scratches, and hot spots, as well as temporary faults caused by factors such as partial shadow coverage and dust pollution, and also occur when the components are in normal use. Abnormal aging faults occur during the service life, and all of the above faults may lead to a decline in the output power, efficiency and reliability of photovoltaic systems for household use

However, how to identify abnormal photovoltaics requires a large amount of calculation and low accuracy

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