A Method for Predicting the Operating State of a Photovoltaic Array
A photovoltaic array and operating state technology, applied in the monitoring of photovoltaic systems, photovoltaic power generation, photovoltaic modules, etc., can solve the problems of increasing the cost of photovoltaic system power generation, and the measurement results are easily affected by the environment, so as to reduce the complexity and cost of power generation, The effect of fast calculation speed and reduced influence degree
Inactive Publication Date: 2019-05-21
XUJI GRP +1
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[0003] The invention provides a method for predicting the operating state of a photovoltaic array, which aims to solve the problem that the existing photovoltaic array state monitoring method needs to install more measuring devices, which increases the power generation cost of the photovoltaic system and the measurement results are easily affected by the environment.
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[0030] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0031] The method for predicting the operating state of a photovoltaic array in this embodiment includes the following steps:
[0032] 1) Divide the photovoltaic array area with 1MWp as the basic unit, and establish the node branch matrix of the 1MWp photovoltaic array;
[0033] 2) The head-end voltage, terminal power and environmental parameters of each 1MWp photovoltaic array electrical network are measured, and the node branch matrix of the 1MWp photovoltaic array is calculated according to the layered forward-backward generation algorithm and the multi-fork traversal search method to calculate each 1MWp photovoltaic array. The head end power and end voltage of the array electrical network;
[0034] 3) According to the terminal current of each 1MWp photovoltaic array electrical network obtained in real-time detection, combined wi...
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The invention relates to a photovoltaic array operation state prediction method. The method comprises the steps of: 1) using 1MWp as a basic unit, carrying out photovoltaic array area division, and establishing node branch matrixes of 1MWp photovoltaic arrays; 2) measuring a head end voltage, tail end power and environment parameters of each 1MWp photovoltaic array, and according to a layered forward-backward sweep algorithm, calculating head end power and a tail end voltage of each 1MWp photovoltaic array; 3) according to tail end currents obtained by detection in real time, calculating power generation efficiency and a power factor of each 1MWp photovoltaic array; and 4) calculating probability densities and a distribution function of the power generation efficiency and power factors of whole photovoltaic arrays; and judging the integral operation state of the photovoltaic arrays. According to the invention, the number of voltage and current measuring devices in a photovoltaic power generation system is reduced, the complexity and the power generation cost of a photovoltaic array monitoring system are lowered, the influences of environment to the monitoring system are reduced, and the accuracy and the reliability of photovoltaic array operation state judgment are improved.
Description
technical field [0001] The invention belongs to the field of photovoltaic power generation, and in particular relates to a method for predicting the operating state of a photovoltaic array. Background technique [0002] With the increasing scale of photovoltaic power generation in the world, the status monitoring, fault diagnosis and location of photovoltaic arrays in solar power plants have become increasingly important. At present, there are two types of fault diagnosis methods for photovoltaic systems: online diagnosis and offline diagnosis. More representative online diagnostic methods include infrared image detection method and multi-sensor method. The infrared image detection method utilizes the characteristic that the photovoltaic module has obvious temperature difference between normal and fault states. The infrared image of the photovoltaic module is captured by an infrared camera and analyzed to determine the fault type and fault location of the photovoltaic modul...
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IPC IPC(8): G06Q50/06H02J3/38H02J7/35H02S50/10
CPCH02J7/35H02S50/00Y02E10/56Y04S10/50
Inventor 焦东东霍富强卞正峰孔波朱云霞谢红伟郑鹏飞
Owner XUJI GRP