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Demonstration-based photovoltaic power station testing diagnosis and forecasting database establishment method

A technology for photovoltaic power plants and test data, applied in electrical digital data processing, data processing applications, special data processing applications, etc., can solve the problems of limited test accuracy, inability to guarantee data accuracy, and single function, and achieve the goal of reducing development costs. Effect

Active Publication Date: 2011-07-20
STATE GRID ELECTRIC POWER RES INST
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AI Technical Summary

Problems solved by technology

This patent invented a photovoltaic grid-connected inverter with photovoltaic array IV test function. The main test method is: at the input port of the photovoltaic array and the filter capacitor C 1 The current sensor CT used to measure the input current of the photovoltaic array is set between 1 , set up for measuring the filter capacitor C 1 DC bus voltage sensor VT for terminal voltage 1 , set the DC circuit breaker K at the output port of the photovoltaic array 1 , the total output current of the photovoltaic array passes through the DC circuit breaker K 1 Input photovoltaic grid-connected inverter, DC bus voltage sensor VT 1 and current sensor CT 1 , to collect VT 1 and C 1 data, it is possible to figure 2 The test of the IV characteristics of the photovoltaic array of the system shown, but the invention patent has a single function, the test accuracy is limited, and the accuracy of the data cannot be guaranteed. It is necessary to conduct research on outdoor empirical technologies, and to make statistics on the data collected through long-term empirical demonstrations. Analysis, establishment of corresponding database, data processing, evaluation and analysis for the database

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Embodiment Construction

[0021] The flow chart of the technical solution of the present invention is as follows image 3 shown. The specific embodiment of the patent of the invention is as follows: Figure 4 As shown, the specific steps of the method are described below in conjunction with an implementation case.

[0022] First, build an empirical platform for different types of photovoltaic modules, types of grid-connected inverters, and system operation methods. Among them, the types of photovoltaic modules can be divided into crystalline silicon battery modules, heterojunction silicon-based batteries, thin film battery modules, concentrator battery modules, and BIPV battery modules; grid-connected inverters are classified into two types, one is classified according to the type of transformer: There are transformer-isolated type and non-transformer-isolated type, and one is classified according to topology: micro-inverter, string type, and centralized type; and the system operation mode is configu...

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Abstract

The invention discloses a demonstration-based photovoltaic power station testing diagnosis and forecasting database establishment method. In the method, deep mining and probability reliability assessment are performed on the statistical data of different components and balancing parts in a demonstration system based on long-term running performance testing data by using a reliability analysis principle to form reliability and economy-coordinated comprehensive evaluation mechanism and establish a photovoltaic power station field fault diagnosis and maintenance forecasting database. The method has the advantage of comprehensively evaluating the reliability, running performance and cost of photovoltaic components, the parts and the system.

Description

technical field [0001] The patent of the present invention relates to a method for establishing a field test, diagnosis and prediction database for photovoltaic power plants through empirical demonstration in the field of advanced energy technology. Background technique [0002] Facing the explosive growth of my country's photovoltaic industry, it is necessary to establish a complete photovoltaic system testing system to adapt to it, but domestic empirical testing technology is still blank. Due to the laboratory standard test environment (STC, that is, the solar irradiance is 1000W / m 2 , the battery temperature is 25°C, and the air quality is 1.5), the data cannot faithfully reflect the performance indicators in the actual environment. According to the data obtained from laboratory tests, it cannot meet the real needs of users for system reliability and operating costs. Little experience in photovoltaic power generation construction and power station design, reliable measur...

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Application Information

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IPC IPC(8): G06F17/30G06Q90/00
Inventor 张军军黄晶生居蓉蓉刘美茵牛晨晖
Owner STATE GRID ELECTRIC POWER RES INST
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