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Multi-dimensional full-state data modeling method of probability fusion type photovoltaic power station

A photovoltaic power station and data modeling technology, applied in photovoltaic power generation, electrical components, circuit devices, etc., can solve problems such as not meeting the requirements of power station operation and maintenance monitoring, and not applicable to the analysis of monitoring data

Active Publication Date: 2020-10-20
HEFEI UNIV OF TECH +1
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This modeling method is often used to analyze the interaction between the power station and the power grid, including the research on the influence of the power station on the stability of the power grid and the research on the influence of changes in power grid characteristics on the state of the power station. However, since the internal links of the power station are hidden in the model, this The similar modeling method and the obtained model do not meet the requirements of power plant operation and maintenance monitoring, nor are they suitable for the analysis of monitoring data

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  • Multi-dimensional full-state data modeling method of probability fusion type photovoltaic power station
  • Multi-dimensional full-state data modeling method of probability fusion type photovoltaic power station
  • Multi-dimensional full-state data modeling method of probability fusion type photovoltaic power station

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Embodiment Construction

[0068]In this embodiment, a multi-dimensional full-state data modeling method of a probabilistic fusion photovoltaic power station includes the following steps:

[0069] Step 1. Assume that a monitored photovoltaic power station contains H=2 inverters with a rated capacity of 15kW, and each inverter is connected to a photovoltaic array containing J=3 photovoltaic strings. The rated power of the string is 6kW, and the schematic diagram of the connection structure of the power station is as follows: figure 1 . The collected data that can be obtained by all sensors in the photovoltaic power station include: irradiance s, ambient temperature t, voltage U of the jth string of photovoltaic strings in the photovoltaic array connected to the hth inverter hj and PV string current I hj , A, B, C phase current I of the h-th inverter hA , I hB , I hC and output active power P h , where h=1,2; j=1,2,3, A, B, C phase voltage U on the common connection point PCC A ,U B ,U C , AB, BC...

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Abstract

The invention discloses a multi-dimensional full-state data modeling method of a probability fusion type photovoltaic power station. Multi-source, heterogeneous, large-amount and dynamic data are obtained by sampling of voltage, current, temperature and irradiance sensors in a photovoltaic power station; data correlation grouping and joint calculation of current data and historical data in the group are carried out; the characteristic quantity of each group of equipment states in the power station is obtained; a result is calculated according to the characteristic quantity; data fusion is performed on a heterogeneous data source by using probability distribution of each state of equipment, so that a photovoltaic power station data model with high data utilization rate and low data complexity is established, fusion analysis of sampling data under a complex sensor network is realized, and the purposes of reducing system data burden and improving performance of a photovoltaic power station operation and maintenance monitoring system are achieved.

Description

technical field [0001] The invention relates to a photovoltaic power station data modeling technology, belonging to the technical field of photovoltaic power station operation and maintenance monitoring. Background technique [0002] Photovoltaic power generation, as one of the important means of solar energy utilization, has achieved rapid development in recent years. As the data basis for real-time monitoring and operation and maintenance of power stations, the photovoltaic power station data model is of great significance to ensure the efficiency and reliability of the power station monitoring system and the stable operation of the power generation system. . [0003] In engineering practice, real-time monitoring of photovoltaic power plants always relies on various sensor networks. Various sensors deployed in photovoltaic power plants collect and send data, and data terminals process and analyze data according to data models after receiving data. However, photovoltaic pow...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCH02J3/381H02J2203/20H02J2300/22Y02E10/56
Inventor 汪海宁陈昱明张长志李浩然张健苏建徽
Owner HEFEI UNIV OF TECH
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