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Wind power system running state grey prediction system based on chaos phase space reconstruction and method thereof

A phase space reconstruction and wind power system technology, applied in the direction of measuring devices, instruments, etc., can solve the problems of high maintenance cost and low prediction accuracy, and achieve the effect of less load data requirements, high prediction accuracy, and high real-time reliability

Inactive Publication Date: 2016-08-17
STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD HARBIN POWER SUPPLY CO +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems of low prediction accuracy and high maintenance cost of traditional methods, the present invention proposes a gray prediction system and method for wind power system operation status based on chaotic phase space reconstruction

Method used

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  • Wind power system running state grey prediction system based on chaos phase space reconstruction and method thereof
  • Wind power system running state grey prediction system based on chaos phase space reconstruction and method thereof
  • Wind power system running state grey prediction system based on chaos phase space reconstruction and method thereof

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specific Embodiment approach 1

[0027] Embodiment 1: The gray prediction system of wind power system operating state based on chaotic phase space reconstruction includes the following steps:

[0028] The gray prediction system of wind power system operating state based on chaotic phase space reconstruction includes wind power generation unit 1, measuring instrument 2 and host computer 3;

[0029] The measuring instrument 2 is composed of a signal acquisition and conditioning circuit 4, an A / D conversion circuit 5, a single-chip microcomputer 6, a timing circuit 7, a data storage circuit 8 and a USB interface circuit 9;

[0030] The wind power generating set 1 is connected to the measuring instrument 2, and the measuring instrument 2 is connected to the upper computer 3 in two phases; wherein the signal input end of the signal acquisition and conditioning circuit 4 is connected to the output end of the wind power generating set 1, and the signal acquisition and conditioning circuit 4 The signal output end of ...

specific Embodiment approach 2

[0037] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that the host computer 3 is used to collect the temperature of the driving side bearing of the wind turbine gearbox, the maximum temperature of the generator winding, and the average temperature of the rotor to the measuring instrument (2). The speed and generator active power signals are calculated and the prediction results are obtained.

specific Embodiment approach 3

[0038] Embodiment 3: This embodiment differs from Embodiment 1 or Embodiment 2 in that: the single-chip microcomputer 6 adopts AT89S52.

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Abstract

A wind power system running state grey prediction system based on chaos phase space reconstruction and a method thereof are disclosed. The invention relates to the wind power system running state grey prediction system and the method. By using a traditional method, prediction precision is low and overhauling cost is high. In the invention, the above problems are solved. The wind power system running state grey prediction system based on the chaos phase space reconstruction comprises a wind power generating set (1), a measuring instrument (2) and an upper computer (3). The measuring instrument (2) is formed by a signal acquisition and conditioning circuit (4), an A / D conversion circuit (5), a single chip microcomputer (6), a timing circuit (7), a data storage circuit (8) and a USB interface circuit (9). The method comprises the following steps of 1, carrying out phase space reconstruction; 2, using a small data quantity method to calculate a maximum Lyapunov index; and 3, using a GM(1, n) model to carry out grey prediction on a wind power generator set running state. The system and the method are applied to the wind power system running state prediction field.

Description

technical field [0001] The invention relates to a gray prediction system and method for the operating state of a wind power system. Background technique [0002] At present, most of the research is focused on the monitoring of the operating status of the important components of the wind turbine. The wind turbine is composed of many subsystems such as pneumatic, mechanical, motor, and electronic control. The overall operating status and health; or to conduct research and analysis on a specific fault of the wind turbine. In fact, the wind turbine is a complex system. The randomness and uncontrollability of the wind conditions make the operating status of the wind turbine switch frequently. At the same time, the operating environment of the unit is harsh, which makes the unit failure form complicated, and chain failures occur from time to time. Wind farms are often located in remote areas or on the sea, and the units are scattered and located high in the air, which brings grea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02
CPCG01D21/02
Inventor 宣科张忠宜王宇王立靖赵鹏王赫鸣王磊
Owner STATE GRID HEILONGJIANG ELECTRIC POWER CO LTD HARBIN POWER SUPPLY CO
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