Intelligent control system and method for wind generating set

Abstract

The invention discloses an intelligent control system and method for a wind generating set, and belongs to the technical field of wind power generation. The system comprises a plurality of edge computing subsystems and at least one wind field level computing subsystem which are in communication connection with each other, and each edge computing subsystem is in communication connection with at least one main control device; and the main control devices communicate with the corresponding edge computing subsystems and the corresponding wind field level computing subsystems to exchange data, and feed back algorithm model operation results of the corresponding edge computing subsystems and the corresponding wind field level computing subsystems to the main control devices so as to achieve intelligent control and operation state adjustment on fans corresponding to the main control devices. Therefore, the purposes that effective landing of wind power intelligent control is achieved, intelligent control and state adjustment of the fans are achieved on the basis of the fans and algorithm models deployed in a wind field by collecting and processing multi-dimensional data of the fans, real landing of an intelligent algorithm is completed, and the generating capacity of the fans is effectively increased are achieved.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, and in particular relates to an intelligent control system and method for a wind power generating set. Background technique [0002] Wind energy is available energy provided by nature to human beings. It is a conversion form of solar energy and belongs to renewable energy. Wind energy is converted into electrical energy through wind power generators (hereinafter referred to as fans), and the converted electrical energy is transmitted to equipment that needs electricity in various places through the grid. [0003] With the continuous development and innovative application of industrial big data, edge computing, cloud computing and artificial intelligence technology, as well as the maturity of wind turbine control technology, the research direction of wind turbines has been developing towards intelligent development such as self-adaptation, self-adjustment and self-decision. The inte...

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Problems solved by technology

[0005] In actual application, there are mainly the following problems: 1. The data collected by the main control system of the wind turbine contains a large amount of invalid and dirty data, which cannot be directly used for data mining or input into the algorithm model; 2. Most of the main control system of the wind turbine is PLC. The computing power is not enough to complete the preprocessing of data and the operation of the algorithm model; 3. The bandwidth limitation of the internal communication network of the wind farm and the outgoing network of the wind farm makes the accuracy of the data transmitted to the cloud insufficient (mostly 1S or several S). Good support for algorithm model calculation; 4. Limited by the communication network, it is impossible to guarantee the real-time feedback of cloud algorithm model calculation results to wind farms or wind turbines

In the end, the operation results of the intelligent algorithm model are inaccurate and the real-time performance is low, and it cannot effectively participate in or refer to the wind turbine control, and cannot close-loop wind turbine control, which greatly reduces the intelligence of the wind turbine.

At the same time, there is a leaked security loophole in the data sent out by the wind farm, which is not conducive to the safe operation of the wind farm

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