A complex wind power generation parameter control system based on embedded control combined with Internet of Things

Abstract

The invention discloses a complex wind power generation parameter control system based on embedded type control and combined with internet of things. The system comprises an internet of things networking module, a sensing information collection module, a central processor module and an output control module; the cloud calculation distribution treatment technology is adopted for carrying out large-data processing of the complex wind power generation parameter control system, self-adaptation fusing of the control instruction information is achieved, in combination with a steady state power control and feedback adjusting method, the steady state compensation and self-adaptation power adjusting of the complex wind power generation parameter control system can be carried out, and the networkingand data optimized collection capacity of the complex wind power generation parameter control system can be improved.

Description

technical field [0001] The invention relates to the field of wind power generation control, in particular to a complex wind power generation parameter control system based on embedded control combined with the Internet of Things. Background technique [0002] At present, the design of complex wind power energy-saving control system is based on the collection of wind power motor working condition data and environmental data, using Internet of Things technology for raw data perception and collection, using power sensors and voltage sensors for data analysis, and using electromagnetic coupling The vibration control of the current output is carried out by the controller, combined with the big data information processing system and cloud computing technology, to realize the intelligent design of the complex wind power generation parameter control system. In traditional methods, the intelligent design methods for complex wind power generation parameter control systems mainly inclu...

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Problems solved by technology

Among them, a document [Marimon M C, Tangonan G, Libatique N J, et al. Development and evaluation of wave sensor nodes for ocean wave monitoring [J]. IEEE Systems Journal, 2015, 9 (1): 292-302.] proposes a Based on the active control method of complex wind power generation transmission nodes based on fuzzy PID, the equivalent circuit model of wind turbines is constructed, and the output coupling coefficient, induced power, power loss of power transmission and power gain are used as control constraints to measure wind power stability. Control to improve energy-saving control efficiency, but this method is subject to large coupling interference from the motor, resulting in increased output power loss of the wind power system and poor control stability; literature [JEON WS, HAN J A, DONG G J.A novel MAC scheme formultichannel cognitive radio Ad Hoc networks[J].IEEE Transactions on MobileComputing,2012,11(6):922-934] proposes a programmable logic PLC energy-saving intelligent controller design scheme for wind power motors, using PLC as the main control chip to realize Wind power motor filtering and high-frequency noise suppression improve the energy-saving control effect of wind power motors, but this method has a high load in wind power control, and the stability of control output is not good

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