Modelling and control of single VSI leading experimental hybrid power system integrating a wind turbine simulator
This paper discusses a hybrid wind diesel system aims to validate wind powered section of the experimental system. The experimental system proposed consists of a wind turbine simulator, a permanent magnets generator, a diode bridge rectifier, a step down converter, a bank of battery, a load and a control unit. An other operation of three-phase, four-wire voltage source inverter (VSI) under unbalanced voltage conditions is also investigated.
Hybrid automation modeling and global control of wind turbine generator
Wind turbine generator system (WTG) is a complex nonlinear system involving some uncertain disturbances, and its working states change multifarious. A fact was discovered that it showed the typical feature of hybrid system by analyzing its characteristics. Therefore, the hybrid dynamic model of WTG was built based on theory of hybrid automata, at same time hybrid control system was designed for solving the problem of the global automation according to the WTG control strategy. Emulation results present the hybrid automata model can accomplish global simulation of WTG, and the designed hybrid control system fulfills the demand of WTG global control. Moreover, the validity and practicability of applying hybrid system theory in the field of wind power are demonstrated.
ANALYSIS OF BOLT′S ANCHORING QUALITY BASED ON WAVELET NEURAL NETWORK
The dynamic response of bolt achieved by impact-echo method can be effected easily by some factors.It′s difficult to classify bolt′s anchoring quality according to the dynamic response of bolt.In this paper,a new analytical method of bolt′s dynamic response is put forward.The new analytical method combing with advantages of wavelet analysis and artificial neural network is presented.Firstly,the dynamic response of bolt by numerical simulation software FLAC3D is obtained.Secondlyt,he features are extracted from the dynamic response of bolt by wavelet analysis.Thirdlyt,hese features are fed into the artificial neural network for training.Finallyt,his artificial neural network to classify the bolt′s anchoring quality intelligent according to the dynamic response of bolt is employed.In order to validate this new analytical method,some practical signals of bolt′s dynamic response are used for the test.The results indicate that the new analytical method is practicable.