PROJECT TITLE :

Analysis and active damping of multiple high frequency resonances in DFIG systems - 2017

ABSTRACT:

As the wind power generation develops, the doubly fed induction generator (DFIG) based mostly wind Power System is more and more seemingly to control in the rising weak network instead of in the standard stiff network. Thanks to the comparatively giant impedance of the weak network than the stiff grid, the DFIG system may be subject to the resonances thanks to the impedance interaction between the DFIG system and the weak network. Especially, when connected to a series p sections weak network, the multiple high-frequency resonances (MHFR) could occur and need careful studies. The impedance modeling of the DFIG system and also the series p sections weak network is first demonstrated in this paper. Then, thanks to the multiple magnitude peaks of the series p sections of the weak network, the MHFR can be created and will be theoretically explained primarily based on the impedance modeling results. For the purpose of mitigating the MHFR, a vigorous damping strategy that introduces a virtual impedance, including a part leading compensation unit and a virtual positive resistance, is proposed and demonstrated. Simulations are conducted to validate the DFIG system MHFR furthermore because the proposed active damping strategy.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry