PROJECT TITLE :

Analysis and Damping of Mechanical Resonance of Wind Power Generators Contributing to Frequency Regulation - 2017

ABSTRACT:

Wind power generators will become increasingly useful in trendy Power Systems; thus, they must be in a position to support the system frequency in a way similar to that of conventional generators. Droop and virtual inertia are the most reported ways within the literature. However, their impact on the generator and system frequency stability, when the double-mass mechanical dynamics of a wind power generator are thought of, has not been addressed thoroughly. In this paper, little-signal modeling, analysis, and eigenvalues studies are used to indicate that incorporating a wind power generator in the frequency regulation can expose its shaft to forces stimulating its natural resonance frequency dynamics and result in instability. This paper shows that the mechanical resonance of frequency-regulating wind generators should be studied and enhanced not individually however as a half of the whole Power System stability analyses. To overcome the soundness problem caused by implementing frequency regulation in wind generators, this paper investigates completely different alternatives to stabilize the generator dynamics and, at the same time, minimize undesirable interference in the conventional wind power generator controllers. Time-domain simulation results validate the analytical results and discussions.


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