Robust signal selection for damping of inter-area oscillations


This study reports an approach of selecting effective feedback signal to damp out electromechanical oscillations in the Power System under unpredictable supply and demand situation. The idea of minimum variance of the modal residue has been utilised to select a signal which is very effective over a large number of operating conditions. A minimal variation of residue results in minimal deviation in damping performance from the desired level. The effectiveness of the method is demonstrated in a 16-machine, 68-bus NETS-NYPS test system and 46-machine, 190-bus practical Mexican interconnected system models.

Did you like this research project?

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

PROJECT TITLE : Accurate and Robust Video Saliency Detection via Self-Paced Diffusion ABSTRACT: In order to estimate video saliency in the short term, traditional video saliency detection algorithms usually follow the common
PROJECT TITLE : Robust Lane Detection from Continuous Driving ScenesUsing Deep Neural Networks ABSTRACT: For autonomous vehicles and sophisticated driver assistance systems, lane recognition in driving scenes is a critical element.
PROJECT TITLE : Robust Unsupervised Multi-view Feature Learning with Dynamic Graph ABSTRACT: By modeling the affinity associations with a graph to lower the dimension, graph-based multi-view feature learning algorithms learn a
PROJECT TITLE : A Spatially Constrained Probabilistic Model for Robust Image Segmentation ABSTRACT: In probabilistic model based segmentation, the hidden Markov random field (HMRF) is used to describe the class label distribution
PROJECT TITLE : An Adaptive and Robust Edge Detection Method Based on Edge Proportion Statistics ABSTRACT: One of the most important preprocessing steps for high-level tasks in the field of image analysis and computer vision is

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

Project Enquiry