My Account | Careers | Downloads | Blog

PROJECT TITLE :

Fast Unscented Transformation-Based Transient Stability Margin Estimation Incorporating Uncertainty of Wind Generation

ABSTRACT:

Intermittent generation from wind farms results in fluctuating Power System operating conditions pushing the steadiness margin to its limits. The ancient means of determining the worst case generation dispatch for a system with several semi-scheduled wind generators yields a conservative answer. This paper proposes a quick estimation of the transient stability margin (TSM) incorporating the uncertainty of wind generation. First, the Kalman filter (KF) is employed to produce linear estimation of system angle and then unscented transformation (UT) is used to estimate the distribution of the TSM. The proposed method is compared with the ancient Monte Carlo (MC) methodology and also the effectiveness of the proposed approach is verified using Single Machine Infinite Bus (SMIB) and IEEE fourteen generator Australian dynamic system. This methodology will aid grid operators to perform quick on-line calculations to estimate TSM distribution of an influence system with high levels of intermittent wind generation.


Did you like this research project?

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

PROJECT TITLE : Fast Globally Optimal Transmit Antenna Selection and Resource Allocation Scheme in mmWave D2D Networks ABSTRACT: The process of transmit antenna selection, abbreviated as TAS at base stations, has been the subject
PROJECT TITLE : Fast Multi-Criteria Service Selection for Multi-User Composite Applications ABSTRACT: Paradigms such as Software as a Service (SaaS) and Service-Based Systems (SBSs), which are becoming more prevalent as cloud
PROJECT TITLE : Traffic Prediction and Fast Uplink for Hidden Markov IoT Models ABSTRACT: In this work, we present a novel framework for the traffic prediction and fast uplink (FU) capabilities of Internet of Things (IoT) networks
PROJECT TITLE : A Multi-criteria Approach for Fast and Robust Representative Selection from Manifolds ABSTRACT: The problem of representative selection can be summed up as the challenge of selecting a small number of informative
PROJECT TITLE : Deadline-Aware Fast One-to-Many Bulk Transfers over Inter-Datacenter Networks ABSTRACT: An ever-increasing number of cloud services are being run on a global scale. In order to increase both the quality and

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

Project Enquiry