PROJECT TITLE :

Load Decomposition at Smart Meters Level Using Eigenloads Approach

ABSTRACT:

The deployment of the advanced metering infrastructure (AMI) in distribution systems provides an wonderful chance for load monitoring applications. Load decomposition can be done at the smart meters level, providing a better understanding of the load behavior at near-real-time. During this paper, masses' current and voltage waveforms are processed offline to create a comprehensive library. This library consists of a set of measurements projected onto the eigenloads space. Eigenloads are essentially the eigenvectors describing the load signatures area. A dead ringer for human faces, every load has a distinct signature. Every load measurement is remodeled into a photograph and an economical face recognition algorithm is applied to the set of photos. A list of all the web devices is often stored and can be accessed at any time. The proposed method can be implemented at the sensible meters level. The distributed computation which will be achieved by performing straightforward calculations at every sensible meter, while not the necessity for sending intensive information to a central processor, is helpful. From a system operator perspective, load composition in close to-real-time provides the loads' voltage dependence that are needed, for instance, in volt-VAR optimization (VVO) in distribution systems. Further applications of load composition information are also mentioned.


Did you like this research project?

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


PROJECT TITLE : A Data-Driven Load Fluctuation Model for Multi-Region Power Systems ABSTRACT: For studies such as power system generation control studies and probabilistic load flows, we present in this work a data-driven
PROJECT TITLE : Critical Load Restoration using Distributed Energy Resources for Resilient Power Distribution System ABSTRACT: In the face of extreme weather events, the ageing and obsolete power distribution systems have
PROJECT TITLE : Optimal Operation of Distributed Energy Storage Systems to Improve Distribution Network Load ABSTRACT: This study presents a technique for integrating battery energy storage systems (BESSs) into the utility
PROJECT TITLE :Load Balancing for 5G Ultra-Dense Networks Using Device-to-Device Communications - 2018ABSTRACT:Load balancing is an effective approach to address the spatial-temporal fluctuation downside of mobile information
PROJECT TITLE :Joint User Association and User Scheduling for Load Balancing in Heterogeneous Networks - 2018ABSTRACT:This Project investigates joint user association (UA) and user scheduling (US) for load balancing over the downlink

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

Project Enquiry