My Account | Careers | Downloads | Blog

PROJECT TITLE :

Robust Restoration Decision-Making Model for Distribution Networks Based on Information Gap Decision Theory

ABSTRACT:

Service restoration is important in distribution networks following an outage. During the restoration process, the system operating conditions will fluctuate, together with variation of the load demand and also the output from distributed generators (DGs). These variations are laborious to be predicted and therefore the load demands are roughly estimated because of absence of real-time measurements, which can significantly affect the restoration strategy. In this paper, we tend to report a sturdy restoration call-making model based mostly on info gap decision theory, that takes into consideration the uncertainty within the load and output of the DGs. For a given bounded uncertain set of parameters, the solutions will guarantee feasibility which an objective will not fall below a given threshold. We describe the implementation of a strong optimization algorithm primarily based on a mixed integer quadratic constraint programming restoration model, the target of which is to revive maximal outage hundreds. Numerical tests on a changed Pacific Gas and Electric Company (PG&E) 69-node distribution network are mentioned to demonstrate the performance of the model.


Did you like this research project?

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

PROJECT TITLE : Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks ABSTRACT: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm poses significant challenges
PROJECT TITLE : Server-Aided Fine-Grained Access Control Mechanism with Robust Revocation in Cloud Computing ABSTRACT: In a wide variety of cloud computing applications, attribute based encryption, also known as ABE, makes it
PROJECT TITLE : Robust H∞ Network Observer-Based Attack-Tolerant Path Tracking Control of Autonomous Ground Vehicle ABSTRACT: Under the influence of external disturbance, measurement noise, and actuator/sensor attack signals,
PROJECT TITLE : Robust Localization System using Vector Combination in Wireless Sensor Networks ABSTRACT: In this paper, we propose a localization system that is based on vectors and that takes into account both distance and
PROJECT TITLE : Robust Variational Learning for Multiclass Kernel Models With Stein Refinement ABSTRACT: The ability of kernel-based models to generalize well is impressive, but the vast majority of them, including the SVM, are

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

Project Enquiry