My Account | Careers | Downloads | Blog

PROJECT TITLE :

Robust Multi-Stage Substation Expansion Planning Considering Stochastic Demand

ABSTRACT:

This paper presents a completely unique mixed-integer second-order cone programming model for the strong multi-stage substation enlargement planning downside considering stochastic demand. The stochastic nature of the stress is taken into account through a robust model that uses likelihood constraints to ensure that the substation capability limits are happy inside a given robustness likelihood. Furthermore, a multi-objective formulation that takes under consideration the total expected expansion planning value and also the robustness probability connected to the violation of the substation capacity limits is proposed. The optimal resolution of the proposed model is guaranteed by the convexity of the formulation, when classical optimization techniques are used in its answer. The results found (construction of latest substations, reinforcement of existing substations, and repair space of every substation) for two test systems demonstrate the efficiency and robustness of the proposed model. Additionally, Monte Carlo simulations were administrated so as to guage the extent to which the solutions found were in a position to satisfy the substation capacity limits.


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