Power System Health Monitoring Based on Energy Losses using Genetic Algorithm

Abstract

System health assessment becomes ever more important as consumers take for granted the apparent infallible character of power supply and the extremely high costs of prolonged down times. A system that achieves minimum operational disruptions becomes a target for all grid operators. This paper tackles the system heath issue in distribution networks by evaluating overall network losses. Using a genetic algorithm, the system health is evaluated considering key elements within the network operation.

Authors and Affiliations

Andrei Ioaneş, Radu Tîrnovan

Keywords

Related Articles

New Aspects Concerning the CEUS Figures Identified at Ferrofluid Utilisation in Rotating Magnetic Field

Within the EMAD Research Center was initiated researches about CEUS figures obtained by exposing the content of a cylindrical container on the progressive action of the magnetic field produced by a special winding associ...

Monitoring System Dynamic Regimes with VariableReluctance Synchronous Motors

This paper will present an overview of how can we use a data acquisition (DAQ) device to quickly and easily acquire and present the data of dynamic regimes of variable reluctance synchronous motors. The described monitor...

Calculation of Digital Control Circuits using Scilab Environment

The paper presents the computing of digital control circuits using Scilab environment. It exemplifies the influence of the sampling time in case of a transfer system described by a PT3 element composed of one PT1 and one...

Optimal Control of an Electrical Drive System with Variable Torque

The optimal control from the energetic point of view of the transient state of electrical drive systems is presented. A step variation of the load torque in the optimization interval is considered. The performance criter...

Effects of Structural Damage on Dynamic Behavior at Sandwich Composite Beams – Part II- FEM Analysis

This paper presents results obtained by modal analysis on composite beam like structures in healthy and damaged state. The aim is to obtain damage “signatures” for all possible damage scenarios and to use these data to a...

Download PDF file
  • EP ID EP447691
  • DOI -
  • Views 123
  • Downloads 0

How To Cite

Andrei Ioaneş, Radu Tîrnovan (2018). Power System Health Monitoring Based on Energy Losses using Genetic Algorithm. Analele Universitatii "Eftimie Murgu" Resita. Fascicula de Inginerie, 25(2), 77-86. https://europub.co.uk/articles/-A-447691