Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets
The aim of this study is to develop a method based on fuzzy logic theory to accurately and effectively monitor a phase of a distribution line regarding its ampacity level; a crucial towards the health of the power system procedure. Especially on the era of competitive electricity markets where electricity demand is formed based solely on the level of the prevailing electricity usage price at each particular time instance. All the data have been acquired by using the GridLAB-D simulation platform, while the fuzzy logic algorithm has been implemented and tested using the fuzzy logic toolbox of Matlab.
In this work is studied the automation of a railway cable laying system using a PLC as regulator, where the objective is to keep as stable as possible the stress of the cable being laid. As the system was completely manual, a previous work has been needed in order to set both sensors and actuators so that the system can be electrically controlled. Different tests were done in order to find out the relationship between the different variables, and to propose a regulator algorithm according to these. The obtained results show that the system is properly automated via PLC using the designed regulator.