Transmission Power Losses Optimization by Using FACTS Devices TCSC with Soft Computing Techniques

Abstract

ABSTRACT newlineFlexible AC Transmission System (FACTS) are being approached to improve the performance of transmission and interconnection networks. Numerous studies have been made recently on these systems concerning the increase of the speed of control of the parameters of the lines (voltage, impedance and phase shift). Shunt and series offsets using power electronics systems are FACTS concepts and allow the networks to be more flexible. Shunt compensation preferably supports voltage while series compensation is used to reduce line impedance and thus increase power transfer capacity and improve the distribution of power transits in the network as well. newlineThe transmission subsystem in electrical power systems is very important, because it is in charge of bringing electrical energy from generation to the sub-transmission stage and subsequently to be distributed. The applications of the FACTS SVC in the buses of the electric power system are varied; These devices allow us to modify the power flow in the power system, in order to make the most of the capacity of the transmission lines; locating these reactive power compensating elements has a high cost, so it is necessary to locate them in an optimal and intelligent way, in order to make the investment feasible. newlineWhen electrical energy is transmitted from generation plants to users through transmission and distribution networks, energy and power losses occur, due to the physical characteristics of the network components. These losses are inherent in the conduction of electrical energy through physical means and cannot be completely avoided. There are significant opportunities to improve the energy efficiency of existing networks and future extensions. Improving efficiency means implementing measures that take levels of effectiveness beyond accepted practices for the activity. There are a number of practical measures and technologies that can be implemented to reduce network losses. This research work is divided into two phases. In first phase, a methodology is presented to