Analysis of Static Synchronous Series Compensator integrated with Superconducting Magnetic Energy Storage System using intelligent techniques

Abstract

The power system network is becoming more and more complex because of expansions and restructuring. The statistical data has proved the increase in the demand for electricity day by day. Due to this, the power transmission lines are operated beyond its thermal limits and the quality of the electricity degrades. In expansion and restructuring, right-of-way problem and instability problems exist. Flexible AC Transmission System (FACTS) devices are reactive power compensators which utilize the recent power electronic devices with both turn on and off capability. These devices make the rigid power system flexible. A three area system is taken for analysis and series compensating device - the Static Synchronous Series Compensator (SSSC) - is connected in the system which has proved that the performance of the system has improved. Amongst the energy storage systems, the Superconducting Magnetic Energy Storage (SMES) system is recent and more research works are carried out to commercialise the same. Hence, in the proposed system with SSSC, an SMES is added and a comparative analysis is made for the system with (integrated system) and without energy storage device. Initially, conventional Proportional Integral (PI) controller has been designed for the control of the system with and without energy storage device. Back-propagation network is used in the neural network. For reducing errors in the current, Mean Square Error (MSE) is taken as the performance criterion for the network. The analysis of the system is done with the simulation of changes in the real and reactive power references for power flow control and a three phase to ground fault is simulated in one of the transmission lines for transient stability analysis. In future, the hybrid intelligent controllers such as neuro-fuzzy, genetic neuro fuzzy etc. may be used to have still better performances in the transient response of the system. newline