Transient Enhancement of Smart Grid Using SMES Controlled by PID and Fuzzy Logic Control

A Smart Grid is an electrical system that is comprised of energy sources, controls, computers and equipment integrated to operate as a unit in the form of an electrical grid to respond to changing power demands. Renewable energy technologies such as a wind turbine are part of this unit. The output power of wind generators experiences dramatic daily fluctuations that are caused by changes in weather patterns. This may adversely affect the power quality and system. To mitigate the effects of these variations, energy storage devices (ESDs) such as superconducting magnetic energy storage system (SMES) can be incorporated into the power system to enhance transient performance and inject or draw electricity to the grid as required. The important role of SMES in the system is to control the system by improving transient stability, which is achieved by use of control technologies. VSC-Based SMES has been used. In this paper, a Proportional-Integral-Derivative (PID) controller and Fuzzy Logic control (FLC) are compared and contrasted. The goal in this paper is to determine which of the two control technologies provides a superior performance while also taking the computational complexity of the simulation into account. Two scenarios in the results have been performed in MATLAB/Simulink 2016b software and the simulation results have validated that FLC is more efficient compared to PID. However, FLC takes approximately 70% more control time.