Investigation of AI Based MC-UPFC for Real Power Flow Control

Abstract

Unified power flow controller (UPFC) is one among the FACTS devices which is dealt in this work to improve the power transferring ability of the system. In this paper, we developed the matrix-converter-based UPFC (MC-UPFC), whereas classical UPFC is made up of two standard converters back to back connected through DC link, the converters are static synchronous shunt converter (STATCOM) and static synchronous series converter (SSSC). In our work, a MC-UPFC was implemented and tested in the IEEE-standard 14 bus system. The control of the MC-UPFC is done with the artificial intelligence system called fuzzy logic controller (FLC). UPFC can control both basic parameters of transmission system called real power [P] and reactive power [Q]. FLC gives the switching control states, and accordingly MC-UPFC will inject control voltage [Vc] at a control angle [α]. At a same time, MC-UPFC can control both real power flow and reactive power flow in the transmission system. With appropriate switching states in the MC-UPFC, the FLC gives the control signal to maintain both real and reactive power independently. The control signal was derived based on the proportional sliding surface switching states given as lookup tables in the FLC. The FLC will take decision, so that the magnitude and angle of the control voltage to be injected will fed to the power system by the MC-UPFC. FLC based MC-UPFC maintains the preset standards of required real and reactive power at a given condition. The result shows FLC give good performance. The work was designed in the MATLAB Simulink platform which gives very accurate results with user friendly. The tool gives access to store and study various performance analysis parameters like total harmonic distortion index.