AI Based STATCOM for Power Quality Enhancement
|Ravikanth Mopidevi1, L. Ravi Srinivas2, B.Mahesh babu3, S.S.Tulasiram4
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The tradition of non-linear loads in Electrical power system has sparked the research in power quality (PQ) concern like voltage flicker, voltage sag and swell, harmonics, etc., Among all the other concerns, one of the major significant PQ problem is Harmonics. The inception of Nonlinear Load into the power system will have the effect of harmonics. These nonlinear loads appear to be prime sources of harmonic distortion in a power distribution system. Harmonics have a number of undesirable effects like Voltage flicker, voltage sag and swell, harmonics etc., on the distribution system. These harmonics are to be mitigated for Power Quality Enhancement. The STATCOM is one of the FACTS Devices which can be used to mitigate the harmonics. The necessity of using intelligent tools in power quality analysis is increasing day by day to enhance power quality in the utility. This paper deals with analysis and comparison of optimized PI based Differential Evolution (DE) technique and controlled fuzzy-PI controller with conventional PI controller used in STATCOM for harmonic reduction in the source current. SRF theory is used to generate the reference compensating currents. Hysteresis Band Current Controller (HBCC) is used to control the switching of Voltage Source Inverter.