EFFECTIVE POWER QUALITY MANAGEMENT IN GRID CONNECTED WIND ENERGY SYSTEM THROUGH PERFORMANCE ENHANCED STATCOM
S. SANGEETHA R. MAHALAKSHMI
industrial electrical power systems
Power system accompanied by the drastic number of challenges like dynamic change in the system, power quality issues and power flow are found to be more prominent ingrid-connected renewable system. Power quality management which arises due to non-linear loads connected to the system. Power quality management is the major factor for renewable application due to stochastic nature affects the operation of sensitive applications. To maintain appropriate power quality traditional approaches uses Static synchronous compensator (STATCOM) incorporated with Proportional-Integral (PI) controller by the principle of point of common coupling (PCC). In this research to improve the power quality management of renewable system traditional PI controller in STATCOM is replaced with fuzzy logic controller (FLC), artificial neural network (ANN) controller and adaptive neuro-fuzzy inference system (ANFIS) controller. Replacement of FLC, ANN in PI controller approximates the linear functionality of the STATCOM for maintaining appropriate power level. The proposed approach performance is evaluate using MATLAB/SIMULINK environment with both synchronous Generator and doubly fed Induction Generator. Simulation results exhibit that replacement of controller in PI controller provides compensation current in PCC in an acceptable range. Further, the incorporation of controllers reduced the Total Harmonic Distortion (THD) value at a significant amount for ANFIS controller.
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