Online Tracking and Mitigation of Voltage Flicker Using Neural Network
نویسندگان
چکیده
This paper proposes an on-line neural network based Distributed Static Compensator (DSTATCOM) for a three-phase, three-wire grid connected distribution system to mitigate the voltage flicker. The technique is based on instantaneous tracking of the voltage envelope and phase angle using online neural network based estimator. These estimated values are used by neural controllers to compute inputs to Hysteresis current controller (HCC), which generate switching signals for DSTATCOM. On line estimation and control makes the system faster, more adaptive and more robust to the changes in system parameters and disturbances. The proposed DSTATCOM is examined by tracking and mitigating flicker produced by an unsymmetrical fault and an arc furnace load in a simple distribution system simulated in SIMULINK. Simulated results show superiority of the proposed controller over conventional PI based DSTATCOM. KeywordsPower Quality; DSTATCOM; Voltage Flicker; Arc furnace; Estimation
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