BELBIC Control of DSTATCOM for voltage regulation

Abstract

In the DSTATCOM controlled distribution feeders, the DC capacitor voltage balancing plays an imperative role to regulate the voltage at Point of Common Coupling (PCC). To perform faster compensation using this device, the load current has to be tracked accurately. Further, the dc capacitor voltage has to be maintained constant for perfect current tracking. The dc capacitor voltage is generally regulated with the use of conventional PI controller. In this study, two types of controllers have been proposed viz., fuzzy tuned PI controller and a Brain Emotional Learning Based Intelligent Controller (BELBIC).  Apart from dc capacitor voltage regulation, these controllers improve the transient performance of the capacitor voltage as well. The DSTATCOM controlled distribution system taken up for study is modeled with a non linear load and an unbalanced load. As far as the reference currents of this system are concerned, they are generated using instantaneous symmetrical component theory. For performance comparison, the response of the system is obtained with fuzzy tuned PI controller and BELBIC controller. The simulated results validates that the BELBIC controller exhibits superior performance characteristics than the conventional PI and the fuzzy tuned PI controller. The control algorithm is evaluated using DSP (dSPACE 1104) and the results are studied under unbalanced non linear load conditions.