Improved Widrow–Hoff Based Adaptive Control of Multiobjective PV-DSTATCOM System

This article presents an adaptive control algorithm for a multiobjective grid-tied solar photovoltaic (PV)-distribution static compensator. The multiobjective system extracts the maximum energy available across the solar PV array and delivers it to the load and the grid connected at the common point of interconnection (PIC). In addition to this, the system reduces the losses on the distribution network and improves the quality of the voltage at the PIC by maintaining the grid currents balanced with THD value less than 5%. The perturb and observe-based maximum power point tracking method is used to extract the maximum energy, while the voltage source converter (VSC) is controlled by the presented improved Widrow–Hoff algorithm. This control algorithm improves the grid current power quality by estimating the fundamental component of the load current. It uses two weight to track the desired signal as compared to the other existing similar algorithms, which improves its tracking accuracy, reduces the steady-state error, and oscillation form the desired output signal. The same algorithm is used for synchronization of the VSC with the distribution network. Hence, it eliminates the need for another algorithm for the synchronization, which further improves its performance in dynamic conditions. An additional feed-forward term corresponding to the solar PV array (
I
_PVFF
) power is added in the VSC control to improve its dynamic response in the severe atmospheric conditions. The performance of the system is validated through simulated and test results in various dynamic conditions.