English Abstract
Abstract :
Photovoltaic (PV) solar energy is considered one of the highest renewable energy resources
worldwide. Hence, PV system installation capacity is increasing, triggering new power
quality problems in grid systems. Some examples of these problems include unbalanced
voltages, fluctuating power levels and harmonic distortions. To mitigate these problems, a
Distribution Flexible Alternating Current Transmission System (D-FACTS) is considered
a viable solution that can be integrated into the distribution system. Moreover, to reduce
the adverse impacts of PV integration on voltage regulation and harmonic distortion in
electrical distribution systems, a Distribution Static Synchronous Compensation (DSTATCOM) is considered a solution. The thesis aims to mitigate power quality concerns
related to PV integration by designing an advanced control system for the D-STATCOM.
A simulation study is performed by modeling a power system model with an integrated PV
system and D-STATCOM. Three control schemes, Proportional Integral (PI), Artificial
Neural Network (ANN), and Adaptive Neuro-fuzzy Inference System (ANFIS), were
applied within the internal control of D-STATCOM to enhance the power quality of the
power system. Two different inverter configurations were adapted, a Sinusoidal Pulse
Width Modulation (SPWM) and a Hysteresis Current Controller (HCC). Results are
obtained as voltage profiles for all the considered control schemes with different inverter
types under different contingency conditions. The performance is also evaluated by control
characteristics evaluation for different controllers. Different scenarios were analyzed
through graphical methods, Total Harmonic Distortion (THD), and Root Mean Squared
Error (RMSE).
