Shaik, Abdul Gafoor

Wind Energy (WE) is intermittent and uncertain in nature, and its integration with weak AC grid in the presence of inductive loads largely deteriorates the power quality (PQ). In such scenario grid synchronization at higher WE, penetration level becomes a major challenge in the distribution network. This paper presents a method to mitigate PQ issues in weak AC grid with high WE penetration using distribution static compensator (DSTATCOM) controlled by an adaptive linear neural network-based least mean square (ADALINE-LMS) control algorithm. This control algorithm minimizes the current error by continuous tracking of active unit voltage templates and extracting the weight component of the load current to estimate reference current signals. These reference signals and actual weak AC grid current signals are fed to the hysteresis current controller to generate switching signals for DSTATCOM thereby facilitating smooth grid synchronization and enhance WE penetration level. The proposed control algorithm has been successfully implemented in case a weak AC grid with higher WE penetration level in MATLAB environment.

Wind energy (WE) source becomes widely used renewable energy sources for generating green, clean, and sustainable electrical energy due to their low cost and high efficiency. Integration of WE sources into the weak AC grid with unbalanced load is a significant cause of power quality deterioration. Therefore, wind side inverter is not capable of fulfilling the reactive power requirement and penetration level of the active power of the wind is very less. Thus, distribution static compensator (DSTATCOM) is a smart solution to enhance the capability of WE sources to support the voltage of weak grids during the increase of WE penetration. In this work, the fourth-order least mean fourth (LMF) based adaptive control algorithm is proposed for smooth control of real and reactive power requirement by generating switching signals for DSTATCOM to enhance the WE penetration in weak AC grid in the presence of unbalanced load. The control algorithm has been successfully implemented in the MATLAB environment.

This paper presents a fuzzy logic based synchronous reference frame algorithm for distribution static compensator to enhance the power quality of a weak AC grid. The proposed algorithm maintains constant DC-link voltage and extracts fundamental weighted values of load currents to es timate reference current. Thes e reference currents are utilized by DSTATCOM to mitigate the power quality. This control algorithm has been tested success fully in regulating the vol tage, mi tigating the harmonics, and load balancing for different types of loads at the point of common coupling.