Artificial Neural Networks (ANNs) have demonstrated very interesting properties in adaptive identification schemes and control laws. In this work, they are employed for the on-line control strategy of an Active Power Filter (APF) in order to improve its performance. Indeed, neural-based approaches are synthesized to design adaptive and efficient harmonic identification schemes. The proposed neu...

Active power filters most of the times are employed for elimination of the harmonics created by non-linear loads in power system and for reactive power compensation of linear and non-linear loads. Compensating current is sent by shunt active power filter (SAF) at Point of Common Coupling (PCC) to mitigate current harmonics in the line. Hence sinusoidal nature of current and voltage waveforms ar...

Power generation from Renewable Energy Sources (RESs) is unpredictable due to climate or weather changes. Therefore, more control strategies are required maintain the proper power supply in entire microgrid. This paper presents a simulation scheme utilizing solar system instanced by Photovoltaic (PV) panels coupled grid, loads, and an energy storage device. At first, modeling PV cell their oper...

Harmonic currents are introduced into power system as use of nonlinear electrical loads increases. Extra losses caused by harmonic current stream effective supply lines. A dynamic filter engenders compensating using a switching inverter. Single-phase the connects in parallel to load end and inject required feeder avoid direction system. This report discusses problem, available mitigation techni...

active filters have proven to be more effective than passive techniques to improve power quality and to solve harmonic and power factor problems due to nonlinear loads. this paper proposes a control scheme based on the instantaneous active and reactive power. the inverter of this active filter is a three-phase, two-level converter. space vector technique is used as modulators and pattern genera...