Neuro-Fuzzy Controllers for Power Quality Improvement of Grid Connected PV-Battery-Diesel based Hybrid Supply System

Abstract

Diesel generators are commonly operated to supply electric power for many apartments, hospitals, institutes and industries during off grid mode. However, consumption of heavy diesel can causes harmful effect to atmosphere and surroundings. Under these circumstances, integrated photovoltaic system (PVS) to the diesel generators can able to give some viable solutions for many problems. In order to store the energy from PVS during off grid mode as well as to provide uninterrupted power supply into load bus, a battery bank is also incorporated into the system in this paper.These kinds of system are mainly connected in distribution system. Hence, a proper inverter controller needs to be implemented for maintaining power quality. Neuro-Fuzzy based controllers are implemented to use in the control block of the inverter to achieve the fast and precious responses during quick variations happens in the system. In addition with this, a sliding mode controller is also incorporated with inverter controller to regulate invert input current.A hardware- in the -loop by OPAL-RT devices is established to collect the results under various operating conditions.

Keywords

• pvs
• power quality
• hardware-in-loop
• diesel generator
• grid
• battery
• inverter
• ts-fuzzy