Main objective of this project is to mitigate the power quality problems existing in the grid and the harmonics penetrated by the non-linear loads. Providing power especially during the longer-term voltage interruption.
In this project, to mitigate the power quality problems existed in the grid and the harmonics penetrated by the non-linear loads, a Unified Power Quality Conditioner (UPQC) is proposed. The UPQC is integrated with Photovoltaic (PV) and Battery Energy Storage System (BESS). Generally, the PV system supplies the active power to the load. However, if the PV is unable to supply the power then the BESS activates and provides power especially during the longer-term voltage interruption.
The standalone PV-UPQC system is less reliable compared to a hybrid PV-BESS system because of its instability and high environment-dependency. Therefore, BESS will improve the voltage support capability continuously in the longer-term, reduce the complexity of the DC-link voltage regulation algorithm, and keep producing clean energy.
The phase synchronization operation of the UPQC controller is directed by a Self-Tuning Filter (STF) integrated with the Unit Vector Generator (UVG) technique. Implementation of STF will make sure the UPQC can successfully operate under unbalanced and distorted grid voltage conditions. Thus, the requirement of a Phase-Locked Loop (PLL) is omitted and the STF-UVG is utilized to produce the synchronization phases for the series and shunt Active Power Filter (APF) compensator in UPQC controller. Finally, the proposed STF-UVG method is compared with the conventional Synchronous References Frame (SRF-PLL) method based UPQC to show the significance of the proposed technique. Several case studies are further considered to validate the study in MATLAB-Simulink software.
Keywords: Battery Energy Storage System (BESS), Power Quality, Self-Tuning Filter (STF), Solar Photovoltaic (PV), Unified Power Quality Conditioner (UPQC).
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software Configuration:
Operating System : Windows 7/8/10
Application Software : Matlab/Simulink
Hardware Configuration:
RAM : 8 GB / 4 GB (Min)
Processor : I3 / I5(Mostly prefer)