Harmonic Estimation of PV - Integrated Microgrid Using Kalman Filter
- Resource Type
- Conference
- Authors
- Samal, Subhasish; Nayak, Pravati; Mallick, Ranian Kumar; Bhoi, Ashok; Mishra, Sairam; Panda, Gayadhar
- Source
- 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT) Computing, Power and Communication Technologies (GlobConPT), 2022 IEEE Global Conference on. :1-6 Sep, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Photovoltaic systems
Power quality
Estimation
Microgrids
Pulse width modulation
Harmonic analysis
Mathematical models
Harmonic Estimation (HE)
Photovoltaic (PV) Integrated Microgrid
Kalman Filter (KF)
Voltage Source Converter (VSC)
SPWM Control
Total Harmonic Distortion (THD)
MATLAB/Simulink
- Language
The proposed work focuses on estimation of harmonics using Kalman Filter (KF) in a photovoltaic (PV) integrated microgrid. The integration of photovoltaic system in utility grid injects harmonics in the distribution network due to voltage source-based high-power converters. The generation of harmonics basically depends on converter type and control techniques. The voltage source converter (VSC) with sinusoidal pulse width modulation (SPWM) is used in this study. Estimation of amplitude and phase angle of different harmonics are essential for the design of harmonic filters to improve power quality. So, an attempt has been made to estimate the harmonic content up to 11 th harmonics. The PV integrated microgrid is modelled in MATLAB/Simulink environment. The model employs tuned proportional and integral controller and tested in V-f and P-Q control mode. Output waveforms of raw voltage and current signals are obtained at point of common coupling (PCC) and processed by the proposed Kalman Filter. The efficacy of the developed technique is verified using various simulation studies.