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research-article

31 July 2019

power system simulation,
control system synthesis,
Matlab,
voltage control,
mean square error methods,
power capacitors,
PI control,
power grids,
power system harmonics,
synchronisation,
nonlinear filters,
harmonic distortion,
power generation control,
Kalman filters,
photovoltaic power systems,
power supply quality,
grid current,
IEKF-PI control scheme,
PV system,
photovoltaic system,
three-phase grid,
fundamental sinusoidal component,
distorted voltage signals,
current signal,
Kalman gain,
estimation error covariance,
accurate estimation,
iterative loop,
mean square error,
maximum PV power extraction,
proportional–integral controller,
DC capacitor voltage,
self-tuning filter-PI control scheme,
iterated extended Kalman filtering algorithm,
iterated extended Kalman filter-based grid synchronisation control,
convergence speed,
incremental conductance approach,
MATLAB-Simulink,
extended Kalman filter-PI control,
EKF-PI control,
STF-PI control,
total harmonic distortion,
PCC voltage sag

A new control scheme employing the Iterated Extended Kalman Filtering (IEKF) algorithm for synchronization of a PV system with a three-phase grid is proposed. IEKF accurately estimates the fundamental sinusoidal component of the distorted voltage signals at the Point of Common Coupling (PCC) and the current signal of the load. The Kalman gain is updated through the minimization of the estimation error covariance yielding accurate estimation of the fundamental component of the aforementioned voltage and current signals. IEKF uses an iterative loop to reduce the mean square error and also increases the convergence speed. The proposed IEKF-PI control scheme is implemented using MATLAB/Simulink first and then it is realised on a prototype of a single stage grid connected PV system developed in the laboratory. From the results obtained from both the simulation and experimental studies, it is concluded that after compensation, the grid current reaches the steady state faster using IEKF-PI than using EKF-PI and STF-PI. The Total Harmonic Distortion (THD) of the grid current is compensated to a lowest value of 3.5% using the proposed IEKF-PI control scheme than that obtained using both EKF-PI and STF-PI, despite distortion of PCC voltage and PCC voltage sag and swell condition.

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- Abstract: not found
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Josep Pou, Pedro Rodriguez, Joan Bergas … (2007)

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Jose Leon, Samir Kouro, Dimitri Vinnikov … (2015)

power system simulation,incremental conductance approach,harmonic distortion,Matlab,convergence speed,power generation control,iterated extended Kalman filter-based grid synchronisation control,Kalman filters,photovoltaic power systems,iterated extended Kalman filtering algorithm,power supply quality,total harmonic distortion,self-tuning filter-PI control scheme,grid current,IEKF-PI control scheme,voltage control,DC capacitor voltage,PV system,proportional–integral controller,photovoltaic system,three-phase grid,maximum PV power extraction,fundamental sinusoidal component,mean square error,distorted voltage signals,STF-PI control,current signal,mean square error methods,iterative loop,Kalman gain,accurate estimation,estimation error covariance,PCC voltage sag,power capacitors,control system synthesis,EKF-PI control,PI control,extended Kalman filter-PI control,power grids,power system harmonics,MATLAB-Simulink,synchronisation,nonlinear filters

power system simulation, incremental conductance approach, harmonic distortion, Matlab, convergence speed, power generation control, iterated extended Kalman filter-based grid synchronisation control, Kalman filters, photovoltaic power systems, iterated extended Kalman filtering algorithm, power supply quality, total harmonic distortion, self-tuning filter-PI control scheme, grid current, IEKF-PI control scheme, voltage control, DC capacitor voltage, PV system, proportional–integral controller, photovoltaic system, three-phase grid, maximum PV power extraction, fundamental sinusoidal component, mean square error, distorted voltage signals, STF-PI control, current signal, mean square error methods, iterative loop, Kalman gain, accurate estimation, estimation error covariance, PCC voltage sag, power capacitors, control system synthesis, EKF-PI control, PI control, extended Kalman filter-PI control, power grids, power system harmonics, MATLAB-Simulink, synchronisation, nonlinear filters