TY - GEN
T1 - Echo State Network Control Based Power Quality Enhancement in Grid-Interactive Solar Photovoltaic System
AU - Morey, Meghraj
AU - Gupta, Nitin
AU - Garg, Man Mohan
AU - Kumar, Ajay
AU - Gali, Vijay Kumar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This study applies an echo-state network (ESN)-based technique to enhance the utility power quality performance in a grid-integrated solar photovoltaic (PV) system supplying a specially non-linear load. The proposed system serves multiple functionalities, such as improvement of power quality parameters, which includes harmonics suppression, load balancing, neutral current compensation, source reactive power reduction and correcting low power factor, simultaneously managing the solar PV power generated for supplying the load. The proposed control algorithm extracts the contaminated source currents' active and non-active harmonic free fundamental weight components. These weights are further used to estimate the source current reference signals and generate the switching signals for the voltage source inverter (VSI) that integrates the grid with the solar PV system. A small-scale two-stage PV power unit linked with a grid is developed in the laboratory. A DSP-dSPACE 1104 controller is used to implement the ESN controller for the grid-integrated PV system. In a three-phase, four-wire distribution system, the suggested algorithm has been evaluated and demonstrated to effectively address multiple power quality issues while managing solar energy.
AB - This study applies an echo-state network (ESN)-based technique to enhance the utility power quality performance in a grid-integrated solar photovoltaic (PV) system supplying a specially non-linear load. The proposed system serves multiple functionalities, such as improvement of power quality parameters, which includes harmonics suppression, load balancing, neutral current compensation, source reactive power reduction and correcting low power factor, simultaneously managing the solar PV power generated for supplying the load. The proposed control algorithm extracts the contaminated source currents' active and non-active harmonic free fundamental weight components. These weights are further used to estimate the source current reference signals and generate the switching signals for the voltage source inverter (VSI) that integrates the grid with the solar PV system. A small-scale two-stage PV power unit linked with a grid is developed in the laboratory. A DSP-dSPACE 1104 controller is used to implement the ESN controller for the grid-integrated PV system. In a three-phase, four-wire distribution system, the suggested algorithm has been evaluated and demonstrated to effectively address multiple power quality issues while managing solar energy.
KW - echo state network
KW - grid-integrated PV system
KW - harmonics
KW - power quality
KW - solar photovoltaic (PV) system
UR - http://www.scopus.com/inward/record.url?scp=85185816207&partnerID=8YFLogxK
U2 - 10.1109/ETFG55873.2023.10408111
DO - 10.1109/ETFG55873.2023.10408111
M3 - Conference contribution
AN - SCOPUS:85185816207
T3 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Y2 - 3 December 2023 through 6 December 2023
ER -