The objective of the proposed work is to develop the maximum power point tracking controller and inverter controller by applying the adaptive Least mean square algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is simple and required less computational time. The adaptive LMS algorithm is applied to modify the perturbation and observation, maximum power point tracking controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The development of the inverter control law is done using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and later compared them to the actual grid currents. The comparison result is used to generate the switching gate pulses for inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in current and voltage is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is done by selecting step incremental values and sampling time.
| Published in | American Journal of Electrical Power and Energy Systems (Volume 12, Issue 2) |
| DOI | 10.11648/j.epes.20231202.12 |
| Page(s) | 32-39 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Solar PV System, MPPT Controller, Inverter Controller, Adaptive Control Algorithm, Power Quality Issues
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APA Style
Nalini Karchi, Deepak Kulkarni. (2023). Adaptive LMS MPPT Controller and Adaptive Inverter Control Law to Control the Solar Photovoltaic System. American Journal of Electrical Power and Energy Systems, 12(2), 32-39. https://doi.org/10.11648/j.epes.20231202.12
ACS Style
Nalini Karchi; Deepak Kulkarni. Adaptive LMS MPPT Controller and Adaptive Inverter Control Law to Control the Solar Photovoltaic System. Am. J. Electr. Power Energy Syst. 2023, 12(2), 32-39. doi: 10.11648/j.epes.20231202.12
AMA Style
Nalini Karchi, Deepak Kulkarni. Adaptive LMS MPPT Controller and Adaptive Inverter Control Law to Control the Solar Photovoltaic System. Am J Electr Power Energy Syst. 2023;12(2):32-39. doi: 10.11648/j.epes.20231202.12
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Download@article{10.11648/j.epes.20231202.12,
author = {Nalini Karchi and Deepak Kulkarni},
title = {Adaptive LMS MPPT Controller and Adaptive Inverter Control Law to Control the Solar Photovoltaic System},
journal = {American Journal of Electrical Power and Energy Systems},
volume = {12},
number = {2},
pages = {32-39},
doi = {10.11648/j.epes.20231202.12},
url = {https://doi.org/10.11648/j.epes.20231202.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20231202.12},
abstract = {The objective of the proposed work is to develop the maximum power point tracking controller and inverter controller by applying the adaptive Least mean square algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is simple and required less computational time. The adaptive LMS algorithm is applied to modify the perturbation and observation, maximum power point tracking controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The development of the inverter control law is done using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and later compared them to the actual grid currents. The comparison result is used to generate the switching gate pulses for inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in current and voltage is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is done by selecting step incremental values and sampling time.},
year = {2023}
}
TY - JOUR T1 - Adaptive LMS MPPT Controller and Adaptive Inverter Control Law to Control the Solar Photovoltaic System AU - Nalini Karchi AU - Deepak Kulkarni Y1 - 2023/06/05 PY - 2023 N1 - https://doi.org/10.11648/j.epes.20231202.12 DO - 10.11648/j.epes.20231202.12 T2 - American Journal of Electrical Power and Energy Systems JF - American Journal of Electrical Power and Energy Systems JO - American Journal of Electrical Power and Energy Systems SP - 32 EP - 39 PB - Science Publishing Group SN - 2326-9200 UR - https://doi.org/10.11648/j.epes.20231202.12 AB - The objective of the proposed work is to develop the maximum power point tracking controller and inverter controller by applying the adaptive Least mean square algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is simple and required less computational time. The adaptive LMS algorithm is applied to modify the perturbation and observation, maximum power point tracking controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The development of the inverter control law is done using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and later compared them to the actual grid currents. The comparison result is used to generate the switching gate pulses for inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in current and voltage is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is done by selecting step incremental values and sampling time. VL - 12 IS - 2 ER -
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