A robust dynamic control strategy for standalone PV system under variable load and environmental conditions
Dual-stage standalone photovoltaic (PV) systems suffer from stability, reliability issues, and their efficiency to deliver maximum power is greatly affected by changing environmental conditions. A hybrid back-stepping control (BSC) is a good candidate for maximum power point tracking (MPPT) however,...
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my.utm.1042042024-01-22T07:22:00Z http://eprints.utm.my/104204/ A robust dynamic control strategy for standalone PV system under variable load and environmental conditions Anjum, Waqas Husain, Abdul Rashid Abdul Aziz, Junaidi Ur Rehman, Syed Muhammad Fasih Bakht, Muhammad Paend Alqaraghuli, Hasan TK Electrical engineering. Electronics Nuclear engineering Dual-stage standalone photovoltaic (PV) systems suffer from stability, reliability issues, and their efficiency to deliver maximum power is greatly affected by changing environmental conditions. A hybrid back-stepping control (BSC) is a good candidate for maximum power point tracking (MPPT) however, there are eminent steady-state oscillations in the PV output due to BSC’s recursive nature. The issue can be addressed by proposing a hybrid integral back-stepping control (IBSC) algorithm where the proposed integral action significantly reduces the steady-state oscillations in the PV array output under varying temperature and solar irradiance level. Simultaneously, at the AC stage, the primary challenge is to reduce both the steady-state tracking error and total harmonic distortion (THD) at the output of VSI, resulting from the load parameter variations. Although the conventional sliding mode control (SMC) is robust to parameter variations, however, it is discontinuous in nature and inherit over-conservative gain design. In order to address this issue, a dynamic disturbance rejection strategy based on super twisting control (STC) has been proposed where a higher order sliding mode observer is designed to estimate the effect of load disturbances as a lumped parameter which is then rejected by the newly designed control law to achieve the desired VSI tracking performance. The proposed control strategy has been validated via MATLAB Simulink where the system reaches the steady-state in 0.005 s and gives a DC–DC conversion efficiency of 99.85% at the peak solar irradiation level. The AC stage steady-state error is minimized to 0 V whereas, THD is limited to 0.07% and 0.11% for linear and non-linear loads, respectively. MDPI 2022-04-02 Article PeerReviewed application/pdf en http://eprints.utm.my/104204/1/AbdulRashidHusain2022_ARobustDynamicControlStrategy.pdf Anjum, Waqas and Husain, Abdul Rashid and Abdul Aziz, Junaidi and Ur Rehman, Syed Muhammad Fasih and Bakht, Muhammad Paend and Alqaraghuli, Hasan (2022) A robust dynamic control strategy for standalone PV system under variable load and environmental conditions. Sustainability, 14 (8). pp. 1-27. ISSN 2071-1050 http://dx.doi.org/10.3390/su14084601 DOI:10.3390/su14084601 |
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TK Electrical engineering. Electronics Nuclear engineering Anjum, Waqas Husain, Abdul Rashid Abdul Aziz, Junaidi Ur Rehman, Syed Muhammad Fasih Bakht, Muhammad Paend Alqaraghuli, Hasan A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
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Dual-stage standalone photovoltaic (PV) systems suffer from stability, reliability issues, and their efficiency to deliver maximum power is greatly affected by changing environmental conditions. A hybrid back-stepping control (BSC) is a good candidate for maximum power point tracking (MPPT) however, there are eminent steady-state oscillations in the PV output due to BSC’s recursive nature. The issue can be addressed by proposing a hybrid integral back-stepping control (IBSC) algorithm where the proposed integral action significantly reduces the steady-state oscillations in the PV array output under varying temperature and solar irradiance level. Simultaneously, at the AC stage, the primary challenge is to reduce both the steady-state tracking error and total harmonic distortion (THD) at the output of VSI, resulting from the load parameter variations. Although the conventional sliding mode control (SMC) is robust to parameter variations, however, it is discontinuous in nature and inherit over-conservative gain design. In order to address this issue, a dynamic disturbance rejection strategy based on super twisting control (STC) has been proposed where a higher order sliding mode observer is designed to estimate the effect of load disturbances as a lumped parameter which is then rejected by the newly designed control law to achieve the desired VSI tracking performance. The proposed control strategy has been validated via MATLAB Simulink where the system reaches the steady-state in 0.005 s and gives a DC–DC conversion efficiency of 99.85% at the peak solar irradiation level. The AC stage steady-state error is minimized to 0 V whereas, THD is limited to 0.07% and 0.11% for linear and non-linear loads, respectively. |
format |
Article |
author |
Anjum, Waqas Husain, Abdul Rashid Abdul Aziz, Junaidi Ur Rehman, Syed Muhammad Fasih Bakht, Muhammad Paend Alqaraghuli, Hasan |
author_facet |
Anjum, Waqas Husain, Abdul Rashid Abdul Aziz, Junaidi Ur Rehman, Syed Muhammad Fasih Bakht, Muhammad Paend Alqaraghuli, Hasan |
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Anjum, Waqas |
title |
A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
title_short |
A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
title_full |
A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
title_fullStr |
A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
title_full_unstemmed |
A robust dynamic control strategy for standalone PV system under variable load and environmental conditions |
title_sort |
robust dynamic control strategy for standalone pv system under variable load and environmental conditions |
publisher |
MDPI |
publishDate |
2022 |
url |
http://eprints.utm.my/104204/1/AbdulRashidHusain2022_ARobustDynamicControlStrategy.pdf http://eprints.utm.my/104204/ http://dx.doi.org/10.3390/su14084601 |
_version_ |
1789424393655418880 |
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13.160551 |