Advanced control scheme and dynamic phasor modelling of grid‐tied droop‐controlled inverters
This paper develops an advanced scheme, modelling, and analysis of power flow control intended for grid‐connected droop‐controlled VSIs within a single‐phase microgrid (MG). The proposed control scheme includes a power calculation method based on an enhanced second‐order generalized integrator frequ...
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| Published in | IET renewable power generation Vol. 19; no. 1 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
01.01.2025
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| Online Access | Get full text |
| ISSN | 1752-1416 1752-1424 1752-1424 |
| DOI | 10.1049/rpg2.12610 |
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| Abstract | This paper develops an advanced scheme, modelling, and analysis of power flow control intended for grid‐connected droop‐controlled VSIs within a single‐phase microgrid (MG). The proposed control scheme includes a power calculation method based on an enhanced second‐order generalized integrator frequency‐locked loop (ESOGI‐FLL). Contrary to the existing power calculation methods that use low‐pass filter (LPF) with a low cutoff frequency to reject the grid voltage distortion and achieve average power, which may result in reducing the power calculation speed, the involved ESOGI‐FLL can offer a fast transient response and benefits from high filtering capability of sub‐ and low‐order harmonics. In addition, the ESOGI‐FLL provides total rejection of the DC offset, which is another issue that may adversely affect the accuracy of the traditional methods. Thus, this proposal can contribute to improving the speed and accuracy of the power computation and make the power calculation scheme immune to DC disturbance, thereby enhancing the performance of the power control. On the other hand, a dynamic phasor modelling approach is adopted considering the dynamics of the ESOGI‐based power calculation, instead of the LPF transfer function used to describe the power computation dynamic in the related works. The small‐signal model of the grid‐connected VSI power flow considering the line impedance R/X ratio as well as that describing the dynamics of the ESOGI‐based power calculation are derived. Using these models, the closed‐loop model of the grid‐interactive inverter including the power controller dynamics is obtained. The system stability is assessed, which helps to determine properly the controller's gains. A simulation study of a grid‐connected VSI is carried out in MATLAB/Simulink™ and PSIM's processor in the loop (PIL) platforms to assess the effectiveness of the proposed control approach. The results confirm the effectiveness of the proposed control to regulate real and reactive powers with good transient performances when the grid is subject to several working conditions. |
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| AbstractList | This paper develops an advanced scheme, modelling, and analysis of power flow control intended for grid‐connected droop‐controlled VSIs within a single‐phase microgrid (MG). The proposed control scheme includes a power calculation method based on an enhanced second‐order generalized integrator frequency‐locked loop (ESOGI‐FLL). Contrary to the existing power calculation methods that use low‐pass filter (LPF) with a low cutoff frequency to reject the grid voltage distortion and achieve average power, which may result in reducing the power calculation speed, the involved ESOGI‐FLL can offer a fast transient response and benefits from high filtering capability of sub‐ and low‐order harmonics. In addition, the ESOGI‐FLL provides total rejection of the DC offset, which is another issue that may adversely affect the accuracy of the traditional methods. Thus, this proposal can contribute to improving the speed and accuracy of the power computation and make the power calculation scheme immune to DC disturbance, thereby enhancing the performance of the power control. On the other hand, a dynamic phasor modelling approach is adopted considering the dynamics of the ESOGI‐based power calculation, instead of the LPF transfer function used to describe the power computation dynamic in the related works. The small‐signal model of the grid‐connected VSI power flow considering the line impedance R/X ratio as well as that describing the dynamics of the ESOGI‐based power calculation are derived. Using these models, the closed‐loop model of the grid‐interactive inverter including the power controller dynamics is obtained. The system stability is assessed, which helps to determine properly the controller's gains. A simulation study of a grid‐connected VSI is carried out in MATLAB/Simulink™ and PSIM's processor in the loop (PIL) platforms to assess the effectiveness of the proposed control approach. The results confirm the effectiveness of the proposed control to regulate real and reactive powers with good transient performances when the grid is subject to several working conditions. |
| Author | Ahmed, Hafiz Chouder, Aissa Bendib, Ahmed Kherbachi, Abdelhammid Kara, Kamel |
| Author_xml | – sequence: 1 givenname: Ahmed surname: Bendib fullname: Bendib, Ahmed organization: SET Laboratory Electronics Department Blida University Blida Algeria – sequence: 2 givenname: Abdelhammid orcidid: 0000-0002-6166-7744 surname: Kherbachi fullname: Kherbachi, Abdelhammid organization: Centre de Développement des Energies Renouvelables, CDER B.P. 62 Bouzaréah Algiers Algeria – sequence: 3 givenname: Aissa surname: Chouder fullname: Chouder, Aissa organization: Electrical Engineering Laboratory (LGE) University Mohamed Boudiaf of Msila Msila Algeria – sequence: 4 givenname: Hafiz surname: Ahmed fullname: Ahmed, Hafiz organization: Nuclear Futures Institute Bangor University Bangor UK – sequence: 5 givenname: Kamel surname: Kara fullname: Kara, Kamel organization: SET Laboratory Electronics Department Blida University Blida Algeria |
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| CitedBy_id | crossref_primary_10_1038_s41598_024_62739_z crossref_primary_10_1049_gtd2_12749 crossref_primary_10_1109_TPEL_2023_3276631 crossref_primary_10_1016_j_ref_2023_100502 |
| Cites_doi | 10.1109/JESTPE.2021.3065671 10.1109/NAPS.2017.8107382 10.1109/ACCESS.2020.2986409 10.3390/electronics9101643 10.3390/en13174322 10.1109/TSG.2014.2331280 10.1109/ECCE.2019.8913043 10.1016/j.rser.2015.01.016 10.1016/j.rser.2018.03.040 10.1109/IAS.1999.798756 10.24084/repqj16.442 10.1109/TIE.2010.2066534 10.1016/j.segan.2014.10.002 10.1016/j.energy.2022.123354 10.1109/ISIE.2013.6563684 10.1016/j.jfranklin.2019.04.020 10.1109/SPEC.2018.8636035 10.1109/TIE.2008.2009274 10.1109/TIE.2007.892621 10.1109/PEDG.2010.5545801 10.1109/TIE.2011.2163372 10.1016/j.jpowsour.2022.231788 10.1109/JPROC.2017.2696878 10.1109/JESTPE.2019.2946310 10.1109/NAPS.2017.8107346 10.1016/j.epsr.2019.01.029 10.1109/TIE.2016.2606081 10.1109/ICEE-B.2017.8192134 10.1109/ECCE.2011.6063796 10.1109/TEC.2019.2941175 |
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