Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system
This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a s...
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| Published in: | IET power electronics Vol. 12; no. 9; pp. 2321 - 2329 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
The Institution of Engineering and Technology
07.08.2019
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| Subjects: | |
| ISSN: | 1755-4535, 1755-4543 |
| Online Access: | Get full text |
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| Abstract | This study deals with the modified amplitude adaptive notch filter (AANF)-based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a storage battery. The main objective of the proposed modified AANF (MAANF)-based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics. The advanced features of proposed control algorithm are the DC-offset rejection from the input signal and fast frequency estimation, which enable the MAANF control algorithm to rapidly and accurately estimate the fundamental components of the distorted load currents. Therefore, the estimated reference source currents remain immune to the DC offset and various harmonic currents. The active power balance is achieved by regulating the DC-link voltage using a bidirectional DC–DC converter, which is connected between the DC link of the voltage source converter and a storage battery. Test results have validated the control algorithm under various steady-state and dynamic operating conditions. |
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| AbstractList | This study deals with the modified amplitude adaptive notch filter (AANF)‐based control algorithm for managing the generated power from different energy sources in an autonomous microgrid. In this study, the autonomous microgrid consists of a wind energy conversion system, photovoltaic array and a storage battery. The main objective of the proposed modified AANF (MAANF)‐based control algorithm is to control the flow of active and reactive powers among the different energy sources and the load, along with the regulation of the point of common coupling (PCC) voltages and mitigation of the source current harmonics. The advanced features of proposed control algorithm are the DC‐offset rejection from the input signal and fast frequency estimation, which enable the MAANF control algorithm to rapidly and accurately estimate the fundamental components of the distorted load currents. Therefore, the estimated reference source currents remain immune to the DC offset and various harmonic currents. The active power balance is achieved by regulating the DC‐link voltage using a bidirectional DC–DC converter, which is connected between the DC link of the voltage source converter and a storage battery. Test results have validated the control algorithm under various steady‐state and dynamic operating conditions. |
| Author | Kewat, Seema Singh, Bhim |
| Author_xml | – sequence: 1 givenname: Seema surname: Kewat fullname: Kewat, Seema email: seemajmi2013@gmail.com organization: Electrical Engineering Department, IIT Delhi, New Delhi, India – sequence: 2 givenname: Bhim surname: Singh fullname: Singh, Bhim organization: Electrical Engineering Department, IIT Delhi, New Delhi, India |
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| Cites_doi | 10.1109/TPEL.2012.2226752 10.1109/TIE.2015.2405496 10.1109/TIA.2011.2161738 10.1109/TII.2017.2677462 10.1016/j.conengprac.2018.09.024 10.1109/ACCESS.2018.2841407 10.1109/PEDES.2012.6484407 10.1049/iet-pel.2016.0680 10.1109/IAS.2018.8544719 10.1109/TASC.2018.2799544 10.1109/TII.2016.2518643 10.1109/TIA.2016.2582141 10.1109/TPWRD.2018.2881991 10.1109/TIE.2018.2880673 10.1002/9781118029008 10.1109/TSG.2013.2286575 10.1049/iet-rpg.2017.0566 10.1109/JSYST.2017.2715819 10.1109/TSG.2017.2709550 10.1109/TIE.2017.2686307 10.1109/ICIAS.2014.6869521 10.1109/ICRERA.2017.8191212 10.1109/SGC.2017.8308878 |
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| Copyright | The Institution of Engineering and Technology 2021 The Authors. IET Power Electronics published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | power quality improvement load current distortion power harmonic filters power generation control wind energy conversion system dynamic operating condition distributed power generation point of common coupling voltage regulation modified amplitude adaptive control algorithm electric current control notch filters multiple distributed generation system reactive power flow control modified amplitude adaptive notch filter-based control algorithm bidirectional DC–DC converter DC-link voltage source current harmonics voltage source converter energy sources reference source currents estimation autonomous microgrid modified AANF-based control algorithm fast frequency estimation active power flow control adaptive control steady-state condition active power balance DC-DC power convertors frequency estimation power supply quality active filters load flow control photovoltaic array voltage-source convertors DC-offset rejection MAANF control algorithm reactive power control PCC voltage regulation storage battery voltage control |
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| SubjectTerms | active filters active power balance active power flow control adaptive control autonomous microgrid bidirectional DC–DC converter DC‐DC power convertors DC‐link voltage DC‐offset rejection distributed power generation dynamic operating condition electric current control energy sources fast frequency estimation frequency estimation load current distortion load flow control MAANF control algorithm modified AANF‐based control algorithm modified amplitude adaptive control algorithm modified amplitude adaptive notch filter‐based control algorithm multiple distributed generation system notch filters PCC voltage regulation photovoltaic array point of common coupling voltage regulation power generation control power harmonic filters power quality improvement power supply quality reactive power control reactive power flow control reference source currents estimation Research Article source current harmonics steady‐state condition storage battery voltage control voltage source converter voltage‐source convertors wind energy conversion system |
| Title | Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system |
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