A Normalized Adaptive Filter for Enhanced Optimal Operation of Grid-Interfaced PV System
This article presents a grid-connected single-stage photovoltaic (PV) system using an adaptive normalized notch filter (ANNF). An unknown time-varying fundamental frequency is precisely estimated from a normalized notch filter and consequently, the fundamental load component is extracted using this...
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| Veröffentlicht in: | IEEE transactions on industry applications 2021-03, Vol.57 (2), p.1715-1724 |
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| creator | Srinivas, Vedantham Lakshmi Kumar, Shailendra Singh, Bhim Mishra, Sukumar |
| description | This article presents a grid-connected single-stage photovoltaic (PV) system using an adaptive normalized notch filter (ANNF). An unknown time-varying fundamental frequency is precisely estimated from a normalized notch filter and consequently, the fundamental load component is extracted using this algorithm. The convergence of the algorithm is independent of both amplitude and the frequency of the fundamental component, and therefore, this algorithm is robust to these changes in the load current. The adaptive estimation of fundamental load current with perturbations on load/grid side system is well analyzed. The ANNF based control strategy is not only efficient in fundamental extraction, however, it also achieves the objectives of supplying real power to the grid, grid currents balancing, and power factor correction. Moreover, this algorithm is robust to harmonic/ distorted/ unbalanced grid voltages caused at far radial ends in the weak distribution network. Elaborated simulation results are presented to show the effectiveness of the strategy. A prototype is developed to validate this control strategy at various perturbations. Under all operating conditions, test results are found satisfactory. |
| doi_str_mv | 10.1109/TIA.2020.3046171 |
| format | Article |
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An unknown time-varying fundamental frequency is precisely estimated from a normalized notch filter and consequently, the fundamental load component is extracted using this algorithm. The convergence of the algorithm is independent of both amplitude and the frequency of the fundamental component, and therefore, this algorithm is robust to these changes in the load current. The adaptive estimation of fundamental load current with perturbations on load/grid side system is well analyzed. The ANNF based control strategy is not only efficient in fundamental extraction, however, it also achieves the objectives of supplying real power to the grid, grid currents balancing, and power factor correction. Moreover, this algorithm is robust to harmonic/ distorted/ unbalanced grid voltages caused at far radial ends in the weak distribution network. Elaborated simulation results are presented to show the effectiveness of the strategy. A prototype is developed to validate this control strategy at various perturbations. Under all operating conditions, test results are found satisfactory.</description><identifier>ISSN: 0093-9994</identifier><identifier>EISSN: 1939-9367</identifier><identifier>DOI: 10.1109/TIA.2020.3046171</identifier><identifier>CODEN: ITIACR</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptive filter ; Adaptive filters ; Adaptive systems ; Algorithms ; Estimation ; Frequency estimation ; Harmonic analysis ; Heuristic algorithms ; normalized frequency estimation ; Notch filters ; Perturbation ; Photovoltaic cells ; Power factor ; Power harmonic filters ; power quality ; Resonant frequencies ; Robustness ; voltage source converter and distribution grids</subject><ispartof>IEEE transactions on industry applications, 2021-03, Vol.57 (2), p.1715-1724</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-e73cc02e602b8bbb4eead0384962052b2fd48da39e0d48b62d4dd6604f7439383</citedby><cites>FETCH-LOGICAL-c291t-e73cc02e602b8bbb4eead0384962052b2fd48da39e0d48b62d4dd6604f7439383</cites><orcidid>0000-0003-4759-7484 ; 0000-0002-6376-8602 ; 0000-0002-0132-0538 ; 0000-0002-5642-0835</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9300207$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9300207$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Srinivas, Vedantham Lakshmi</creatorcontrib><creatorcontrib>Kumar, Shailendra</creatorcontrib><creatorcontrib>Singh, Bhim</creatorcontrib><creatorcontrib>Mishra, Sukumar</creatorcontrib><title>A Normalized Adaptive Filter for Enhanced Optimal Operation of Grid-Interfaced PV System</title><title>IEEE transactions on industry applications</title><addtitle>TIA</addtitle><description>This article presents a grid-connected single-stage photovoltaic (PV) system using an adaptive normalized notch filter (ANNF). An unknown time-varying fundamental frequency is precisely estimated from a normalized notch filter and consequently, the fundamental load component is extracted using this algorithm. The convergence of the algorithm is independent of both amplitude and the frequency of the fundamental component, and therefore, this algorithm is robust to these changes in the load current. The adaptive estimation of fundamental load current with perturbations on load/grid side system is well analyzed. The ANNF based control strategy is not only efficient in fundamental extraction, however, it also achieves the objectives of supplying real power to the grid, grid currents balancing, and power factor correction. Moreover, this algorithm is robust to harmonic/ distorted/ unbalanced grid voltages caused at far radial ends in the weak distribution network. Elaborated simulation results are presented to show the effectiveness of the strategy. A prototype is developed to validate this control strategy at various perturbations. Under all operating conditions, test results are found satisfactory.</description><subject>Adaptive filter</subject><subject>Adaptive filters</subject><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Estimation</subject><subject>Frequency estimation</subject><subject>Harmonic analysis</subject><subject>Heuristic algorithms</subject><subject>normalized frequency estimation</subject><subject>Notch filters</subject><subject>Perturbation</subject><subject>Photovoltaic cells</subject><subject>Power factor</subject><subject>Power harmonic filters</subject><subject>power quality</subject><subject>Resonant frequencies</subject><subject>Robustness</subject><subject>voltage source converter and distribution grids</subject><issn>0093-9994</issn><issn>1939-9367</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1Lw0AQxRdRsFbvgpcFz6mzH9lkj6G0tVCsYBVvyyY7wZQ2qbupUP96t7R4moH3e2-YR8g9gxFjoJ9W82LEgcNIgFQsYxdkwLTQiRYquyQDAC0SrbW8JjchrAGYTJkckM-CvnR-azfNLzpaOLvrmx-k02bTo6d15-mk_bJtFcVllCIYJ3rbN11Lu5rOfOOSeRvh2h6h1w_6dgg9bm_JVW03Ae_Oc0jep5PV-DlZLGfzcbFIKq5Zn2Amqgo4KuBlXpalRLQORC614pDyktdO5s4KjRCXUnEnnVMKZJ1JoUUuhuTxlLvz3fceQ2_W3d638aThKaQZ5FpApOBEVb4LwWNtdj4-4w-GgTn2Z2J_5tifOfcXLQ8nS4OI_3gMi1Am_gBFEmqw</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Srinivas, Vedantham Lakshmi</creator><creator>Kumar, Shailendra</creator><creator>Singh, Bhim</creator><creator>Mishra, Sukumar</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-4759-7484</orcidid><orcidid>https://orcid.org/0000-0002-6376-8602</orcidid><orcidid>https://orcid.org/0000-0002-0132-0538</orcidid><orcidid>https://orcid.org/0000-0002-5642-0835</orcidid></search><sort><creationdate>202103</creationdate><title>A Normalized Adaptive Filter for Enhanced Optimal Operation of Grid-Interfaced PV System</title><author>Srinivas, Vedantham Lakshmi ; Kumar, Shailendra ; Singh, Bhim ; Mishra, Sukumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-e73cc02e602b8bbb4eead0384962052b2fd48da39e0d48b62d4dd6604f7439383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptive filter</topic><topic>Adaptive filters</topic><topic>Adaptive systems</topic><topic>Algorithms</topic><topic>Estimation</topic><topic>Frequency estimation</topic><topic>Harmonic analysis</topic><topic>Heuristic algorithms</topic><topic>normalized frequency estimation</topic><topic>Notch filters</topic><topic>Perturbation</topic><topic>Photovoltaic cells</topic><topic>Power factor</topic><topic>Power harmonic filters</topic><topic>power quality</topic><topic>Resonant frequencies</topic><topic>Robustness</topic><topic>voltage source converter and distribution grids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Srinivas, Vedantham Lakshmi</creatorcontrib><creatorcontrib>Kumar, Shailendra</creatorcontrib><creatorcontrib>Singh, Bhim</creatorcontrib><creatorcontrib>Mishra, Sukumar</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on industry applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Srinivas, Vedantham Lakshmi</au><au>Kumar, Shailendra</au><au>Singh, Bhim</au><au>Mishra, Sukumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Normalized Adaptive Filter for Enhanced Optimal Operation of Grid-Interfaced PV System</atitle><jtitle>IEEE transactions on industry applications</jtitle><stitle>TIA</stitle><date>2021-03</date><risdate>2021</risdate><volume>57</volume><issue>2</issue><spage>1715</spage><epage>1724</epage><pages>1715-1724</pages><issn>0093-9994</issn><eissn>1939-9367</eissn><coden>ITIACR</coden><abstract>This article presents a grid-connected single-stage photovoltaic (PV) system using an adaptive normalized notch filter (ANNF). An unknown time-varying fundamental frequency is precisely estimated from a normalized notch filter and consequently, the fundamental load component is extracted using this algorithm. The convergence of the algorithm is independent of both amplitude and the frequency of the fundamental component, and therefore, this algorithm is robust to these changes in the load current. The adaptive estimation of fundamental load current with perturbations on load/grid side system is well analyzed. The ANNF based control strategy is not only efficient in fundamental extraction, however, it also achieves the objectives of supplying real power to the grid, grid currents balancing, and power factor correction. Moreover, this algorithm is robust to harmonic/ distorted/ unbalanced grid voltages caused at far radial ends in the weak distribution network. Elaborated simulation results are presented to show the effectiveness of the strategy. A prototype is developed to validate this control strategy at various perturbations. Under all operating conditions, test results are found satisfactory.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIA.2020.3046171</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4759-7484</orcidid><orcidid>https://orcid.org/0000-0002-6376-8602</orcidid><orcidid>https://orcid.org/0000-0002-0132-0538</orcidid><orcidid>https://orcid.org/0000-0002-5642-0835</orcidid></addata></record> |
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| subjects | Adaptive filter Adaptive filters Adaptive systems Algorithms Estimation Frequency estimation Harmonic analysis Heuristic algorithms normalized frequency estimation Notch filters Perturbation Photovoltaic cells Power factor Power harmonic filters power quality Resonant frequencies Robustness voltage source converter and distribution grids |
| title | A Normalized Adaptive Filter for Enhanced Optimal Operation of Grid-Interfaced PV System |
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