STLS Algorithm for Power-Quality Indices Estimation
This paper introduces a new two-stage, self-tuning least-squares digital signal processing algorithm for power-quality (PQ) indices estimation according to the power components and PQ indices definitions given in the IEEE Standard 1459-2000. The algorithm is based on the nonrecursive least error squ...
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| Veröffentlicht in: | IEEE transactions on power delivery 2008-04, Vol.23 (2), p.544-552 |
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| creator | Terzija, V.V. Stanojevic, V. |
| description | This paper introduces a new two-stage, self-tuning least-squares digital signal processing algorithm for power-quality (PQ) indices estimation according to the power components and PQ indices definitions given in the IEEE Standard 1459-2000. The algorithm is based on the nonrecursive least error square technique accompanied with an tuning procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise, convergence, and accuracy. The presented algorithm models typical signal distortions and it can be used for the real-time PQ indices estimation. In order to estimate signal spectra and fundamental frequency, current and voltage signals are processed in the first algorithm stage, whereas in the second stage, the power components and PQ indices are calculated based on the results obtained from the first stage. To demonstrate the efficiency of the proposed algorithm, the results of computer simulated and laboratory tests are presented. |
| doi_str_mv | 10.1109/TPWRD.2008.919312 |
| format | Article |
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The algorithm is based on the nonrecursive least error square technique accompanied with an tuning procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise, convergence, and accuracy. The presented algorithm models typical signal distortions and it can be used for the real-time PQ indices estimation. In order to estimate signal spectra and fundamental frequency, current and voltage signals are processed in the first algorithm stage, whereas in the second stage, the power components and PQ indices are calculated based on the results obtained from the first stage. To demonstrate the efficiency of the proposed algorithm, the results of computer simulated and laboratory tests are presented.</description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/TPWRD.2008.919312</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Adaptive algorithms ; Algorithms ; Applied sciences ; Computer simulation ; Computing time ; Convergence ; Digital signal processing ; Distortion measurement ; Electric potential ; Electrical engineering. Electrical power engineering ; Electrical machines ; Electrical power engineering ; Exact sciences and technology ; Frequency estimation ; harmonics ; IEEE standard 1459-2000 ; Mathematical models ; Noise measurement ; Operation. Load control. Reliability ; parameter estimation ; power components ; Power electronics, power supplies ; Power networks and lines ; Power quality ; power quality (PQ) ; Regulation and control ; Signal processing ; Signal processing algorithms ; Tuning ; Voltage</subject><ispartof>IEEE transactions on power delivery, 2008-04, Vol.23 (2), p.544-552</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-506b4f61ecf394c97d501b985244d68f4302a2304b7dffd0fdb635f85e4106ca3</citedby><cites>FETCH-LOGICAL-c417t-506b4f61ecf394c97d501b985244d68f4302a2304b7dffd0fdb635f85e4106ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4472165$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4472165$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20384883$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Terzija, V.V.</creatorcontrib><creatorcontrib>Stanojevic, V.</creatorcontrib><title>STLS Algorithm for Power-Quality Indices Estimation</title><title>IEEE transactions on power delivery</title><addtitle>TPWRD</addtitle><description>This paper introduces a new two-stage, self-tuning least-squares digital signal processing algorithm for power-quality (PQ) indices estimation according to the power components and PQ indices definitions given in the IEEE Standard 1459-2000. The algorithm is based on the nonrecursive least error square technique accompanied with an tuning procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise, convergence, and accuracy. The presented algorithm models typical signal distortions and it can be used for the real-time PQ indices estimation. In order to estimate signal spectra and fundamental frequency, current and voltage signals are processed in the first algorithm stage, whereas in the second stage, the power components and PQ indices are calculated based on the results obtained from the first stage. To demonstrate the efficiency of the proposed algorithm, the results of computer simulated and laboratory tests are presented.</description><subject>Adaptive algorithms</subject><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Computing time</subject><subject>Convergence</subject><subject>Digital signal processing</subject><subject>Distortion measurement</subject><subject>Electric potential</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical machines</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Frequency estimation</subject><subject>harmonics</subject><subject>IEEE standard 1459-2000</subject><subject>Mathematical models</subject><subject>Noise measurement</subject><subject>Operation. Load control. Reliability</subject><subject>parameter estimation</subject><subject>power components</subject><subject>Power electronics, power supplies</subject><subject>Power networks and lines</subject><subject>Power quality</subject><subject>power quality (PQ)</subject><subject>Regulation and control</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Tuning</subject><subject>Voltage</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0TtPwzAQB3ALgUR5fADEEiEBU8r5kdgeUXlVqkSBIkbLcWxIlSbFToX67XEJYmCA6Qb_7nS-P0JHGIYYg7yYTV8er4YEQAwllhSTLTSIlaeMgNhGAxAiS4XkfBfthTAHAAYSBog-zSZPyWX92vqqe1skrvXJtP2wPn1Y6brq1sm4KStjQ3Idumqhu6ptDtCO03Wwh991Hz3fXM9Gd-nk_nY8upykhmHepRnkBXM5tsZRyYzkZQa4kCIjjJW5cIwC0YQCK3jpXAmuLHKaOZFZhiE3mu6j837u0rfvKxs6taiCsXWtG9uugpJAc5ZJIv-VgsdlBCYkyrM_JWWMc4pZhCe_4Lxd-Sb-V4mcAuB4wIhwj4xvQ_DWqaWPR_JrhUFtclFfuahNLqrPJfacfg_Wwejaed2YKvw0EqCCCUGjO-5dZa39eY7rEZxn9BN3hZNZ</recordid><startdate>20080401</startdate><enddate>20080401</enddate><creator>Terzija, V.V.</creator><creator>Stanojevic, V.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>20080401</creationdate><title>STLS Algorithm for Power-Quality Indices Estimation</title><author>Terzija, V.V. ; Stanojevic, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-506b4f61ecf394c97d501b985244d68f4302a2304b7dffd0fdb635f85e4106ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adaptive algorithms</topic><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Computer simulation</topic><topic>Computing time</topic><topic>Convergence</topic><topic>Digital signal processing</topic><topic>Distortion measurement</topic><topic>Electric potential</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical machines</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Frequency estimation</topic><topic>harmonics</topic><topic>IEEE standard 1459-2000</topic><topic>Mathematical models</topic><topic>Noise measurement</topic><topic>Operation. Load control. Reliability</topic><topic>parameter estimation</topic><topic>power components</topic><topic>Power electronics, power supplies</topic><topic>Power networks and lines</topic><topic>Power quality</topic><topic>power quality (PQ)</topic><topic>Regulation and control</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Tuning</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Terzija, V.V.</creatorcontrib><creatorcontrib>Stanojevic, V.</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>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Terzija, V.V.</au><au>Stanojevic, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>STLS Algorithm for Power-Quality Indices Estimation</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><date>2008-04-01</date><risdate>2008</risdate><volume>23</volume><issue>2</issue><spage>544</spage><epage>552</epage><pages>544-552</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>This paper introduces a new two-stage, self-tuning least-squares digital signal processing algorithm for power-quality (PQ) indices estimation according to the power components and PQ indices definitions given in the IEEE Standard 1459-2000. The algorithm is based on the nonrecursive least error square technique accompanied with an tuning procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise, convergence, and accuracy. The presented algorithm models typical signal distortions and it can be used for the real-time PQ indices estimation. In order to estimate signal spectra and fundamental frequency, current and voltage signals are processed in the first algorithm stage, whereas in the second stage, the power components and PQ indices are calculated based on the results obtained from the first stage. To demonstrate the efficiency of the proposed algorithm, the results of computer simulated and laboratory tests are presented.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TPWRD.2008.919312</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 0885-8977 |
| ispartof | IEEE transactions on power delivery, 2008-04, Vol.23 (2), p.544-552 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive algorithms Algorithms Applied sciences Computer simulation Computing time Convergence Digital signal processing Distortion measurement Electric potential Electrical engineering. Electrical power engineering Electrical machines Electrical power engineering Exact sciences and technology Frequency estimation harmonics IEEE standard 1459-2000 Mathematical models Noise measurement Operation. Load control. Reliability parameter estimation power components Power electronics, power supplies Power networks and lines Power quality power quality (PQ) Regulation and control Signal processing Signal processing algorithms Tuning Voltage |
| title | STLS Algorithm for Power-Quality Indices Estimation |
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