Estimation of power quality using Complex H∞ Filter
The present study proposes a novel method of tracking the time varying frequency and amplitude of a distorted power frequency signal using a Complex H ∞ Filter. A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of...
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| creator | Sahoo, H K Dash, P K Rath, N P Kant, R |
| description | The present study proposes a novel method of tracking the time varying frequency and amplitude of a distorted power frequency signal using a Complex H ∞ Filter. A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of different harmonics are also estimated which shows the robustness of the filter. The performance of Complex H ∞ Filter has been compared with those of ECKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation with three states is used for estimation of amplitude and frequency in presence of white noise. Results of simulation demonstrate that under identical conditions, the performance of Complex H ∞ Filter is better compared to ECKF. |
| doi_str_mv | 10.1109/ICPWS.2009.5442696 |
| format | Conference Proceeding |
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A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of different harmonics are also estimated which shows the robustness of the filter. The performance of Complex H ∞ Filter has been compared with those of ECKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation with three states is used for estimation of amplitude and frequency in presence of white noise. 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A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of different harmonics are also estimated which shows the robustness of the filter. The performance of Complex H ∞ Filter has been compared with those of ECKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation with three states is used for estimation of amplitude and frequency in presence of white noise. Results of simulation demonstrate that under identical conditions, the performance of Complex H ∞ Filter is better compared to ECKF.</description><subject>Additive White Gaussian Noise</subject><subject>Amplitude estimation</subject><subject>Complex H ∞ filter</subject><subject>Distorted signals</subject><subject>Distortion measurement</subject><subject>Frequency estimation</subject><subject>Power harmonic filters</subject><subject>Power measurement</subject><subject>Power quality</subject><subject>Power system harmonics</subject><subject>Power system measurements</subject><subject>Power system simulation</subject><subject>Robustness</subject><isbn>9781424443307</isbn><isbn>142444330X</isbn><isbn>9781424443314</isbn><isbn>1424443318</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVT-FKwzAYjMhAnX0B_ZMXaP2SfEman1I2NxgoOPDnSNNUIt1a2w7dG_gUPtyexIj74_05jjuOO0JuGGSMgblbFk8vzxkHMJlE5MqoM5IYnTPkiCgEw_N_GvSEXP3GDXCh5AVJhuENIlByBHVJ5GwYw9aOod3RtqZd--F7-r63TRgPdD-E3Sst2m3X-E-6OH5903loRt9fk0ltm8EnJ56S9Xy2Lhbp6vFhWdyvUheXpXmpK6ZdpdAxqIU16BzTVkbPoGRCR_IKOKBRZe40YyVaK7SWopLW5GJKbv9qg_d-0_VxaH_YnI6LHzEzSIk</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Sahoo, H K</creator><creator>Dash, P K</creator><creator>Rath, N P</creator><creator>Kant, R</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Estimation of power quality using Complex H∞ Filter</title><author>Sahoo, H K ; Dash, P K ; Rath, N P ; Kant, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c696-8b7d17cd64c10f3a94cc17a5696945137694e6020496b8c711b4aa37753d5a983</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Additive White Gaussian Noise</topic><topic>Amplitude estimation</topic><topic>Complex H ∞ filter</topic><topic>Distorted signals</topic><topic>Distortion measurement</topic><topic>Frequency estimation</topic><topic>Power harmonic filters</topic><topic>Power measurement</topic><topic>Power quality</topic><topic>Power system harmonics</topic><topic>Power system measurements</topic><topic>Power system simulation</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Sahoo, H K</creatorcontrib><creatorcontrib>Dash, P K</creatorcontrib><creatorcontrib>Rath, N P</creatorcontrib><creatorcontrib>Kant, R</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sahoo, H K</au><au>Dash, P K</au><au>Rath, N P</au><au>Kant, R</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimation of power quality using Complex H∞ Filter</atitle><btitle>2009 International Conference on Power Systems</btitle><stitle>ICPWS</stitle><date>2009-12</date><risdate>2009</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424443307</isbn><isbn>142444330X</isbn><eisbn>9781424443314</eisbn><eisbn>1424443318</eisbn><abstract>The present study proposes a novel method of tracking the time varying frequency and amplitude of a distorted power frequency signal using a Complex H ∞ Filter. A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of different harmonics are also estimated which shows the robustness of the filter. The performance of Complex H ∞ Filter has been compared with those of ECKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation with three states is used for estimation of amplitude and frequency in presence of white noise. Results of simulation demonstrate that under identical conditions, the performance of Complex H ∞ Filter is better compared to ECKF.</abstract><pub>IEEE</pub><doi>10.1109/ICPWS.2009.5442696</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive White Gaussian Noise Amplitude estimation Complex H ∞ filter Distorted signals Distortion measurement Frequency estimation Power harmonic filters Power measurement Power quality Power system harmonics Power system measurements Power system simulation Robustness |
| title | Estimation of power quality using Complex H∞ Filter |
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