A Predictive Control Scheme for Real-Time Demand Response Applications
In this work, the focus is placed on the proof of concept of a novel control scheme for demand response. The control architecture considers a uniform representation of non-homogeneous distributed energy resources and allows the participation of virtually all system users in electricity markets. The...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on smart grid 2013-12, Vol.4 (4), p.2049-2060 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2060 |
|---|---|
| container_issue | 4 |
| container_start_page | 2049 |
| container_title | IEEE transactions on smart grid |
| container_volume | 4 |
| creator | Lampropoulos, Ioannis Baghina, Nadina Kling, Wil L. Ribeiro, Paulo F. |
| description | In this work, the focus is placed on the proof of concept of a novel control scheme for demand response. The control architecture considers a uniform representation of non-homogeneous distributed energy resources and allows the participation of virtually all system users in electricity markets. The proposed scheme captures the operational planning, the real-time operations, the verification of the energy and service provision, and the financial settlement. The research involves the experimental verification of the proposed control and communication architecture between the aggregator and a system user in a laboratory environment. Emphasis is given on the real-time operations, whereas the case study is about the domestic freezer appliance. The convergence of the demand response system under load frequency control is investigated through simulation studies and the time response is compared to that of conventional balance suppliers in The Netherlands. |
| doi_str_mv | 10.1109/TSG.2013.2257891 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_6521408</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6521408</ieee_id><sourcerecordid>3932006811</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-3749d4a965e57396c123c9f97204ac65c98f6c26b0c4767d3209c7d6f284e99b3</originalsourceid><addsrcrecordid>eNo9kM1Lw0AQxRdRsNTeBS8Bz6n7vZljqbYKBcXW85JuJpiSZuNuKvjfu6Wlc5l5w3sz8CPkntEpYxSeNuvllFMmppwrUwC7IiMGEnJBNbu-zErckkmMO5pKCKE5jMhiln0ErBo3NL-YzX03BN9ma_eNe8xqH7JPLNt80yT1jPuyq9Ii9r6LmM36vm1cOTRJ3ZGbumwjTs59TL4WL5v5a756X77NZ6vccWBDLoyESpagFSojQDvGhYMaDKeydFo5KGrtuN5SJ402leAUnKl0zQuJAFsxJo-nu33wPweMg935Q-jSS8uMAkUV0zy56Mnlgo8xYG370OzL8GcZtUdgNgGzR2D2DCxFHk6RBhEvdq04k7QQ_zAcZGA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1759505162</pqid></control><display><type>article</type><title>A Predictive Control Scheme for Real-Time Demand Response Applications</title><source>IEEE Electronic Library (IEL)</source><creator>Lampropoulos, Ioannis ; Baghina, Nadina ; Kling, Wil L. ; Ribeiro, Paulo F.</creator><creatorcontrib>Lampropoulos, Ioannis ; Baghina, Nadina ; Kling, Wil L. ; Ribeiro, Paulo F.</creatorcontrib><description>In this work, the focus is placed on the proof of concept of a novel control scheme for demand response. The control architecture considers a uniform representation of non-homogeneous distributed energy resources and allows the participation of virtually all system users in electricity markets. The proposed scheme captures the operational planning, the real-time operations, the verification of the energy and service provision, and the financial settlement. The research involves the experimental verification of the proposed control and communication architecture between the aggregator and a system user in a laboratory environment. Emphasis is given on the real-time operations, whereas the case study is about the domestic freezer appliance. The convergence of the demand response system under load frequency control is investigated through simulation studies and the time response is compared to that of conventional balance suppliers in The Netherlands.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2013.2257891</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Aggregates ; Case studies ; Demand forecasting ; Electric utilities ; Load modeling ; power system control ; predictive control ; Process control ; Real-time systems ; supply and demand ; Temperature control ; Temperature measurement ; Temperature sensors</subject><ispartof>IEEE transactions on smart grid, 2013-12, Vol.4 (4), p.2049-2060</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-3749d4a965e57396c123c9f97204ac65c98f6c26b0c4767d3209c7d6f284e99b3</citedby><cites>FETCH-LOGICAL-c291t-3749d4a965e57396c123c9f97204ac65c98f6c26b0c4767d3209c7d6f284e99b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6521408$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6521408$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lampropoulos, Ioannis</creatorcontrib><creatorcontrib>Baghina, Nadina</creatorcontrib><creatorcontrib>Kling, Wil L.</creatorcontrib><creatorcontrib>Ribeiro, Paulo F.</creatorcontrib><title>A Predictive Control Scheme for Real-Time Demand Response Applications</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>In this work, the focus is placed on the proof of concept of a novel control scheme for demand response. The control architecture considers a uniform representation of non-homogeneous distributed energy resources and allows the participation of virtually all system users in electricity markets. The proposed scheme captures the operational planning, the real-time operations, the verification of the energy and service provision, and the financial settlement. The research involves the experimental verification of the proposed control and communication architecture between the aggregator and a system user in a laboratory environment. Emphasis is given on the real-time operations, whereas the case study is about the domestic freezer appliance. The convergence of the demand response system under load frequency control is investigated through simulation studies and the time response is compared to that of conventional balance suppliers in The Netherlands.</description><subject>Aggregates</subject><subject>Case studies</subject><subject>Demand forecasting</subject><subject>Electric utilities</subject><subject>Load modeling</subject><subject>power system control</subject><subject>predictive control</subject><subject>Process control</subject><subject>Real-time systems</subject><subject>supply and demand</subject><subject>Temperature control</subject><subject>Temperature measurement</subject><subject>Temperature sensors</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1Lw0AQxRdRsNTeBS8Bz6n7vZljqbYKBcXW85JuJpiSZuNuKvjfu6Wlc5l5w3sz8CPkntEpYxSeNuvllFMmppwrUwC7IiMGEnJBNbu-zErckkmMO5pKCKE5jMhiln0ErBo3NL-YzX03BN9ma_eNe8xqH7JPLNt80yT1jPuyq9Ii9r6LmM36vm1cOTRJ3ZGbumwjTs59TL4WL5v5a756X77NZ6vccWBDLoyESpagFSojQDvGhYMaDKeydFo5KGrtuN5SJ402leAUnKl0zQuJAFsxJo-nu33wPweMg935Q-jSS8uMAkUV0zy56Mnlgo8xYG370OzL8GcZtUdgNgGzR2D2DCxFHk6RBhEvdq04k7QQ_zAcZGA</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Lampropoulos, Ioannis</creator><creator>Baghina, Nadina</creator><creator>Kling, Wil L.</creator><creator>Ribeiro, Paulo F.</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>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20131201</creationdate><title>A Predictive Control Scheme for Real-Time Demand Response Applications</title><author>Lampropoulos, Ioannis ; Baghina, Nadina ; Kling, Wil L. ; Ribeiro, Paulo F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-3749d4a965e57396c123c9f97204ac65c98f6c26b0c4767d3209c7d6f284e99b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aggregates</topic><topic>Case studies</topic><topic>Demand forecasting</topic><topic>Electric utilities</topic><topic>Load modeling</topic><topic>power system control</topic><topic>predictive control</topic><topic>Process control</topic><topic>Real-time systems</topic><topic>supply and demand</topic><topic>Temperature control</topic><topic>Temperature measurement</topic><topic>Temperature sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lampropoulos, Ioannis</creatorcontrib><creatorcontrib>Baghina, Nadina</creatorcontrib><creatorcontrib>Kling, Wil L.</creatorcontrib><creatorcontrib>Ribeiro, Paulo F.</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>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><jtitle>IEEE transactions on smart grid</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lampropoulos, Ioannis</au><au>Baghina, Nadina</au><au>Kling, Wil L.</au><au>Ribeiro, Paulo F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Predictive Control Scheme for Real-Time Demand Response Applications</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2013-12-01</date><risdate>2013</risdate><volume>4</volume><issue>4</issue><spage>2049</spage><epage>2060</epage><pages>2049-2060</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>In this work, the focus is placed on the proof of concept of a novel control scheme for demand response. The control architecture considers a uniform representation of non-homogeneous distributed energy resources and allows the participation of virtually all system users in electricity markets. The proposed scheme captures the operational planning, the real-time operations, the verification of the energy and service provision, and the financial settlement. The research involves the experimental verification of the proposed control and communication architecture between the aggregator and a system user in a laboratory environment. Emphasis is given on the real-time operations, whereas the case study is about the domestic freezer appliance. The convergence of the demand response system under load frequency control is investigated through simulation studies and the time response is compared to that of conventional balance suppliers in The Netherlands.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TSG.2013.2257891</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1949-3053 |
| ispartof | IEEE transactions on smart grid, 2013-12, Vol.4 (4), p.2049-2060 |
| issn | 1949-3053 1949-3061 |
| language | eng |
| recordid | cdi_ieee_primary_6521408 |
| source | IEEE Electronic Library (IEL) |
| subjects | Aggregates Case studies Demand forecasting Electric utilities Load modeling power system control predictive control Process control Real-time systems supply and demand Temperature control Temperature measurement Temperature sensors |
| title | A Predictive Control Scheme for Real-Time Demand Response Applications |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T09%3A32%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Predictive%20Control%20Scheme%20for%20Real-Time%20Demand%20Response%20Applications&rft.jtitle=IEEE%20transactions%20on%20smart%20grid&rft.au=Lampropoulos,%20Ioannis&rft.date=2013-12-01&rft.volume=4&rft.issue=4&rft.spage=2049&rft.epage=2060&rft.pages=2049-2060&rft.issn=1949-3053&rft.eissn=1949-3061&rft.coden=ITSGBQ&rft_id=info:doi/10.1109/TSG.2013.2257891&rft_dat=%3Cproquest_RIE%3E3932006811%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1759505162&rft_id=info:pmid/&rft_ieee_id=6521408&rfr_iscdi=true |