Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid
With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently; thus, management and control of the smart grid pose great challenges on traditional cent...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on smart grid 2017-07, Vol.8 (4), p.1568-1579 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1579 |
|---|---|
| container_issue | 4 |
| container_start_page | 1568 |
| container_title | IEEE transactions on smart grid |
| container_volume | 8 |
| creator | Xu, Yinliang Yang, Zaiyue Gu, Wei Li, Ming Deng, Zicong |
| description | With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently; thus, management and control of the smart grid pose great challenges on traditional centralized control strategies. This paper proposes a distributed algorithm for energy management in a power grid, while dynamically minimizing the adjustment costs. The objective function is designed to optimize the overall social welfare considering generation suppliers and load users simultaneously. The proposed algorithm integrates consensus algorithm and optimal control algorithm, which requires only information exchanging among neighboring units and enables the sharing of computational and communication burden among distributed local controllers. It is robust to communication failures and adaptive to topology changes. Simulation results of the IEEE 9-bus, 39-bus systems, and a 200-unit system demonstrate the effectiveness of the proposed algorithm and indicate the promising applications to practical power systems. |
| doi_str_mv | 10.1109/TSG.2015.2491923 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TSG_2015_2491923</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7317579</ieee_id><sourcerecordid>1912758641</sourcerecordid><originalsourceid>FETCH-LOGICAL-c427t-ad28915c5d241ac1f5a6eec768fea27aea8cea863ac20f1340a08029fd15e09c3</originalsourceid><addsrcrecordid>eNo9kEFrwzAMhc3YYGXrfbCLYed0lh0n8XHrum7QUWizs3EdpaSkSWc7h_77ubRUICTEexL6CHkCNgFg6rVczyecgZzwVIHi4oaMQKUqESyD22svxT0Ze79jMYQQGVcjUq76zeADXaFpk7LZI_1ofHDNZghY0eUhNHvT0mnfBde39N34OJ116LZH-mM6s8U9doE2HTV0vTcu0LlrqkdyV5vW4_hSH8jv56ycfiWL5fx7-rZIbMrzkJiKFwqklRVPwViopckQbZ4VNRqeGzSFjZkJYzmrQaTMsIJxVVcgkSkrHsjLee_B9X8D-qB3_eC6eFKDAp7LIkshqthZZV3vvcNaH1z8yh01MH3CpyM-fcKnL_ii5flsaRDxKs8F5DJX4h-3ZWrC</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1912758641</pqid></control><display><type>article</type><title>Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid</title><source>IEEE Electronic Library (IEL)</source><creator>Xu, Yinliang ; Yang, Zaiyue ; Gu, Wei ; Li, Ming ; Deng, Zicong</creator><creatorcontrib>Xu, Yinliang ; Yang, Zaiyue ; Gu, Wei ; Li, Ming ; Deng, Zicong</creatorcontrib><description>With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently; thus, management and control of the smart grid pose great challenges on traditional centralized control strategies. This paper proposes a distributed algorithm for energy management in a power grid, while dynamically minimizing the adjustment costs. The objective function is designed to optimize the overall social welfare considering generation suppliers and load users simultaneously. The proposed algorithm integrates consensus algorithm and optimal control algorithm, which requires only information exchanging among neighboring units and enables the sharing of computational and communication burden among distributed local controllers. It is robust to communication failures and adaptive to topology changes. Simulation results of the IEEE 9-bus, 39-bus systems, and a 200-unit system demonstrate the effectiveness of the proposed algorithm and indicate the promising applications to practical power systems.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2015.2491923</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptive systems ; Algorithms ; Buses (vehicles) ; Communication networks ; Computer simulation ; consensus algorithm ; Control theory ; Distributed algorithm ; Dynamical systems ; Economic models ; Electric power distribution ; Electrical loads ; Energy management ; Exchanging ; Geographical distribution ; Heuristic algorithms ; Load distribution (forces) ; Optimal control ; Real time ; Real-time systems ; Robust control ; Robustness (mathematics) ; Smart grid ; Smart grids ; Stability ; System effectiveness ; Topology</subject><ispartof>IEEE transactions on smart grid, 2017-07, Vol.8 (4), p.1568-1579</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-ad28915c5d241ac1f5a6eec768fea27aea8cea863ac20f1340a08029fd15e09c3</citedby><cites>FETCH-LOGICAL-c427t-ad28915c5d241ac1f5a6eec768fea27aea8cea863ac20f1340a08029fd15e09c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7317579$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,782,786,798,27931,27932,54765</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7317579$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xu, Yinliang</creatorcontrib><creatorcontrib>Yang, Zaiyue</creatorcontrib><creatorcontrib>Gu, Wei</creatorcontrib><creatorcontrib>Li, Ming</creatorcontrib><creatorcontrib>Deng, Zicong</creatorcontrib><title>Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently; thus, management and control of the smart grid pose great challenges on traditional centralized control strategies. This paper proposes a distributed algorithm for energy management in a power grid, while dynamically minimizing the adjustment costs. The objective function is designed to optimize the overall social welfare considering generation suppliers and load users simultaneously. The proposed algorithm integrates consensus algorithm and optimal control algorithm, which requires only information exchanging among neighboring units and enables the sharing of computational and communication burden among distributed local controllers. It is robust to communication failures and adaptive to topology changes. Simulation results of the IEEE 9-bus, 39-bus systems, and a 200-unit system demonstrate the effectiveness of the proposed algorithm and indicate the promising applications to practical power systems.</description><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Buses (vehicles)</subject><subject>Communication networks</subject><subject>Computer simulation</subject><subject>consensus algorithm</subject><subject>Control theory</subject><subject>Distributed algorithm</subject><subject>Dynamical systems</subject><subject>Economic models</subject><subject>Electric power distribution</subject><subject>Electrical loads</subject><subject>Energy management</subject><subject>Exchanging</subject><subject>Geographical distribution</subject><subject>Heuristic algorithms</subject><subject>Load distribution (forces)</subject><subject>Optimal control</subject><subject>Real time</subject><subject>Real-time systems</subject><subject>Robust control</subject><subject>Robustness (mathematics)</subject><subject>Smart grid</subject><subject>Smart grids</subject><subject>Stability</subject><subject>System effectiveness</subject><subject>Topology</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFrwzAMhc3YYGXrfbCLYed0lh0n8XHrum7QUWizs3EdpaSkSWc7h_77ubRUICTEexL6CHkCNgFg6rVczyecgZzwVIHi4oaMQKUqESyD22svxT0Ze79jMYQQGVcjUq76zeADXaFpk7LZI_1ofHDNZghY0eUhNHvT0mnfBde39N34OJ116LZH-mM6s8U9doE2HTV0vTcu0LlrqkdyV5vW4_hSH8jv56ycfiWL5fx7-rZIbMrzkJiKFwqklRVPwViopckQbZ4VNRqeGzSFjZkJYzmrQaTMsIJxVVcgkSkrHsjLee_B9X8D-qB3_eC6eFKDAp7LIkshqthZZV3vvcNaH1z8yh01MH3CpyM-fcKnL_ii5flsaRDxKs8F5DJX4h-3ZWrC</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Xu, Yinliang</creator><creator>Yang, Zaiyue</creator><creator>Gu, Wei</creator><creator>Li, Ming</creator><creator>Deng, Zicong</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>20170701</creationdate><title>Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid</title><author>Xu, Yinliang ; Yang, Zaiyue ; Gu, Wei ; Li, Ming ; Deng, Zicong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-ad28915c5d241ac1f5a6eec768fea27aea8cea863ac20f1340a08029fd15e09c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adaptive systems</topic><topic>Algorithms</topic><topic>Buses (vehicles)</topic><topic>Communication networks</topic><topic>Computer simulation</topic><topic>consensus algorithm</topic><topic>Control theory</topic><topic>Distributed algorithm</topic><topic>Dynamical systems</topic><topic>Economic models</topic><topic>Electric power distribution</topic><topic>Electrical loads</topic><topic>Energy management</topic><topic>Exchanging</topic><topic>Geographical distribution</topic><topic>Heuristic algorithms</topic><topic>Load distribution (forces)</topic><topic>Optimal control</topic><topic>Real time</topic><topic>Real-time systems</topic><topic>Robust control</topic><topic>Robustness (mathematics)</topic><topic>Smart grid</topic><topic>Smart grids</topic><topic>Stability</topic><topic>System effectiveness</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Yinliang</creatorcontrib><creatorcontrib>Yang, Zaiyue</creatorcontrib><creatorcontrib>Gu, Wei</creatorcontrib><creatorcontrib>Li, Ming</creatorcontrib><creatorcontrib>Deng, Zicong</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>Xu, Yinliang</au><au>Yang, Zaiyue</au><au>Gu, Wei</au><au>Li, Ming</au><au>Deng, Zicong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2017-07-01</date><risdate>2017</risdate><volume>8</volume><issue>4</issue><spage>1568</spage><epage>1579</epage><pages>1568-1579</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>With the integration of distributed generations and controllable loads, the power grid becomes geographically distributed with a time-varying topology. The operation conditions may change rapidly and frequently; thus, management and control of the smart grid pose great challenges on traditional centralized control strategies. This paper proposes a distributed algorithm for energy management in a power grid, while dynamically minimizing the adjustment costs. The objective function is designed to optimize the overall social welfare considering generation suppliers and load users simultaneously. The proposed algorithm integrates consensus algorithm and optimal control algorithm, which requires only information exchanging among neighboring units and enables the sharing of computational and communication burden among distributed local controllers. It is robust to communication failures and adaptive to topology changes. Simulation results of the IEEE 9-bus, 39-bus systems, and a 200-unit system demonstrate the effectiveness of the proposed algorithm and indicate the promising applications to practical power systems.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TSG.2015.2491923</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1949-3053 |
| ispartof | IEEE transactions on smart grid, 2017-07, Vol.8 (4), p.1568-1579 |
| issn | 1949-3053 1949-3061 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TSG_2015_2491923 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptive systems Algorithms Buses (vehicles) Communication networks Computer simulation consensus algorithm Control theory Distributed algorithm Dynamical systems Economic models Electric power distribution Electrical loads Energy management Exchanging Geographical distribution Heuristic algorithms Load distribution (forces) Optimal control Real time Real-time systems Robust control Robustness (mathematics) Smart grid Smart grids Stability System effectiveness Topology |
| title | Robust Real-Time Distributed Optimal Control Based Energy Management in a Smart Grid |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T07%3A33%3A36IST&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=Robust%20Real-Time%20Distributed%20Optimal%20Control%20Based%20Energy%20Management%20in%20a%20Smart%20Grid&rft.jtitle=IEEE%20transactions%20on%20smart%20grid&rft.au=Xu,%20Yinliang&rft.date=2017-07-01&rft.volume=8&rft.issue=4&rft.spage=1568&rft.epage=1579&rft.pages=1568-1579&rft.issn=1949-3053&rft.eissn=1949-3061&rft.coden=ITSGBQ&rft_id=info:doi/10.1109/TSG.2015.2491923&rft_dat=%3Cproquest_RIE%3E1912758641%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=1912758641&rft_id=info:pmid/&rft_ieee_id=7317579&rfr_iscdi=true |