Event-triggered Data-driven Load Frequency Control for Multi-Area Power Systems
This paper presents an event-triggered data-driven load frequency control (LFC) method for multi-area interconnected power systems via model free adaptive control (MFAC), where the dynamic model of power system is assumed to be unknown completely. By introducing the dynamic linearization technique f...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2021-11, p.1-1 |
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| creator | Bu, Xuhui Yu, Wei Cui, Lizhi Hou, Zhongsheng Chen, Zongyao |
| description | This paper presents an event-triggered data-driven load frequency control (LFC) method for multi-area interconnected power systems via model free adaptive control (MFAC), where the dynamic model of power system is assumed to be unknown completely. By introducing the dynamic linearization technique for the unknown power system, an equivalent data relationship model between the area-control-error (ACE) data and the input signal is established. Then, a data-driven load frequency control scheme is developed only relying on the input and output (I/O) data of the power system. Meanwhile, an event-triggered strategy is also proposed in the design of data-driven LFC such that the communication and computation burden of the system can be reduced. Whether the current instant is the transmission moment is determined by judging the proposed triggering condition at each sampling instant. It is showed that the presented event-triggered data-driven LFC method is independent to any model information of the power system and does not need to measure any state signals. Simulation tests are carried out to verify the effectiveness of the presented control method. |
| doi_str_mv | 10.1109/TII.2021.3130415 |
| format | Article |
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By introducing the dynamic linearization technique for the unknown power system, an equivalent data relationship model between the area-control-error (ACE) data and the input signal is established. Then, a data-driven load frequency control scheme is developed only relying on the input and output (I/O) data of the power system. Meanwhile, an event-triggered strategy is also proposed in the design of data-driven LFC such that the communication and computation burden of the system can be reduced. Whether the current instant is the transmission moment is determined by judging the proposed triggering condition at each sampling instant. It is showed that the presented event-triggered data-driven LFC method is independent to any model information of the power system and does not need to measure any state signals. Simulation tests are carried out to verify the effectiveness of the presented control method.</description><identifier>ISSN: 1551-3203</identifier><identifier>EISSN: 1941-0050</identifier><identifier>DOI: 10.1109/TII.2021.3130415</identifier><identifier>CODEN: ITIICH</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation models ; Computational modeling ; datadriven design ; event-triggered strategy ; Frequency control ; Load frequency control ; Load modeling ; Mathematical models ; model free adaptive control ; multi-area power systems ; Power system dynamics ; Power system stability</subject><ispartof>IEEE transactions on industrial informatics, 2021-11, p.1-1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9626584$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9626584$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bu, Xuhui</creatorcontrib><creatorcontrib>Yu, Wei</creatorcontrib><creatorcontrib>Cui, Lizhi</creatorcontrib><creatorcontrib>Hou, Zhongsheng</creatorcontrib><creatorcontrib>Chen, Zongyao</creatorcontrib><title>Event-triggered Data-driven Load Frequency Control for Multi-Area Power Systems</title><title>IEEE transactions on industrial informatics</title><addtitle>TII</addtitle><description>This paper presents an event-triggered data-driven load frequency control (LFC) method for multi-area interconnected power systems via model free adaptive control (MFAC), where the dynamic model of power system is assumed to be unknown completely. By introducing the dynamic linearization technique for the unknown power system, an equivalent data relationship model between the area-control-error (ACE) data and the input signal is established. Then, a data-driven load frequency control scheme is developed only relying on the input and output (I/O) data of the power system. Meanwhile, an event-triggered strategy is also proposed in the design of data-driven LFC such that the communication and computation burden of the system can be reduced. Whether the current instant is the transmission moment is determined by judging the proposed triggering condition at each sampling instant. It is showed that the presented event-triggered data-driven LFC method is independent to any model information of the power system and does not need to measure any state signals. Simulation tests are carried out to verify the effectiveness of the presented control method.</description><subject>Adaptation models</subject><subject>Computational modeling</subject><subject>datadriven design</subject><subject>event-triggered strategy</subject><subject>Frequency control</subject><subject>Load frequency control</subject><subject>Load modeling</subject><subject>Mathematical models</subject><subject>model free adaptive control</subject><subject>multi-area power systems</subject><subject>Power system dynamics</subject><subject>Power system stability</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9icuKAjEQAIMo-LwLXvIDme2eTNydo_hgBUVB7xKcViLjRDvRZf5-PXj2VEWVEEOEBBHyr_1ymaSQYqJRQ4amITqYZ6gADDRfbgwqnYJui24IFwD9DTrviM38SVVUkd35TEyFnNloVcHuleXK20IumO4Pqo61nPoqsi_lybNcP8ro1ITJyq3_I5a7OkS6hr5onWwZaPBmT4wW8_30VzkiOtzYXS3Xh3ycjs1Ppj_ffwYsPqw</recordid><startdate>20211123</startdate><enddate>20211123</enddate><creator>Bu, Xuhui</creator><creator>Yu, Wei</creator><creator>Cui, Lizhi</creator><creator>Hou, Zhongsheng</creator><creator>Chen, Zongyao</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope></search><sort><creationdate>20211123</creationdate><title>Event-triggered Data-driven Load Frequency Control for Multi-Area Power Systems</title><author>Bu, Xuhui ; Yu, Wei ; Cui, Lizhi ; Hou, Zhongsheng ; Chen, Zongyao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_96265843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptation models</topic><topic>Computational modeling</topic><topic>datadriven design</topic><topic>event-triggered strategy</topic><topic>Frequency control</topic><topic>Load frequency control</topic><topic>Load modeling</topic><topic>Mathematical models</topic><topic>model free adaptive control</topic><topic>multi-area power systems</topic><topic>Power system dynamics</topic><topic>Power system stability</topic><toplevel>online_resources</toplevel><creatorcontrib>Bu, Xuhui</creatorcontrib><creatorcontrib>Yu, Wei</creatorcontrib><creatorcontrib>Cui, Lizhi</creatorcontrib><creatorcontrib>Hou, Zhongsheng</creatorcontrib><creatorcontrib>Chen, Zongyao</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><jtitle>IEEE transactions on industrial informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bu, Xuhui</au><au>Yu, Wei</au><au>Cui, Lizhi</au><au>Hou, Zhongsheng</au><au>Chen, Zongyao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Event-triggered Data-driven Load Frequency Control for Multi-Area Power Systems</atitle><jtitle>IEEE transactions on industrial informatics</jtitle><stitle>TII</stitle><date>2021-11-23</date><risdate>2021</risdate><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1551-3203</issn><eissn>1941-0050</eissn><coden>ITIICH</coden><abstract>This paper presents an event-triggered data-driven load frequency control (LFC) method for multi-area interconnected power systems via model free adaptive control (MFAC), where the dynamic model of power system is assumed to be unknown completely. By introducing the dynamic linearization technique for the unknown power system, an equivalent data relationship model between the area-control-error (ACE) data and the input signal is established. Then, a data-driven load frequency control scheme is developed only relying on the input and output (I/O) data of the power system. Meanwhile, an event-triggered strategy is also proposed in the design of data-driven LFC such that the communication and computation burden of the system can be reduced. Whether the current instant is the transmission moment is determined by judging the proposed triggering condition at each sampling instant. It is showed that the presented event-triggered data-driven LFC method is independent to any model information of the power system and does not need to measure any state signals. Simulation tests are carried out to verify the effectiveness of the presented control method.</abstract><pub>IEEE</pub><doi>10.1109/TII.2021.3130415</doi></addata></record> |
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| subjects | Adaptation models Computational modeling datadriven design event-triggered strategy Frequency control Load frequency control Load modeling Mathematical models model free adaptive control multi-area power systems Power system dynamics Power system stability |
| title | Event-triggered Data-driven Load Frequency Control for Multi-Area Power Systems |
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