Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties
SUMMARY This paper discusses chaotic properties of fluctuating photovoltaic generation (PV) power and reveals that PV power can be decomposed into a chaotic component having shorter periods and a long‐term fluctuation component. The first step is to decompose the PV power into three components conta...
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| Veröffentlicht in: | Electrical engineering in Japan 2017-12, Vol.201 (4), p.26-33 |
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| container_title | Electrical engineering in Japan |
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| creator | TAKAHASHI, AKIKO YAMAGATA, AKIHIRO IMAI, JUN FUNABIKI, SHIGEYUKI |
| description | SUMMARY
This paper discusses chaotic properties of fluctuating photovoltaic generation (PV) power and reveals that PV power can be decomposed into a chaotic component having shorter periods and a long‐term fluctuation component. The first step is to decompose the PV power into three components containing a long‐term fluctuation component, a load frequency control (LFC) component, and an irregular fluctuation component from normalized PV power data by using periodic regression analysis. The second step is to analyze the long‐term fluctuation component and the LFC component using autocorrelation function. The third step is to clarify the chaotic properties of the LFC component using Lyapunov spectrum analysis. Finally, the simulation of predicting the LFC component and the normalized PV power data is carried out. This simulation clarifies that the LFC component has chaotic properties. |
| doi_str_mv | 10.1002/eej.23010 |
| format | Article |
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This paper discusses chaotic properties of fluctuating photovoltaic generation (PV) power and reveals that PV power can be decomposed into a chaotic component having shorter periods and a long‐term fluctuation component. The first step is to decompose the PV power into three components containing a long‐term fluctuation component, a load frequency control (LFC) component, and an irregular fluctuation component from normalized PV power data by using periodic regression analysis. The second step is to analyze the long‐term fluctuation component and the LFC component using autocorrelation function. The third step is to clarify the chaotic properties of the LFC component using Lyapunov spectrum analysis. Finally, the simulation of predicting the LFC component and the normalized PV power data is carried out. This simulation clarifies that the LFC component has chaotic properties.</description><identifier>ISSN: 0424-7760</identifier><identifier>EISSN: 1520-6416</identifier><identifier>DOI: 10.1002/eej.23010</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>chaos ; Chaos theory ; Decomposition ; Frequencies ; Frequency control ; nonlinear prediction ; Photovoltaic cells ; photovoltaic generation ; Properties (attributes) ; Regression analysis ; Solar cells ; Spectrum analysis ; Variation</subject><ispartof>Electrical engineering in Japan, 2017-12, Vol.201 (4), p.26-33</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><rights>Copyright © 2017 by Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3230-b93be5505cfeaecad8c3aba84f457912bc73e094f4088337bb4aa474eea649d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Feej.23010$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Feej.23010$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>TAKAHASHI, AKIKO</creatorcontrib><creatorcontrib>YAMAGATA, AKIHIRO</creatorcontrib><creatorcontrib>IMAI, JUN</creatorcontrib><creatorcontrib>FUNABIKI, SHIGEYUKI</creatorcontrib><title>Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties</title><title>Electrical engineering in Japan</title><description>SUMMARY
This paper discusses chaotic properties of fluctuating photovoltaic generation (PV) power and reveals that PV power can be decomposed into a chaotic component having shorter periods and a long‐term fluctuation component. The first step is to decompose the PV power into three components containing a long‐term fluctuation component, a load frequency control (LFC) component, and an irregular fluctuation component from normalized PV power data by using periodic regression analysis. The second step is to analyze the long‐term fluctuation component and the LFC component using autocorrelation function. The third step is to clarify the chaotic properties of the LFC component using Lyapunov spectrum analysis. Finally, the simulation of predicting the LFC component and the normalized PV power data is carried out. This simulation clarifies that the LFC component has chaotic properties.</description><subject>chaos</subject><subject>Chaos theory</subject><subject>Decomposition</subject><subject>Frequencies</subject><subject>Frequency control</subject><subject>nonlinear prediction</subject><subject>Photovoltaic cells</subject><subject>photovoltaic generation</subject><subject>Properties (attributes)</subject><subject>Regression analysis</subject><subject>Solar cells</subject><subject>Spectrum analysis</subject><subject>Variation</subject><issn>0424-7760</issn><issn>1520-6416</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kM1OwzAQhC0EEqVw4A0sceKQdh07f8dS2gKqRA9wjhx3Q12lcbATqrw9bsOVy45W-mY0GkLuGUwYQDhF3E9CDgwuyIhFIQSxYPElGYEIRZAkMVyTG-f2AJCwJB2R5hmVOTTG6VabmpqSLqtOtZ1sdf1FNzvTmh9TtVIrusIarTxjG3NES3VNlxa_O6xVT59kvXXUHzqrZdU77U5h8500rfdurGnQthrdLbkqZeXw7k_H5HO5-Ji_BOv31et8tg4U9_2DIuMFRhFEqkSJSm5TxWUhU1GKKMlYWKiEI2T-hTTlPCkKIaVIBKKMRbYN-Zg8DLmNNb6ia_O96ayv5nKWccY4hAw89ThQyhrnLJZ5Y_VB2j5nkJ8Gzf2g-XlQz04H9qgr7P8H88XibXD8AtgWeMI</recordid><startdate>201712</startdate><enddate>201712</enddate><creator>TAKAHASHI, AKIKO</creator><creator>YAMAGATA, AKIHIRO</creator><creator>IMAI, JUN</creator><creator>FUNABIKI, SHIGEYUKI</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>201712</creationdate><title>Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties</title><author>TAKAHASHI, AKIKO ; YAMAGATA, AKIHIRO ; IMAI, JUN ; FUNABIKI, SHIGEYUKI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3230-b93be5505cfeaecad8c3aba84f457912bc73e094f4088337bb4aa474eea649d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>chaos</topic><topic>Chaos theory</topic><topic>Decomposition</topic><topic>Frequencies</topic><topic>Frequency control</topic><topic>nonlinear prediction</topic><topic>Photovoltaic cells</topic><topic>photovoltaic generation</topic><topic>Properties (attributes)</topic><topic>Regression analysis</topic><topic>Solar cells</topic><topic>Spectrum analysis</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>TAKAHASHI, AKIKO</creatorcontrib><creatorcontrib>YAMAGATA, AKIHIRO</creatorcontrib><creatorcontrib>IMAI, JUN</creatorcontrib><creatorcontrib>FUNABIKI, SHIGEYUKI</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electrical engineering in Japan</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>TAKAHASHI, AKIKO</au><au>YAMAGATA, AKIHIRO</au><au>IMAI, JUN</au><au>FUNABIKI, SHIGEYUKI</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties</atitle><jtitle>Electrical engineering in Japan</jtitle><date>2017-12</date><risdate>2017</risdate><volume>201</volume><issue>4</issue><spage>26</spage><epage>33</epage><pages>26-33</pages><issn>0424-7760</issn><eissn>1520-6416</eissn><abstract>SUMMARY
This paper discusses chaotic properties of fluctuating photovoltaic generation (PV) power and reveals that PV power can be decomposed into a chaotic component having shorter periods and a long‐term fluctuation component. The first step is to decompose the PV power into three components containing a long‐term fluctuation component, a load frequency control (LFC) component, and an irregular fluctuation component from normalized PV power data by using periodic regression analysis. The second step is to analyze the long‐term fluctuation component and the LFC component using autocorrelation function. The third step is to clarify the chaotic properties of the LFC component using Lyapunov spectrum analysis. Finally, the simulation of predicting the LFC component and the normalized PV power data is carried out. This simulation clarifies that the LFC component has chaotic properties.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/eej.23010</doi><tpages>8</tpages></addata></record> |
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| subjects | chaos Chaos theory Decomposition Frequencies Frequency control nonlinear prediction Photovoltaic cells photovoltaic generation Properties (attributes) Regression analysis Solar cells Spectrum analysis Variation |
| title | Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties |
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