Distributed Energy Resources Topology Identification via Graphical Modeling

Distributed energy resources (DERs), such as photovoltaic, wind, and gas generators, are connected to the grid more than ever before, which introduces tremendous changes in the distribution grid. Due to these changes, it is important to understand where these DERs are connected in order to sustainab...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 32; H. 4; S. 2682 - 2694
Hauptverfasser:	Yang Weng, Yizheng Liao, Rajagopal, Ram
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computer simulation Density estimation robust algorithm Distributed energy resources Distributed generation distribution grids Electric potential Electric power distribution Electric utilities Electricity distribution Electronic devices Energy resources Energy sources Gas generators Generators graphical model Graphical models Modelling mutual information Network topology Power flow Probabilistic logic Probabilistic methods Probability theory Sensors Topology topology identification Voltage measurement Wind power generation
ISSN:	0885-8950, 1558-0679
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Abstract	Distributed energy resources (DERs), such as photovoltaic, wind, and gas generators, are connected to the grid more than ever before, which introduces tremendous changes in the distribution grid. Due to these changes, it is important to understand where these DERs are connected in order to sustainably operate the distribution grid. But the exact distribution system topology is difficult to obtain due to frequent distribution grid reconfigurations and insufficient knowledge about new components. In this paper, we propose a methodology that utilizes new data from sensor-equipped DER devices to obtain the distribution grid topology. Specifically, a graphical model is presented to describe the probabilistic relationship among different voltage measurements. With power flow analysis, a mutual information-based identification algorithm is proposed to deal with tree and partially meshed networks. Simulation results show highly accurate connectivity identification in the IEEE standard distribution test systems and Electric Power Research Institute test systems.
AbstractList	Distributed energy resources (DERs), such as photovoltaic, wind, and gas generators, are connected to the grid more than ever before, which introduces tremendous changes in the distribution grid. Due to these changes, it is important to understand where these DERs are connected in order to sustainably operate the distribution grid. But the exact distribution system topology is difficult to obtain due to frequent distribution grid reconfigurations and insufficient knowledge about new components. In this paper, we propose a methodology that utilizes new data from sensor-equipped DER devices to obtain the distribution grid topology. Specifically, a graphical model is presented to describe the probabilistic relationship among different voltage measurements. With power flow analysis, a mutual information-based identification algorithm is proposed to deal with tree and partially meshed networks. Simulation results show highly accurate connectivity identification in the IEEE standard distribution test systems and Electric Power Research Institute test systems.
Author	Yizheng Liao Rajagopal, Ram Yang Weng
Author_xml	– sequence: 1 surname: Yang Weng fullname: Yang Weng email: yangweng@stanford.edu organization: Stanford Univ., Stanford, CA, USA – sequence: 2 surname: Yizheng Liao fullname: Yizheng Liao email: yzliao@stanford.edu organization: Stanford Univ., Stanford, CA, USA – sequence: 3 givenname: Ram surname: Rajagopal fullname: Rajagopal, Ram email: ramr@stanford.edu organization: Stanford Univ., Stanford, CA, USA
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Cites_doi	10.1109/TPWRS.2008.926702 10.1049/iet-gtd.2015.0191 10.1109/SmartGridComm.2012.6486051 10.1109/TPAMI.2011.108 10.2172/1158421 10.1109/PESGM.2016.7741545 10.1016/j.ijepes.2016.03.044 10.1109/TDC.2004.1432410 10.1109/SmartGridComm.2013.6687940 10.1007/s40518-015-0027-8 10.2307/2033241 10.1109/ISGT.2015.7131897 10.1007/978-3-319-13290-7_6 10.1109/TPWRS.2006.873014 10.1109/TIT.1968.1054142 10.1109/PESW.2001.916993 10.1109/TPWRS.2015.2457954 10.1109/PESGM.2015.7285756 10.1287/inte.2014.0748 10.1109/SmartGridComm.2014.7007706 10.1201/9780203913673 10.1109/TD-ASIA.2009.5356939 10.1109/TPAS.1984.318663 10.1109/TPAS.1980.319807 10.1109/CAMSAP.2013.6714097 10.2172/1167238 10.1109/CISS.2012.6310739 10.1109/PESGM.2012.6345126 10.1049/iet-rpg.2012.0213 10.1109/SmartGridComm.2015.7436410 10.1109/CDC.2013.6760120 10.1109/PESGM.2015.7286053 10.1109/ISGT.2012.6175638
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References	ref12 vittal (ref11) 2010; 40 ref15 ref14 ref10 abur (ref20) 2004 ref17 ref16 ref19 farivar (ref21) 2011 ref18 murillo-sanchez (ref42) 0 post (ref8) 2015 ref51 ref50 (ref41) 0 ref48 (ref53) 2016 williamson (ref46) 2000 (ref2) 2012 ref7 cover (ref47) 2012 (ref37) 2015 ref9 ref4 ref6 ref5 ref40 einfalt (ref52) 2011 ref35 ref34 edision (ref1) 2015 ref31 ref30 ref33 ref32 ref39 (ref44) 2016 ref38 cormen (ref49) 2001; 2 liao (ref13) 2015 dugan (ref45) 2012 ref24 ref23 ref26 ref25 ref22 meier (ref36) 2014 ref28 ref27 zimmerman (ref43) 2010 cavraro (ref29) 2015 (ref3) 2014
References_xml	– year: 2011 ident: ref21 article-title: New distributed controls to expand the grid capacity for renewable energy – year: 2015 ident: ref37 article-title: Powerguide app – ident: ref16 doi: 10.1109/TPWRS.2008.926702 – ident: ref9 doi: 10.1049/iet-gtd.2015.0191 – ident: ref38 doi: 10.1109/SmartGridComm.2012.6486051 – ident: ref18 doi: 10.1109/TPAMI.2011.108 – year: 2011 ident: ref52 article-title: Adres-concept: Konzeptentwicklung für adres-autonome dezentrale regenerative energiesysteme – ident: ref51 doi: 10.2172/1158421 – start-page: 106 year: 2000 ident: ref46 article-title: Approximating discrete probability distributions with Bayesian networks publication-title: Int Conf on Artificial Intell Sci Tech – volume: 2 year: 2001 ident: ref49 publication-title: Introduction to Algorithms – year: 2015 ident: ref8 – year: 2012 ident: ref45 article-title: Reference guide: The open distribution system simulator (openDSS) – start-page: 1 year: 2014 ident: ref36 article-title: Micro-synchrophasors for distribution systems publication-title: Proc IEEE Innovative Smart Grid Technol Conf – year: 2014 ident: ref3 article-title: 2013 National Solar Jobs Census – ident: ref14 doi: 10.1109/PESGM.2016.7741545 – ident: ref10 doi: 10.1016/j.ijepes.2016.03.044 – ident: ref15 doi: 10.1109/TDC.2004.1432410 – start-page: 7 year: 2012 ident: ref2 article-title: Sunshot vision study – ident: ref39 doi: 10.1109/SmartGridComm.2013.6687940 – start-page: 1 year: 0 ident: ref42 article-title: Matpower's extensible optimal power flow architecture publication-title: Proc IEEE Power & Energy Soc General Meeting – ident: ref5 doi: 10.1007/s40518-015-0027-8 – year: 2012 ident: ref47 publication-title: Elements of Information Theory – ident: ref48 doi: 10.2307/2033241 – year: 0 ident: ref41 article-title: Distribution test feeders – year: 2010 ident: ref43 article-title: Matpower, a MATLAB power system simulation package – ident: ref22 doi: 10.1109/ISGT.2015.7131897 – ident: ref7 doi: 10.1007/978-3-319-13290-7_6 – ident: ref4 doi: 10.1109/TPWRS.2006.873014 – ident: ref40 doi: 10.1109/TIT.1968.1054142 – ident: ref50 doi: 10.1109/PESW.2001.916993 – ident: ref24 doi: 10.1109/TPWRS.2015.2457954 – year: 2015 ident: ref29 article-title: Distribution network topology detection with time series measurement data analysis publication-title: arXiv 1504 05926 – ident: ref34 doi: 10.1109/PESGM.2015.7285756 – ident: ref19 doi: 10.1287/inte.2014.0748 – ident: ref12 doi: 10.1109/SmartGridComm.2014.7007706 – year: 2004 ident: ref20 publication-title: Power System State Estimation Theory and Implementation doi: 10.1201/9780203913673 – ident: ref32 doi: 10.1109/TD-ASIA.2009.5356939 – ident: ref6 doi: 10.1109/TPAS.1984.318663 – volume: 40 start-page: 5 year: 2010 ident: ref11 article-title: The impact of renewable resources on the performance and reliability of the electricity grid publication-title: Bridge – ident: ref23 doi: 10.1109/TPAS.1980.319807 – year: 2016 ident: ref44 article-title: Adres-dataset – ident: ref26 doi: 10.1109/CAMSAP.2013.6714097 – start-page: 2 year: 2016 ident: ref53 article-title: Eaton Power Xpert Meter 4000/6000/8000 Tech Data, Manual – ident: ref28 doi: 10.2172/1167238 – ident: ref27 doi: 10.1109/CISS.2012.6310739 – ident: ref31 doi: 10.1109/PESGM.2012.6345126 – ident: ref17 doi: 10.1049/iet-rpg.2012.0213 – ident: ref35 doi: 10.1109/SmartGridComm.2015.7436410 – ident: ref25 doi: 10.1109/CDC.2013.6760120 – start-page: 1 year: 2015 ident: ref13 article-title: Distribution grid topology reconstruction: An information theoretic approach publication-title: Proc North Amer Power Symp – ident: ref33 doi: 10.1109/PESGM.2015.7286053 – year: 2015 ident: ref1 article-title: Distribution resources plan applications – ident: ref30 doi: 10.1109/ISGT.2012.6175638
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SubjectTerms	Computer simulation Density estimation robust algorithm Distributed energy resources Distributed generation distribution grids Electric potential Electric power distribution Electric utilities Electricity distribution Electronic devices Energy resources Energy sources Gas generators Generators graphical model Graphical models Modelling mutual information Network topology Power flow Probabilistic logic Probabilistic methods Probability theory Sensors Topology topology identification Voltage measurement Wind power generation
Title	Distributed Energy Resources Topology Identification via Graphical Modeling
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