Modeling reliability aspects of distributed generation connected to distribution systems
This paper presents a discussion about modeling reliability aspects of distributed generation connected to distribution systems. Three different models developed by the authors are presented. The first is based on analytical method and is applicable to DG units of non-intermittent energy sources. Th...
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creator | Andrade, W.S. Borges, C.L.T. Falcao, D.M. |
description | This paper presents a discussion about modeling reliability aspects of distributed generation connected to distribution systems. Three different models developed by the authors are presented. The first is based on analytical method and is applicable to DG units of non-intermittent energy sources. The second considers the uncertainty of generation associated with wind generation and proposes a model based on multiple states Markov process. The third combines some aspects of the two previous models and aggregates the load variation curve in a sequential Monte Carlo simulation method. Practical operational premises are explored in all models |
doi_str_mv | 10.1109/PES.2006.1708991 |
format | Conference Proceeding |
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Three different models developed by the authors are presented. The first is based on analytical method and is applicable to DG units of non-intermittent energy sources. The second considers the uncertainty of generation associated with wind generation and proposes a model based on multiple states Markov process. The third combines some aspects of the two previous models and aggregates the load variation curve in a sequential Monte Carlo simulation method. 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Three different models developed by the authors are presented. The first is based on analytical method and is applicable to DG units of non-intermittent energy sources. The second considers the uncertainty of generation associated with wind generation and proposes a model based on multiple states Markov process. The third combines some aspects of the two previous models and aggregates the load variation curve in a sequential Monte Carlo simulation method. Practical operational premises are explored in all models</description><subject>Costs</subject><subject>Distributed control</subject><subject>Distributed Generation</subject><subject>Distribution Systems</subject><subject>Investments</subject><subject>Power generation</subject><subject>Power system modeling</subject><subject>Power system reliability</subject><subject>Reliability</subject><subject>Solar power generation</subject><subject>Uncertainty</subject><subject>Uncertainty Modeling</subject><subject>Wind energy</subject><subject>Wind energy generation</subject><issn>1932-5517</issn><isbn>1424404932</isbn><isbn>9781424404933</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMFKw0AURQdUsNbuBTfzA6nvJS_JzFJKtUJFwS7clUnmTRlJk5IZF_l7Ryy4OnDP5S6uEHcIS0TQD-_rj2UOUC2xBqU1XogbpJwISBf5pZhhQlaWWF-LRQhfAIC6qpOfic_XwXLn-4McE0zjOx8nacKJ2xjk4KT1IY6--Y5s5YF7Hk30Qy_boe9TJYVx-O_8mjCFyMdwK66c6QIvzpyL3dN6t9pk27fnl9XjNvMaYkYNWMJWOeKKSqcLhY0CVoTOJWewVLZyYLjRCE4ZYrAWFbVK5ejqspiL-79Zz8z70-iPZpz25x-KH8coU14</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Andrade, W.S.</creator><creator>Borges, C.L.T.</creator><creator>Falcao, D.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2006</creationdate><title>Modeling reliability aspects of distributed generation connected to distribution systems</title><author>Andrade, W.S. ; Borges, C.L.T. ; Falcao, D.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4b0d41c8f4e645f9381b80e841ff4b0a158d6f0aeb910f8a4e0dd184c8821f753</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Costs</topic><topic>Distributed control</topic><topic>Distributed Generation</topic><topic>Distribution Systems</topic><topic>Investments</topic><topic>Power generation</topic><topic>Power system modeling</topic><topic>Power system reliability</topic><topic>Reliability</topic><topic>Solar power generation</topic><topic>Uncertainty</topic><topic>Uncertainty Modeling</topic><topic>Wind energy</topic><topic>Wind energy generation</topic><toplevel>online_resources</toplevel><creatorcontrib>Andrade, W.S.</creatorcontrib><creatorcontrib>Borges, C.L.T.</creatorcontrib><creatorcontrib>Falcao, D.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Andrade, W.S.</au><au>Borges, C.L.T.</au><au>Falcao, D.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modeling reliability aspects of distributed generation connected to distribution systems</atitle><btitle>2006 IEEE Power Engineering Society General Meeting</btitle><stitle>PES</stitle><date>2006</date><risdate>2006</risdate><spage>6 pp.</spage><pages>6 pp.-</pages><issn>1932-5517</issn><isbn>1424404932</isbn><isbn>9781424404933</isbn><abstract>This paper presents a discussion about modeling reliability aspects of distributed generation connected to distribution systems. Three different models developed by the authors are presented. The first is based on analytical method and is applicable to DG units of non-intermittent energy sources. The second considers the uncertainty of generation associated with wind generation and proposes a model based on multiple states Markov process. The third combines some aspects of the two previous models and aggregates the load variation curve in a sequential Monte Carlo simulation method. Practical operational premises are explored in all models</abstract><pub>IEEE</pub><doi>10.1109/PES.2006.1708991</doi></addata></record> |
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ispartof | 2006 IEEE Power Engineering Society General Meeting, 2006, p.6 pp. |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Costs Distributed control Distributed Generation Distribution Systems Investments Power generation Power system modeling Power system reliability Reliability Solar power generation Uncertainty Uncertainty Modeling Wind energy Wind energy generation |
title | Modeling reliability aspects of distributed generation connected to distribution systems |
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