Joint RES and distribution network expansion planning under a demand response framework:
Joint RES and Distribution Network Expansion Planning under a Demand Response Framework explains the implementation of algorithms needed for joint expansion planning of distributed generation and the distribution network models. It discusses how to expand the generation and distribution network addi...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London, UK
Academic Press is an imprint of Elsevier
[2016]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Joint RES and Distribution Network Expansion Planning under a Demand Response Framework explains the implementation of algorithms needed for joint expansion planning of distributed generation and the distribution network models. It discusses how to expand the generation and distribution network adding renewable generation, demand response, storage units and new assets (lines and substations) so that the current and future energy supply in islands is served at a minimum cost and with the quality required. This book discusses the outcomes of the models discussed and factors such as the locations and sizes of new generation assets to be installed. It also introduces other issues relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a more and more significant role in future expansion planning model. The present study stresses their relevance, including additional considerations to the planning model. Investigates the costs and benefits of deploying energy storage systems (ESS) and DRExplores distribution and generation expansion planningAnalyses and addresses power flow constraints and the impact of real time pricing mechanismsDetails the RES integration challenge at length |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 online resource (vi, 102 pages) |
| ISBN: | 9780081009536 0081009534 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV045381742 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 181228s2016 |||| o||u| ||||||eng d | ||
| 015 | |a GBB6F6404 |2 dnb | ||
| 020 | |a 9780081009536 |9 978-0-08-100953-6 | ||
| 020 | |a 0081009534 |9 0-08-100953-4 | ||
| 035 | |a (ZDB-33-ESD)ocn948511651 | ||
| 035 | |a (ZDB-33-EBS)ocn948511651 | ||
| 035 | |a (OCoLC)948511651 | ||
| 035 | |a (DE-599)BVBBV045381742 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 621.3101/5118 |2 23 | |
| 100 | 1 | |a Contreras, Javier |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Joint RES and distribution network expansion planning under a demand response framework |c Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno |
| 264 | 1 | |a London, UK |b Academic Press is an imprint of Elsevier |c [2016] | |
| 300 | |a 1 online resource (vi, 102 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references | ||
| 520 | |a Joint RES and Distribution Network Expansion Planning under a Demand Response Framework explains the implementation of algorithms needed for joint expansion planning of distributed generation and the distribution network models. It discusses how to expand the generation and distribution network adding renewable generation, demand response, storage units and new assets (lines and substations) so that the current and future energy supply in islands is served at a minimum cost and with the quality required. This book discusses the outcomes of the models discussed and factors such as the locations and sizes of new generation assets to be installed. It also introduces other issues relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a more and more significant role in future expansion planning model. The present study stresses their relevance, including additional considerations to the planning model. Investigates the costs and benefits of deploying energy storage systems (ESS) and DRExplores distribution and generation expansion planningAnalyses and addresses power flow constraints and the impact of real time pricing mechanismsDetails the RES integration challenge at length | ||
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Mechanical |2 bisacsh | |
| 650 | 7 | |a Electric power distribution / Mathematical models |2 fast | |
| 650 | 7 | |a Electric power production / Mathematical models |2 fast | |
| 650 | 7 | |a Electric power systems / Mathematical models |2 fast | |
| 650 | 4 | |a Electric power systems |x Mathematical models | |
| 650 | 4 | |a Electric power production |x Mathematical models | |
| 650 | 4 | |a Electric power distribution |x Mathematical models | |
| 700 | 1 | |a Asensio, Miguel |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780128053225 |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9780128053225 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-33-ESD |a ZDB-33-EBS | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030768075 | ||
Datensatz im Suchindex
| _version_ | 1804179232852541440 |
|---|---|
| any_adam_object | |
| author | Contreras, Javier Asensio, Miguel |
| author_facet | Contreras, Javier Asensio, Miguel |
| author_role | aut aut |
| author_sort | Contreras, Javier |
| author_variant | j c jc m a ma |
| building | Verbundindex |
| bvnumber | BV045381742 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (ZDB-33-ESD)ocn948511651 (ZDB-33-EBS)ocn948511651 (OCoLC)948511651 (DE-599)BVBBV045381742 |
| dewey-full | 621.3101/5118 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3101/5118 |
| dewey-search | 621.3101/5118 |
| dewey-sort | 3621.3101 45118 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03115nmm a2200457zc 4500</leader><controlfield tag="001">BV045381742</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">181228s2016 |||| o||u| ||||||eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBB6F6404</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780081009536</subfield><subfield code="9">978-0-08-100953-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0081009534</subfield><subfield code="9">0-08-100953-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-ESD)ocn948511651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-33-EBS)ocn948511651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)948511651</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045381742</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.3101/5118</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Contreras, Javier</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Joint RES and distribution network expansion planning under a demand response framework</subfield><subfield code="c">Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London, UK</subfield><subfield code="b">Academic Press is an imprint of Elsevier</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (vi, 102 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Joint RES and Distribution Network Expansion Planning under a Demand Response Framework explains the implementation of algorithms needed for joint expansion planning of distributed generation and the distribution network models. It discusses how to expand the generation and distribution network adding renewable generation, demand response, storage units and new assets (lines and substations) so that the current and future energy supply in islands is served at a minimum cost and with the quality required. This book discusses the outcomes of the models discussed and factors such as the locations and sizes of new generation assets to be installed. It also introduces other issues relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a more and more significant role in future expansion planning model. The present study stresses their relevance, including additional considerations to the planning model. Investigates the costs and benefits of deploying energy storage systems (ESS) and DRExplores distribution and generation expansion planningAnalyses and addresses power flow constraints and the impact of real time pricing mechanismsDetails the RES integration challenge at length</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING / Mechanical</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Electric power distribution / Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Electric power production / Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Electric power systems / Mathematical models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electric power systems</subfield><subfield code="x">Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electric power production</subfield><subfield code="x">Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electric power distribution</subfield><subfield code="x">Mathematical models</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Asensio, Miguel</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780128053225</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9780128053225</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030768075</subfield></datafield></record></collection> |
| id | DE-604.BV045381742 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:16:36Z |
| institution | BVB |
| isbn | 9780081009536 0081009534 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030768075 |
| oclc_num | 948511651 |
| open_access_boolean | |
| physical | 1 online resource (vi, 102 pages) |
| psigel | ZDB-33-ESD ZDB-33-EBS |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Academic Press is an imprint of Elsevier |
| record_format | marc |
| spelling | Contreras, Javier Verfasser aut Joint RES and distribution network expansion planning under a demand response framework Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno London, UK Academic Press is an imprint of Elsevier [2016] 1 online resource (vi, 102 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references Joint RES and Distribution Network Expansion Planning under a Demand Response Framework explains the implementation of algorithms needed for joint expansion planning of distributed generation and the distribution network models. It discusses how to expand the generation and distribution network adding renewable generation, demand response, storage units and new assets (lines and substations) so that the current and future energy supply in islands is served at a minimum cost and with the quality required. This book discusses the outcomes of the models discussed and factors such as the locations and sizes of new generation assets to be installed. It also introduces other issues relevant to the planning of insular distribution systems, including DR and hybrid storage. DR and ESS will play a more and more significant role in future expansion planning model. The present study stresses their relevance, including additional considerations to the planning model. Investigates the costs and benefits of deploying energy storage systems (ESS) and DRExplores distribution and generation expansion planningAnalyses and addresses power flow constraints and the impact of real time pricing mechanismsDetails the RES integration challenge at length TECHNOLOGY & ENGINEERING / Mechanical bisacsh Electric power distribution / Mathematical models fast Electric power production / Mathematical models fast Electric power systems / Mathematical models fast Electric power systems Mathematical models Electric power production Mathematical models Electric power distribution Mathematical models Asensio, Miguel aut Erscheint auch als Druck-Ausgabe 9780128053225 http://www.sciencedirect.com/science/book/9780128053225 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Contreras, Javier Asensio, Miguel Joint RES and distribution network expansion planning under a demand response framework TECHNOLOGY & ENGINEERING / Mechanical bisacsh Electric power distribution / Mathematical models fast Electric power production / Mathematical models fast Electric power systems / Mathematical models fast Electric power systems Mathematical models Electric power production Mathematical models Electric power distribution Mathematical models |
| title | Joint RES and distribution network expansion planning under a demand response framework |
| title_auth | Joint RES and distribution network expansion planning under a demand response framework |
| title_exact_search | Joint RES and distribution network expansion planning under a demand response framework |
| title_full | Joint RES and distribution network expansion planning under a demand response framework Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno |
| title_fullStr | Joint RES and distribution network expansion planning under a demand response framework Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno |
| title_full_unstemmed | Joint RES and distribution network expansion planning under a demand response framework Javier Contreras, Miguel Asensio, Pilar Meneses de Quevedo, Gregorio Muñoz-Delgado, and Sergio Montoya-Bueno |
| title_short | Joint RES and distribution network expansion planning under a demand response framework |
| title_sort | joint res and distribution network expansion planning under a demand response framework |
| topic | TECHNOLOGY & ENGINEERING / Mechanical bisacsh Electric power distribution / Mathematical models fast Electric power production / Mathematical models fast Electric power systems / Mathematical models fast Electric power systems Mathematical models Electric power production Mathematical models Electric power distribution Mathematical models |
| topic_facet | TECHNOLOGY & ENGINEERING / Mechanical Electric power distribution / Mathematical models Electric power production / Mathematical models Electric power systems / Mathematical models Electric power systems Mathematical models Electric power production Mathematical models Electric power distribution Mathematical models |
| url | http://www.sciencedirect.com/science/book/9780128053225 |
| work_keys_str_mv | AT contrerasjavier jointresanddistributionnetworkexpansionplanningunderademandresponseframework AT asensiomiguel jointresanddistributionnetworkexpansionplanningunderademandresponseframework |