A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility

This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Soft computing (Berlin, Germany) Germany), 2023-09, Vol.27 (18), p.12925-12942
Hauptverfasser: Beraldi, Patrizia, Khodaparasti, Sara
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 12942
container_issue 18
container_start_page 12925
container_title Soft computing (Berlin, Germany)
container_volume 27
creator Beraldi, Patrizia
Khodaparasti, Sara
description This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play the role of upper and lower decision makers with conflicting goals. The aggregator establishes the pricing scheme by optimizing the supply strategy with the aim of maximizing the profit, prosumers react to the price signals by scheduling the flexible loads and managing the home energy system to minimize the electricity bill. The problem is solved by a heuristic approach which exploits the specific model structure. Some numerical experiments have been carried out on a real test case. The results provide the stakeholders with informative managerial insights underlining the prominent roles of aggregator and prosumers.
doi_str_mv 10.1007/s00500-022-07038-3
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918135808</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918135808</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-25f7c929a6e8a1e07ac416dd3ca0262cb5a9b3f0957a739767fcf071cbbb12e3</originalsourceid><addsrcrecordid>eNp9kD1PwzAQhi0EEqXwB5gsMRvOviROxqriS6rE0o3Bchy7dZWPYqdA_z2GILGx3N3wvO9JDyHXHG45gLyLADkAAyEYSMCS4QmZ8QyRyUxWpz-3YLLI8JxcxLgDEFzmOCOvC1p71tp329JuaNJ0Q6Dj1tLGRr_p6eBoc-x15w21rTVj8MaPRzrq4J2L9MOP24R2um9Y9I2lrrWfvvZtgi7JmdNttFe_e07WD_fr5RNbvTw-LxcrZrDAkYncSVOJShe21NyC1CbjRdOg0SAKYepcVzU6qHKpJVaykM44kNzUdc2FxTm5mWr3YXg72Diq3XAIffqoRMVLjnkJZaLERJkwxBisU_vgOx2OioP6dqgmhyo5VD8OFaYQTqGY4H5jw1_1P6kvPu90wA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918135808</pqid></control><display><type>article</type><title>A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility</title><source>ProQuest Central UK/Ireland</source><source>SpringerLink Journals - AutoHoldings</source><source>ProQuest Central</source><creator>Beraldi, Patrizia ; Khodaparasti, Sara</creator><creatorcontrib>Beraldi, Patrizia ; Khodaparasti, Sara</creatorcontrib><description>This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play the role of upper and lower decision makers with conflicting goals. The aggregator establishes the pricing scheme by optimizing the supply strategy with the aim of maximizing the profit, prosumers react to the price signals by scheduling the flexible loads and managing the home energy system to minimize the electricity bill. The problem is solved by a heuristic approach which exploits the specific model structure. Some numerical experiments have been carried out on a real test case. The results provide the stakeholders with informative managerial insights underlining the prominent roles of aggregator and prosumers.</description><identifier>ISSN: 1432-7643</identifier><identifier>EISSN: 1433-7479</identifier><identifier>DOI: 10.1007/s00500-022-07038-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Artificial Intelligence ; Computational Intelligence ; Consumers ; Control ; Demand side management ; Electric rates ; Electricity ; Electricity distribution ; Electricity pricing ; Energy consumption ; Engineering ; Flexibility ; Focus ; Heuristic ; Heuristic methods ; Mathematical Logic and Foundations ; Mechatronics ; Optimization ; Pricing policies ; Residential energy ; Robotics ; Suppliers</subject><ispartof>Soft computing (Berlin, Germany), 2023-09, Vol.27 (18), p.12925-12942</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-25f7c929a6e8a1e07ac416dd3ca0262cb5a9b3f0957a739767fcf071cbbb12e3</citedby><cites>FETCH-LOGICAL-c363t-25f7c929a6e8a1e07ac416dd3ca0262cb5a9b3f0957a739767fcf071cbbb12e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00500-022-07038-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918135808?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,27905,27906,33725,41469,42538,43786,51300,64364,64368,72218</link.rule.ids></links><search><creatorcontrib>Beraldi, Patrizia</creatorcontrib><creatorcontrib>Khodaparasti, Sara</creatorcontrib><title>A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility</title><title>Soft computing (Berlin, Germany)</title><addtitle>Soft Comput</addtitle><description>This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play the role of upper and lower decision makers with conflicting goals. The aggregator establishes the pricing scheme by optimizing the supply strategy with the aim of maximizing the profit, prosumers react to the price signals by scheduling the flexible loads and managing the home energy system to minimize the electricity bill. The problem is solved by a heuristic approach which exploits the specific model structure. Some numerical experiments have been carried out on a real test case. The results provide the stakeholders with informative managerial insights underlining the prominent roles of aggregator and prosumers.</description><subject>Artificial Intelligence</subject><subject>Computational Intelligence</subject><subject>Consumers</subject><subject>Control</subject><subject>Demand side management</subject><subject>Electric rates</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Electricity pricing</subject><subject>Energy consumption</subject><subject>Engineering</subject><subject>Flexibility</subject><subject>Focus</subject><subject>Heuristic</subject><subject>Heuristic methods</subject><subject>Mathematical Logic and Foundations</subject><subject>Mechatronics</subject><subject>Optimization</subject><subject>Pricing policies</subject><subject>Residential energy</subject><subject>Robotics</subject><subject>Suppliers</subject><issn>1432-7643</issn><issn>1433-7479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kD1PwzAQhi0EEqXwB5gsMRvOviROxqriS6rE0o3Bchy7dZWPYqdA_z2GILGx3N3wvO9JDyHXHG45gLyLADkAAyEYSMCS4QmZ8QyRyUxWpz-3YLLI8JxcxLgDEFzmOCOvC1p71tp329JuaNJ0Q6Dj1tLGRr_p6eBoc-x15w21rTVj8MaPRzrq4J2L9MOP24R2um9Y9I2lrrWfvvZtgi7JmdNttFe_e07WD_fr5RNbvTw-LxcrZrDAkYncSVOJShe21NyC1CbjRdOg0SAKYepcVzU6qHKpJVaykM44kNzUdc2FxTm5mWr3YXg72Diq3XAIffqoRMVLjnkJZaLERJkwxBisU_vgOx2OioP6dqgmhyo5VD8OFaYQTqGY4H5jw1_1P6kvPu90wA</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Beraldi, Patrizia</creator><creator>Khodaparasti, Sara</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20230901</creationdate><title>A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility</title><author>Beraldi, Patrizia ; Khodaparasti, Sara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-25f7c929a6e8a1e07ac416dd3ca0262cb5a9b3f0957a739767fcf071cbbb12e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial Intelligence</topic><topic>Computational Intelligence</topic><topic>Consumers</topic><topic>Control</topic><topic>Demand side management</topic><topic>Electric rates</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Electricity pricing</topic><topic>Energy consumption</topic><topic>Engineering</topic><topic>Flexibility</topic><topic>Focus</topic><topic>Heuristic</topic><topic>Heuristic methods</topic><topic>Mathematical Logic and Foundations</topic><topic>Mechatronics</topic><topic>Optimization</topic><topic>Pricing policies</topic><topic>Residential energy</topic><topic>Robotics</topic><topic>Suppliers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beraldi, Patrizia</creatorcontrib><creatorcontrib>Khodaparasti, Sara</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Soft computing (Berlin, Germany)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beraldi, Patrizia</au><au>Khodaparasti, Sara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility</atitle><jtitle>Soft computing (Berlin, Germany)</jtitle><stitle>Soft Comput</stitle><date>2023-09-01</date><risdate>2023</risdate><volume>27</volume><issue>18</issue><spage>12925</spage><epage>12942</epage><pages>12925-12942</pages><issn>1432-7643</issn><eissn>1433-7479</eissn><abstract>This paper addresses the electricity pricing problem with demand-side flexibility. The interaction between an aggregator and the prosumers within a coalition is modeled by a Stackelberg game and formulated as a mathematical bi-level program where the aggregator and the prosumer, respectively, play the role of upper and lower decision makers with conflicting goals. The aggregator establishes the pricing scheme by optimizing the supply strategy with the aim of maximizing the profit, prosumers react to the price signals by scheduling the flexible loads and managing the home energy system to minimize the electricity bill. The problem is solved by a heuristic approach which exploits the specific model structure. Some numerical experiments have been carried out on a real test case. The results provide the stakeholders with informative managerial insights underlining the prominent roles of aggregator and prosumers.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00500-022-07038-3</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1432-7643
ispartof Soft computing (Berlin, Germany), 2023-09, Vol.27 (18), p.12925-12942
issn 1432-7643
1433-7479
language eng
recordid cdi_proquest_journals_2918135808
source ProQuest Central UK/Ireland; SpringerLink Journals - AutoHoldings; ProQuest Central
subjects Artificial Intelligence
Computational Intelligence
Consumers
Control
Demand side management
Electric rates
Electricity
Electricity distribution
Electricity pricing
Energy consumption
Engineering
Flexibility
Focus
Heuristic
Heuristic methods
Mathematical Logic and Foundations
Mechatronics
Optimization
Pricing policies
Residential energy
Robotics
Suppliers
title A bi-level model for the design of dynamic electricity tariffs with demand-side flexibility
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T16%3A57%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20bi-level%20model%20for%20the%20design%20of%20dynamic%20electricity%20tariffs%20with%20demand-side%20flexibility&rft.jtitle=Soft%20computing%20(Berlin,%20Germany)&rft.au=Beraldi,%20Patrizia&rft.date=2023-09-01&rft.volume=27&rft.issue=18&rft.spage=12925&rft.epage=12942&rft.pages=12925-12942&rft.issn=1432-7643&rft.eissn=1433-7479&rft_id=info:doi/10.1007/s00500-022-07038-3&rft_dat=%3Cproquest_cross%3E2918135808%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918135808&rft_id=info:pmid/&rfr_iscdi=true