Loading…
Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization
This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer's elastic demand. LSE determines these decisions to maximize its profit at a given level of ris...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 5 |
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Chawda, Sandeep Mathuria, Parul Bhakar, Rohit Sreekumar, Sreenu |
description | This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer's elastic demand. LSE determines these decisions to maximize its profit at a given level of risk. Consumer's elastic demand is considered by its price elasticity, and price uncertainty is modeled using the mean-variance approach. Optimal decisions of risk-neutral and risk-averse LSE are illustrated through a case study. Results indicate that LSE builds consumer demand by lowering sale prices during solar energy availability hours to utilize it optimally. |
doi_str_mv | 10.1109/PESGM41954.2020.9281805 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_9281805</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9281805</ieee_id><sourcerecordid>9281805</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-c7e36e8ff2cb21e8621636be08d2c6d32ad5f40e917ba79dcc5711ea4e3973a53</originalsourceid><addsrcrecordid>eNotj01Lw0AYhFdBsNb-Ag_uzVPifn8cpcZWSLEQPZfN5l1ZaRJJFjH-eiN2LjM8DAOD0C0lOaXE3u-LarMT1EqRM8JIbpmhhsgzdEX1HKUkxpyjBbVCZNZyfolW4_hBZkmhlWILtH2cOtdGjyt3BLwfogdcQUqxe8ehH3DZu2YGw9cfKLoU03Q3zr0-xIR37ju28cel2HfX6CK44wirky_R21Pxut5m5cvmef1QZpERnjKvgSswITBfMwpGMaq4qoGYhnnVcOYaGQQBS3XttG28l5pScAK41dxJvkQ3_7sRAA6fQ2zdMB1Ox_kvxyJNnA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization</title><source>IEEE Xplore All Conference Series</source><creator>Chawda, Sandeep ; Mathuria, Parul ; Bhakar, Rohit ; Sreekumar, Sreenu</creator><creatorcontrib>Chawda, Sandeep ; Mathuria, Parul ; Bhakar, Rohit ; Sreekumar, Sreenu</creatorcontrib><description>This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer's elastic demand. LSE determines these decisions to maximize its profit at a given level of risk. Consumer's elastic demand is considered by its price elasticity, and price uncertainty is modeled using the mean-variance approach. Optimal decisions of risk-neutral and risk-averse LSE are illustrated through a case study. Results indicate that LSE builds consumer demand by lowering sale prices during solar energy availability hours to utilize it optimally.</description><identifier>EISSN: 1944-9933</identifier><identifier>EISBN: 1728155088</identifier><identifier>EISBN: 9781728155081</identifier><identifier>DOI: 10.1109/PESGM41954.2020.9281805</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Dynamic sale prices ; Elastic demand ; Load modeling ; Load serving entity ; Optimization ; Procurement ; Renewable energy ; Risk ; Solar energy ; Uncertainty ; Wind energy</subject><ispartof>2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9281805$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,23919,23920,25129,27914,54544,54921</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9281805$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chawda, Sandeep</creatorcontrib><creatorcontrib>Mathuria, Parul</creatorcontrib><creatorcontrib>Bhakar, Rohit</creatorcontrib><creatorcontrib>Sreekumar, Sreenu</creatorcontrib><title>Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization</title><title>2020 IEEE Power & Energy Society General Meeting (PESGM)</title><addtitle>PESGM</addtitle><description>This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer's elastic demand. LSE determines these decisions to maximize its profit at a given level of risk. Consumer's elastic demand is considered by its price elasticity, and price uncertainty is modeled using the mean-variance approach. Optimal decisions of risk-neutral and risk-averse LSE are illustrated through a case study. Results indicate that LSE builds consumer demand by lowering sale prices during solar energy availability hours to utilize it optimally.</description><subject>Analytical models</subject><subject>Dynamic sale prices</subject><subject>Elastic demand</subject><subject>Load modeling</subject><subject>Load serving entity</subject><subject>Optimization</subject><subject>Procurement</subject><subject>Renewable energy</subject><subject>Risk</subject><subject>Solar energy</subject><subject>Uncertainty</subject><subject>Wind energy</subject><issn>1944-9933</issn><isbn>1728155088</isbn><isbn>9781728155081</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj01Lw0AYhFdBsNb-Ag_uzVPifn8cpcZWSLEQPZfN5l1ZaRJJFjH-eiN2LjM8DAOD0C0lOaXE3u-LarMT1EqRM8JIbpmhhsgzdEX1HKUkxpyjBbVCZNZyfolW4_hBZkmhlWILtH2cOtdGjyt3BLwfogdcQUqxe8ehH3DZu2YGw9cfKLoU03Q3zr0-xIR37ju28cel2HfX6CK44wirky_R21Pxut5m5cvmef1QZpERnjKvgSswITBfMwpGMaq4qoGYhnnVcOYaGQQBS3XttG28l5pScAK41dxJvkQ3_7sRAA6fQ2zdMB1Ox_kvxyJNnA</recordid><startdate>20200802</startdate><enddate>20200802</enddate><creator>Chawda, Sandeep</creator><creator>Mathuria, Parul</creator><creator>Bhakar, Rohit</creator><creator>Sreekumar, Sreenu</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20200802</creationdate><title>Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization</title><author>Chawda, Sandeep ; Mathuria, Parul ; Bhakar, Rohit ; Sreekumar, Sreenu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-c7e36e8ff2cb21e8621636be08d2c6d32ad5f40e917ba79dcc5711ea4e3973a53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytical models</topic><topic>Dynamic sale prices</topic><topic>Elastic demand</topic><topic>Load modeling</topic><topic>Load serving entity</topic><topic>Optimization</topic><topic>Procurement</topic><topic>Renewable energy</topic><topic>Risk</topic><topic>Solar energy</topic><topic>Uncertainty</topic><topic>Wind energy</topic><toplevel>online_resources</toplevel><creatorcontrib>Chawda, Sandeep</creatorcontrib><creatorcontrib>Mathuria, Parul</creatorcontrib><creatorcontrib>Bhakar, Rohit</creatorcontrib><creatorcontrib>Sreekumar, Sreenu</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 Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chawda, Sandeep</au><au>Mathuria, Parul</au><au>Bhakar, Rohit</au><au>Sreekumar, Sreenu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization</atitle><btitle>2020 IEEE Power & Energy Society General Meeting (PESGM)</btitle><stitle>PESGM</stitle><date>2020-08-02</date><risdate>2020</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><eissn>1944-9933</eissn><eisbn>1728155088</eisbn><eisbn>9781728155081</eisbn><abstract>This paper presents an optimization model to determine optimal dynamic sale prices and optimal energy procurement decisions of a load-serving entity (LSE) in the presence of solar energy for consumer's elastic demand. LSE determines these decisions to maximize its profit at a given level of risk. Consumer's elastic demand is considered by its price elasticity, and price uncertainty is modeled using the mean-variance approach. Optimal decisions of risk-neutral and risk-averse LSE are illustrated through a case study. Results indicate that LSE builds consumer demand by lowering sale prices during solar energy availability hours to utilize it optimally.</abstract><pub>IEEE</pub><doi>10.1109/PESGM41954.2020.9281805</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISSN: 1944-9933 |
ispartof | 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, p.1-5 |
issn | 1944-9933 |
language | eng |
recordid | cdi_ieee_primary_9281805 |
source | IEEE Xplore All Conference Series |
subjects | Analytical models Dynamic sale prices Elastic demand Load modeling Load serving entity Optimization Procurement Renewable energy Risk Solar energy Uncertainty Wind energy |
title | Dynamic Sale Price Setting for Load Serving Entity's Profit Maximization |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T08%3A59%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Dynamic%20Sale%20Price%20Setting%20for%20Load%20Serving%20Entity's%20Profit%20Maximization&rft.btitle=2020%20IEEE%20Power%20&%20Energy%20Society%20General%20Meeting%20(PESGM)&rft.au=Chawda,%20Sandeep&rft.date=2020-08-02&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.eissn=1944-9933&rft_id=info:doi/10.1109/PESGM41954.2020.9281805&rft.eisbn=1728155088&rft.eisbn_list=9781728155081&rft_dat=%3Cieee_CHZPO%3E9281805%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i203t-c7e36e8ff2cb21e8621636be08d2c6d32ad5f40e917ba79dcc5711ea4e3973a53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=9281805&rfr_iscdi=true |