Optimisation of size and control of grid-connected storage under real time electricity pricing conditions
•A model to optimise size and control of a grid-connected storage system is presented.•The optimisation minimises net present cost (NPC) and levelised cost of energy (LCE).•The electricity tariff considered is a real-time pricing (RTP).•Example of battery storage under a RTP based on Spanish electri...
Gespeichert in:
Veröffentlicht in: | Applied energy 2015-02, Vol.140, p.395-408 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 408 |
---|---|
container_issue | |
container_start_page | 395 |
container_title | Applied energy |
container_volume | 140 |
creator | Dufo-López, Rodolfo |
description | •A model to optimise size and control of a grid-connected storage system is presented.•The optimisation minimises net present cost (NPC) and levelised cost of energy (LCE).•The electricity tariff considered is a real-time pricing (RTP).•Example of battery storage under a RTP based on Spanish electricity market pool.•High reduction in battery cost is needed to get same NPC as system without storage.
In this paper, a storage system has been considered to be added to a private electricity facility in order to reduce the electricity bill. This kind of system could make sense with a time-of-use (TOU) tariff (with two or three periods of different electricity price) or a real-time pricing (RTP) tariff (which can vary hourly depending on wholesale market), where each day, electricity is bought from the AC grid during off-peak hours (at low price) to store energy, and during on-peak hours (at high price), the storage supplies the whole load or a part, avoiding the purchase of expensive electricity from the AC grid. A new optimisation model to obtain the best storage size and control of the charge–discharge process under RTP tariff has been developed, minimising the net present cost of the system. This methodology allows the electricity consumer to evaluate the profitability of adding storage. A case study of battery storage with a hypothetical hourly RTP tariff based on the Spanish electricity market pool of 2013 is shown. Considering the cost of batteries per kWh cycled expected in the near future (0.045€/kWhcycled), even the optimal storage size with the optimal control is not profitable compared to the system without storage. A much lower battery cost (0.0225€/kWhcycled) would be needed so that the storage system could be economically profitable. Considering a stretched RTP hourly pricing tariff (hourly prices higher than the average of each day multiplied by 1.3 and the lower ones by 0.7), the storage system with the costs expected in the near future (0.045€/kWhcycled) is profitable. We conclude that an hourly tariff that takes the base of the Spanish electricity market pool is not adequate to stimulate this technology, as the difference between maximum and minimum prices during the day is too low to compensate the capital cost plus replacement, operation, and maintenance of the storage system. In other countries, with much higher difference between minimum and maximum electricity price of the day, present battery cost could make it profitable. |
doi_str_mv | 10.1016/j.apenergy.2014.12.012 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1669878164</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0306261914012616</els_id><sourcerecordid>1669878164</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-63ea07e7e75c43a0e3b95ef57c38e45bc58de80486c7ad6de75ae95ebfdee1ec3</originalsourceid><addsrcrecordid>eNqNkU1LxDAQhoMouH78BcnRS2smbdP2pix-wcJe9ByyybRk6SY16Qrrrzdl9azMYZjJOw-8eQm5AZYDA3G3zdWIDkN_yDmDMgeeM-AnZAFNzbMWoDklC1YwkXEB7Tm5iHHLGOPA2YLY9TjZnY1qst5R39Fov5AqZ6j2bgp-mHd9sCZLs0M9oaFx8kH1SPfOYKAB1UATAykO6T1YbacDHefu-pli7MyOV-SsU0PE659-Sd6fHt-WL9lq_fy6fFhluixgykSBitWYqkoLxbDYtBV2Va2LBstqo6vGYMPKRuhaGWGSTmFSbDqDCKiLS3J75I7Bf-wxTjLZ0zgMyqHfRwlCtE3dgCj_I2Ulb4XgSSqOUh18jAE7mRzuVDhIYHKOQW7lbwxyjkEClymGdHh_PMTk-dNikFFbdBqNDem7pPH2L8Q34z6XYw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1660429662</pqid></control><display><type>article</type><title>Optimisation of size and control of grid-connected storage under real time electricity pricing conditions</title><source>Elsevier ScienceDirect Journals</source><creator>Dufo-López, Rodolfo</creator><creatorcontrib>Dufo-López, Rodolfo</creatorcontrib><description>•A model to optimise size and control of a grid-connected storage system is presented.•The optimisation minimises net present cost (NPC) and levelised cost of energy (LCE).•The electricity tariff considered is a real-time pricing (RTP).•Example of battery storage under a RTP based on Spanish electricity market pool.•High reduction in battery cost is needed to get same NPC as system without storage.
In this paper, a storage system has been considered to be added to a private electricity facility in order to reduce the electricity bill. This kind of system could make sense with a time-of-use (TOU) tariff (with two or three periods of different electricity price) or a real-time pricing (RTP) tariff (which can vary hourly depending on wholesale market), where each day, electricity is bought from the AC grid during off-peak hours (at low price) to store energy, and during on-peak hours (at high price), the storage supplies the whole load or a part, avoiding the purchase of expensive electricity from the AC grid. A new optimisation model to obtain the best storage size and control of the charge–discharge process under RTP tariff has been developed, minimising the net present cost of the system. This methodology allows the electricity consumer to evaluate the profitability of adding storage. A case study of battery storage with a hypothetical hourly RTP tariff based on the Spanish electricity market pool of 2013 is shown. Considering the cost of batteries per kWh cycled expected in the near future (0.045€/kWhcycled), even the optimal storage size with the optimal control is not profitable compared to the system without storage. A much lower battery cost (0.0225€/kWhcycled) would be needed so that the storage system could be economically profitable. Considering a stretched RTP hourly pricing tariff (hourly prices higher than the average of each day multiplied by 1.3 and the lower ones by 0.7), the storage system with the costs expected in the near future (0.045€/kWhcycled) is profitable. We conclude that an hourly tariff that takes the base of the Spanish electricity market pool is not adequate to stimulate this technology, as the difference between maximum and minimum prices during the day is too low to compensate the capital cost plus replacement, operation, and maintenance of the storage system. In other countries, with much higher difference between minimum and maximum electricity price of the day, present battery cost could make it profitable.</description><identifier>ISSN: 0306-2619</identifier><identifier>EISSN: 1872-9118</identifier><identifier>DOI: 10.1016/j.apenergy.2014.12.012</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Batteries ; Control ; Cost engineering ; Electric batteries ; Electric power grids ; Electricity storage ; Marketing ; Markets ; Optimisation ; Optimization ; Real-time pricing (RTP) tariff ; Storage systems ; Tariffs ; Time of use electricity pricing</subject><ispartof>Applied energy, 2015-02, Vol.140, p.395-408</ispartof><rights>2014 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-63ea07e7e75c43a0e3b95ef57c38e45bc58de80486c7ad6de75ae95ebfdee1ec3</citedby><cites>FETCH-LOGICAL-c431t-63ea07e7e75c43a0e3b95ef57c38e45bc58de80486c7ad6de75ae95ebfdee1ec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0306261914012616$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Dufo-López, Rodolfo</creatorcontrib><title>Optimisation of size and control of grid-connected storage under real time electricity pricing conditions</title><title>Applied energy</title><description>•A model to optimise size and control of a grid-connected storage system is presented.•The optimisation minimises net present cost (NPC) and levelised cost of energy (LCE).•The electricity tariff considered is a real-time pricing (RTP).•Example of battery storage under a RTP based on Spanish electricity market pool.•High reduction in battery cost is needed to get same NPC as system without storage.
In this paper, a storage system has been considered to be added to a private electricity facility in order to reduce the electricity bill. This kind of system could make sense with a time-of-use (TOU) tariff (with two or three periods of different electricity price) or a real-time pricing (RTP) tariff (which can vary hourly depending on wholesale market), where each day, electricity is bought from the AC grid during off-peak hours (at low price) to store energy, and during on-peak hours (at high price), the storage supplies the whole load or a part, avoiding the purchase of expensive electricity from the AC grid. A new optimisation model to obtain the best storage size and control of the charge–discharge process under RTP tariff has been developed, minimising the net present cost of the system. This methodology allows the electricity consumer to evaluate the profitability of adding storage. A case study of battery storage with a hypothetical hourly RTP tariff based on the Spanish electricity market pool of 2013 is shown. Considering the cost of batteries per kWh cycled expected in the near future (0.045€/kWhcycled), even the optimal storage size with the optimal control is not profitable compared to the system without storage. A much lower battery cost (0.0225€/kWhcycled) would be needed so that the storage system could be economically profitable. Considering a stretched RTP hourly pricing tariff (hourly prices higher than the average of each day multiplied by 1.3 and the lower ones by 0.7), the storage system with the costs expected in the near future (0.045€/kWhcycled) is profitable. We conclude that an hourly tariff that takes the base of the Spanish electricity market pool is not adequate to stimulate this technology, as the difference between maximum and minimum prices during the day is too low to compensate the capital cost plus replacement, operation, and maintenance of the storage system. In other countries, with much higher difference between minimum and maximum electricity price of the day, present battery cost could make it profitable.</description><subject>Batteries</subject><subject>Control</subject><subject>Cost engineering</subject><subject>Electric batteries</subject><subject>Electric power grids</subject><subject>Electricity storage</subject><subject>Marketing</subject><subject>Markets</subject><subject>Optimisation</subject><subject>Optimization</subject><subject>Real-time pricing (RTP) tariff</subject><subject>Storage systems</subject><subject>Tariffs</subject><subject>Time of use electricity pricing</subject><issn>0306-2619</issn><issn>1872-9118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqNkU1LxDAQhoMouH78BcnRS2smbdP2pix-wcJe9ByyybRk6SY16Qrrrzdl9azMYZjJOw-8eQm5AZYDA3G3zdWIDkN_yDmDMgeeM-AnZAFNzbMWoDklC1YwkXEB7Tm5iHHLGOPA2YLY9TjZnY1qst5R39Fov5AqZ6j2bgp-mHd9sCZLs0M9oaFx8kH1SPfOYKAB1UATAykO6T1YbacDHefu-pli7MyOV-SsU0PE659-Sd6fHt-WL9lq_fy6fFhluixgykSBitWYqkoLxbDYtBV2Va2LBstqo6vGYMPKRuhaGWGSTmFSbDqDCKiLS3J75I7Bf-wxTjLZ0zgMyqHfRwlCtE3dgCj_I2Ulb4XgSSqOUh18jAE7mRzuVDhIYHKOQW7lbwxyjkEClymGdHh_PMTk-dNikFFbdBqNDem7pPH2L8Q34z6XYw</recordid><startdate>20150215</startdate><enddate>20150215</enddate><creator>Dufo-López, Rodolfo</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7SP</scope><scope>7SU</scope><scope>7TA</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20150215</creationdate><title>Optimisation of size and control of grid-connected storage under real time electricity pricing conditions</title><author>Dufo-López, Rodolfo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-63ea07e7e75c43a0e3b95ef57c38e45bc58de80486c7ad6de75ae95ebfdee1ec3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Batteries</topic><topic>Control</topic><topic>Cost engineering</topic><topic>Electric batteries</topic><topic>Electric power grids</topic><topic>Electricity storage</topic><topic>Marketing</topic><topic>Markets</topic><topic>Optimisation</topic><topic>Optimization</topic><topic>Real-time pricing (RTP) tariff</topic><topic>Storage systems</topic><topic>Tariffs</topic><topic>Time of use electricity pricing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dufo-López, Rodolfo</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Applied energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dufo-López, Rodolfo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimisation of size and control of grid-connected storage under real time electricity pricing conditions</atitle><jtitle>Applied energy</jtitle><date>2015-02-15</date><risdate>2015</risdate><volume>140</volume><spage>395</spage><epage>408</epage><pages>395-408</pages><issn>0306-2619</issn><eissn>1872-9118</eissn><abstract>•A model to optimise size and control of a grid-connected storage system is presented.•The optimisation minimises net present cost (NPC) and levelised cost of energy (LCE).•The electricity tariff considered is a real-time pricing (RTP).•Example of battery storage under a RTP based on Spanish electricity market pool.•High reduction in battery cost is needed to get same NPC as system without storage.
In this paper, a storage system has been considered to be added to a private electricity facility in order to reduce the electricity bill. This kind of system could make sense with a time-of-use (TOU) tariff (with two or three periods of different electricity price) or a real-time pricing (RTP) tariff (which can vary hourly depending on wholesale market), where each day, electricity is bought from the AC grid during off-peak hours (at low price) to store energy, and during on-peak hours (at high price), the storage supplies the whole load or a part, avoiding the purchase of expensive electricity from the AC grid. A new optimisation model to obtain the best storage size and control of the charge–discharge process under RTP tariff has been developed, minimising the net present cost of the system. This methodology allows the electricity consumer to evaluate the profitability of adding storage. A case study of battery storage with a hypothetical hourly RTP tariff based on the Spanish electricity market pool of 2013 is shown. Considering the cost of batteries per kWh cycled expected in the near future (0.045€/kWhcycled), even the optimal storage size with the optimal control is not profitable compared to the system without storage. A much lower battery cost (0.0225€/kWhcycled) would be needed so that the storage system could be economically profitable. Considering a stretched RTP hourly pricing tariff (hourly prices higher than the average of each day multiplied by 1.3 and the lower ones by 0.7), the storage system with the costs expected in the near future (0.045€/kWhcycled) is profitable. We conclude that an hourly tariff that takes the base of the Spanish electricity market pool is not adequate to stimulate this technology, as the difference between maximum and minimum prices during the day is too low to compensate the capital cost plus replacement, operation, and maintenance of the storage system. In other countries, with much higher difference between minimum and maximum electricity price of the day, present battery cost could make it profitable.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apenergy.2014.12.012</doi><tpages>14</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0306-2619 |
ispartof | Applied energy, 2015-02, Vol.140, p.395-408 |
issn | 0306-2619 1872-9118 |
language | eng |
recordid | cdi_proquest_miscellaneous_1669878164 |
source | Elsevier ScienceDirect Journals |
subjects | Batteries Control Cost engineering Electric batteries Electric power grids Electricity storage Marketing Markets Optimisation Optimization Real-time pricing (RTP) tariff Storage systems Tariffs Time of use electricity pricing |
title | Optimisation of size and control of grid-connected storage under real time electricity pricing conditions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T11%3A51%3A03IST&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=Optimisation%20of%20size%20and%20control%20of%20grid-connected%20storage%20under%20real%20time%20electricity%20pricing%20conditions&rft.jtitle=Applied%20energy&rft.au=Dufo-L%C3%B3pez,%20Rodolfo&rft.date=2015-02-15&rft.volume=140&rft.spage=395&rft.epage=408&rft.pages=395-408&rft.issn=0306-2619&rft.eissn=1872-9118&rft_id=info:doi/10.1016/j.apenergy.2014.12.012&rft_dat=%3Cproquest_cross%3E1669878164%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=1660429662&rft_id=info:pmid/&rft_els_id=S0306261914012616&rfr_iscdi=true |