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Bidding strategy for pumped-storage plant in pool-based electricity market
This paper develops optimal bidding strategies for a pumped-storage plant in a pool-based electricity market. In the competitive regime, when compared to simple hydro electric generator, profit of the pumped-storage plant is maximized by operating it as a generator when market clearing price is high...
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Published in: | Energy conversion and management 2010-03, Vol.51 (3), p.572-579 |
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container_title | Energy conversion and management |
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creator | Kanakasabapathy, P. Shanti Swarup, K. |
description | This paper develops optimal bidding strategies for a pumped-storage plant in a pool-based electricity market. In the competitive regime, when compared to simple hydro electric generator, profit of the pumped-storage plant is maximized by operating it as a generator when market clearing price is high and as a pump when the price is low. Based on forecasted hourly market clearing price, a multistage looping algorithm to maximize the profit of a pumped-storage plant is developed, considering both the spinning and non-spinning reserve bids and meeting the technical operating constraints of the plant. The proposed model is adaptive for the nonlinear three-dimensional relationship between the power produced, the energy stored, and the head of the associated reservoir. Different operating cycles for a realistic pumped-storage plant are considered and simulation results are reported and compared. |
doi_str_mv | 10.1016/j.enconman.2009.11.001 |
format | article |
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In the competitive regime, when compared to simple hydro electric generator, profit of the pumped-storage plant is maximized by operating it as a generator when market clearing price is high and as a pump when the price is low. Based on forecasted hourly market clearing price, a multistage looping algorithm to maximize the profit of a pumped-storage plant is developed, considering both the spinning and non-spinning reserve bids and meeting the technical operating constraints of the plant. The proposed model is adaptive for the nonlinear three-dimensional relationship between the power produced, the energy stored, and the head of the associated reservoir. Different operating cycles for a realistic pumped-storage plant are considered and simulation results are reported and compared.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2009.11.001</identifier><identifier>CODEN: ECMADL</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Competitive bidding strategies ; Economic data ; Electric energy ; Electricity markets ; Energy ; Energy economics ; Exact sciences and technology ; General, economic and professional studies ; Methodology. 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Different operating cycles for a realistic pumped-storage plant are considered and simulation results are reported and compared.</description><subject>Applied sciences</subject><subject>Competitive bidding strategies</subject><subject>Economic data</subject><subject>Electric energy</subject><subject>Electricity markets</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Methodology. Modelling</subject><subject>Natural energy</subject><subject>Optimal self-scheduling</subject><subject>Pumped-storage</subject><subject>Restructured power systems</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkD1v2zAQhokgBeK4_QuBlnaTckfRErW1DdImgYEs7Uzw42zQkUWVpAv435eG06xZ7pb34-5h7AahQcDudtfQZMO011PDAYYGsQHAC7ZA2Q8157y_ZAvAoavlAOKKXae0A4B2Bd2CPX33zvlpW6UcdabtsdqEWM2H_UyuTjlEvaVqHvWUKz9VcwhjbXQiV9FINkdvfT5Wex1fKH9kHzZ6TPTpdS_Z7x_3v-4e6vXzz8e7b-vaChC5Nk5yEtSW0RtjSWgrnZY911agG2RnpTFd-cyiECtjgINEGKzBXvYW2nbJvpxz5xj-HChltffJ0liOpHBIqu1ajsi7d4UcW4BeYhF2Z6GNIaVIGzVHX546KgR1Yqx26j9jdWKsEFVhXIyfXxt0snrcRD1Zn97cnLdcIJ4u-XrWUeHy11NUyfqSSM7HglG54N-r-gefS5XC</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Kanakasabapathy, P.</creator><creator>Shanti Swarup, K.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope></search><sort><creationdate>20100301</creationdate><title>Bidding strategy for pumped-storage plant in pool-based electricity market</title><author>Kanakasabapathy, P. ; Shanti Swarup, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-bd82e4e32e47bbce4ac8da872ac41d986c8bb6101c1445bb0208109cb1787c033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Competitive bidding strategies</topic><topic>Economic data</topic><topic>Electric energy</topic><topic>Electricity markets</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Methodology. Modelling</topic><topic>Natural energy</topic><topic>Optimal self-scheduling</topic><topic>Pumped-storage</topic><topic>Restructured power systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kanakasabapathy, P.</creatorcontrib><creatorcontrib>Shanti Swarup, K.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kanakasabapathy, P.</au><au>Shanti Swarup, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bidding strategy for pumped-storage plant in pool-based electricity market</atitle><jtitle>Energy conversion and management</jtitle><date>2010-03-01</date><risdate>2010</risdate><volume>51</volume><issue>3</issue><spage>572</spage><epage>579</epage><pages>572-579</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><coden>ECMADL</coden><abstract>This paper develops optimal bidding strategies for a pumped-storage plant in a pool-based electricity market. In the competitive regime, when compared to simple hydro electric generator, profit of the pumped-storage plant is maximized by operating it as a generator when market clearing price is high and as a pump when the price is low. Based on forecasted hourly market clearing price, a multistage looping algorithm to maximize the profit of a pumped-storage plant is developed, considering both the spinning and non-spinning reserve bids and meeting the technical operating constraints of the plant. The proposed model is adaptive for the nonlinear three-dimensional relationship between the power produced, the energy stored, and the head of the associated reservoir. Different operating cycles for a realistic pumped-storage plant are considered and simulation results are reported and compared.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2009.11.001</doi><tpages>8</tpages></addata></record> |
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source | ScienceDirect Journals |
subjects | Applied sciences Competitive bidding strategies Economic data Electric energy Electricity markets Energy Energy economics Exact sciences and technology General, economic and professional studies Methodology. Modelling Natural energy Optimal self-scheduling Pumped-storage Restructured power systems |
title | Bidding strategy for pumped-storage plant in pool-based electricity market |
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