Optimal reserve capacity allocation with consideration of customer reliability requirements
An algorithm for determining optimal reserve capacity in a power market is presented in this paper. Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated envi...
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| Veröffentlicht in: | Energy (Oxford) 2010-09, Vol.35 (9), p.3883-3890 |
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| container_title | Energy (Oxford) |
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| creator | Najafi, M. Ehsan, M. Fotuhi-Firuzabad, M. Akhavein, A. Afshar, K. |
| description | An algorithm for determining optimal reserve capacity in a power market is presented in this paper. Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers’ reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS) for scenarios generation. Unlike previous methods in which a constant value is assumed for cost of the energy not supplied, a flexible value for this parameter is applied which shows an important effect in the evaluation results. The performance of the proposed method has been examined on the IEEE-Reliability Test System (IEEE-RTS). |
| doi_str_mv | 10.1016/j.energy.2010.05.044 |
| format | Article |
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Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers’ reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS) for scenarios generation. Unlike previous methods in which a constant value is assumed for cost of the energy not supplied, a flexible value for this parameter is applied which shows an important effect in the evaluation results. The performance of the proposed method has been examined on the IEEE-Reliability Test System (IEEE-RTS).</description><identifier>ISSN: 0360-5442</identifier><identifier>DOI: 10.1016/j.energy.2010.05.044</identifier><identifier>CODEN: ENEYDS</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Algorithms ; Applied sciences ; Computer simulation ; Cost-benefit trade off ; Economic data ; Electric energy ; Energy ; Energy economics ; Exact sciences and technology ; Flexible Value of Lost Load (FVOLL) ; General, economic and professional studies ; Interruptible Loads (ILs) ; Marketing ; Markets ; Methodology. Modelling ; Monte Carlo methods ; Optimal reserve capacity ; Optimization ; Outages ; Reliability requirements ; Reserve capacity ; Stochastic capacity allocation</subject><ispartof>Energy (Oxford), 2010-09, Vol.35 (9), p.3883-3890</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c401t-370e7ac35a8bd9f31d7f29bf7d3689945a4c48eb4bde588bc7576d3a264cf1db3</citedby><cites>FETCH-LOGICAL-c401t-370e7ac35a8bd9f31d7f29bf7d3689945a4c48eb4bde588bc7576d3a264cf1db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360544210003142$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23116854$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Najafi, M.</creatorcontrib><creatorcontrib>Ehsan, M.</creatorcontrib><creatorcontrib>Fotuhi-Firuzabad, M.</creatorcontrib><creatorcontrib>Akhavein, A.</creatorcontrib><creatorcontrib>Afshar, K.</creatorcontrib><title>Optimal reserve capacity allocation with consideration of customer reliability requirements</title><title>Energy (Oxford)</title><description>An algorithm for determining optimal reserve capacity in a power market is presented in this paper. Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers’ reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS) for scenarios generation. Unlike previous methods in which a constant value is assumed for cost of the energy not supplied, a flexible value for this parameter is applied which shows an important effect in the evaluation results. The performance of the proposed method has been examined on the IEEE-Reliability Test System (IEEE-RTS).</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Cost-benefit trade off</subject><subject>Economic data</subject><subject>Electric energy</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Exact sciences and technology</subject><subject>Flexible Value of Lost Load (FVOLL)</subject><subject>General, economic and professional studies</subject><subject>Interruptible Loads (ILs)</subject><subject>Marketing</subject><subject>Markets</subject><subject>Methodology. Modelling</subject><subject>Monte Carlo methods</subject><subject>Optimal reserve capacity</subject><subject>Optimization</subject><subject>Outages</subject><subject>Reliability requirements</subject><subject>Reserve capacity</subject><subject>Stochastic capacity allocation</subject><issn>0360-5442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhjOABBT-AUMWBEuLHdtxsiChii-pEgtMDJZzvoArNy62W9R_j6tUjNxy0ul5705PUVxSMqOE1rfLGQ4YPneziuQRETPC-VFxSlhNpoLz6qQ4i3FJCBFN254WH6_rZFfalQEjhi2WoNcabNqV2jkPOlk_lD82fZXgh2gNhnHk-xI2MfkVhhx1VnfW7VMBvzc24AqHFM-L4167iBeHPineHx_e5s_TxevTy_x-MQVOaJoySVBqYEI3nWl7Ro3sq7brpWF1_pELzYE32PHOoGiaDqSQtWG6qjn01HRsUlyPe9fBf28wJrWyEdA5PaDfRNXShjDJqMzkzb8klVLSXKLNKB9RCD7GgL1ahywq7BQlam9aLdVoWu1NKyJUNp1jV4cLOoJ2fdAD2PiXrRildSP23N3IYRaztRhUBIsDoMn2ICnj7f-HfgGJJJp5</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Najafi, M.</creator><creator>Ehsan, M.</creator><creator>Fotuhi-Firuzabad, M.</creator><creator>Akhavein, A.</creator><creator>Afshar, K.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20100901</creationdate><title>Optimal reserve capacity allocation with consideration of customer reliability requirements</title><author>Najafi, M. ; Ehsan, M. ; Fotuhi-Firuzabad, M. ; Akhavein, A. ; Afshar, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c401t-370e7ac35a8bd9f31d7f29bf7d3689945a4c48eb4bde588bc7576d3a264cf1db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Computer simulation</topic><topic>Cost-benefit trade off</topic><topic>Economic data</topic><topic>Electric energy</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Exact sciences and technology</topic><topic>Flexible Value of Lost Load (FVOLL)</topic><topic>General, economic and professional studies</topic><topic>Interruptible Loads (ILs)</topic><topic>Marketing</topic><topic>Markets</topic><topic>Methodology. 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Optimization process in the proposed algorithm is based on the cost-benefit trade off. Market clearance is executed with consideration of uncertainties of power system components in an aggregated environment. It is assumed that both generating units and interruptible loads participate in the reserve market. In addition, customers’ reliability requirements are considered as constraints for decision making process of ISO. The rendered method considers random outages of generating units and transmission lines and determined outage of interruptible loads and employs Monte Carlo Simulation (MCS) for scenarios generation. Unlike previous methods in which a constant value is assumed for cost of the energy not supplied, a flexible value for this parameter is applied which shows an important effect in the evaluation results. 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| ispartof | Energy (Oxford), 2010-09, Vol.35 (9), p.3883-3890 |
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| subjects | Algorithms Applied sciences Computer simulation Cost-benefit trade off Economic data Electric energy Energy Energy economics Exact sciences and technology Flexible Value of Lost Load (FVOLL) General, economic and professional studies Interruptible Loads (ILs) Marketing Markets Methodology. Modelling Monte Carlo methods Optimal reserve capacity Optimization Outages Reliability requirements Reserve capacity Stochastic capacity allocation |
| title | Optimal reserve capacity allocation with consideration of customer reliability requirements |
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