A heuristic-based approach for reliability importance assessment of energy producers
Reliability of energy supply is one of the most important issues of service quality. On one hand, customers usually have different expectations for service reliability and price. On the other hand, providing different level of reliability at load points is a challenge for system operators. In order...
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description | Reliability of energy supply is one of the most important issues of service quality. On one hand, customers usually have different expectations for service reliability and price. On the other hand, providing different level of reliability at load points is a challenge for system operators. In order to take reasonable decisions and obviate reliability implementation difficulties, market players need to know impacts of their assets on system and load-point reliabilities. One tool to specify reliability impacts of assets is the criticality or reliability importance measure by which system components can be ranked based on their effect on reliability. Conventional methods for determination of reliability importance are essentially on the basis of risk sensitivity analysis and hence, impose prohibitive calculation burden in large power systems. An approach is proposed in this paper to determine reliability importance of energy producers from perspective of consumers or distribution companies in a composite generation and transmission system. In the presented method, while avoiding immense computational burden, the energy producers are ranked based on their rating, unavailability and impact on power flows in the lines connecting to the considered load points. Study results on the IEEE reliability test system show successful application of the proposed method.
► Required reliability level at load points is a concern in modern power systems. ► It is important to assess reliability importance of energy producers or generators. ► Generators can be ranked based on their impacts on power flow to a selected area. ► Ranking of generators is an efficient tool to assess their reliability importance. |
doi_str_mv | 10.1016/j.enpol.2010.12.030 |
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► Required reliability level at load points is a concern in modern power systems. ► It is important to assess reliability importance of energy producers or generators. ► Generators can be ranked based on their impacts on power flow to a selected area. ► Ranking of generators is an efficient tool to assess their reliability importance.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2010.12.030</identifier><identifier>CODEN: ENPYAC</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Assessments ; assets ; business enterprises ; Component ranking ; Component ranking Reliability importance Energy producers ; consumers (people) ; Decisions ; Economic data ; Electric energy ; Energy ; Energy economics ; Energy industry ; Energy policy ; Energy producers ; Evaluation ; Exact sciences and technology ; General, economic and professional studies ; Heuristic ; Markets ; Methodology. Modelling ; Power generation ; Power supply ; prices ; Quality ; Quality of service ; Reliability ; Reliability importance ; Risk ; Sensitivity analysis ; Strategic planning ; Studies</subject><ispartof>Energy policy, 2011-03, Vol.39 (3), p.1562-1568</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Science Ltd. Mar 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c636t-bb26b6fb744377c18c23ad7cfe5543fa3729f7b534d0037a4fa690a37e52680e3</citedby><cites>FETCH-LOGICAL-c636t-bb26b6fb744377c18c23ad7cfe5543fa3729f7b534d0037a4fa690a37e52680e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enpol.2010.12.030$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4008,27866,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23956068$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeeenepol/v_3a39_3ay_3a2011_3ai_3a3_3ap_3a1562-1568.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Akhavein, A.</creatorcontrib><creatorcontrib>Fotuhi Firuzabad, M.</creatorcontrib><title>A heuristic-based approach for reliability importance assessment of energy producers</title><title>Energy policy</title><description>Reliability of energy supply is one of the most important issues of service quality. On one hand, customers usually have different expectations for service reliability and price. On the other hand, providing different level of reliability at load points is a challenge for system operators. In order to take reasonable decisions and obviate reliability implementation difficulties, market players need to know impacts of their assets on system and load-point reliabilities. One tool to specify reliability impacts of assets is the criticality or reliability importance measure by which system components can be ranked based on their effect on reliability. Conventional methods for determination of reliability importance are essentially on the basis of risk sensitivity analysis and hence, impose prohibitive calculation burden in large power systems. An approach is proposed in this paper to determine reliability importance of energy producers from perspective of consumers or distribution companies in a composite generation and transmission system. In the presented method, while avoiding immense computational burden, the energy producers are ranked based on their rating, unavailability and impact on power flows in the lines connecting to the considered load points. Study results on the IEEE reliability test system show successful application of the proposed method.
► Required reliability level at load points is a concern in modern power systems. ► It is important to assess reliability importance of energy producers or generators. ► Generators can be ranked based on their impacts on power flow to a selected area. ► Ranking of generators is an efficient tool to assess their reliability importance.</description><subject>Applied sciences</subject><subject>Assessments</subject><subject>assets</subject><subject>business enterprises</subject><subject>Component ranking</subject><subject>Component ranking Reliability importance Energy producers</subject><subject>consumers (people)</subject><subject>Decisions</subject><subject>Economic data</subject><subject>Electric energy</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Energy industry</subject><subject>Energy policy</subject><subject>Energy producers</subject><subject>Evaluation</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Heuristic</subject><subject>Markets</subject><subject>Methodology. Modelling</subject><subject>Power generation</subject><subject>Power supply</subject><subject>prices</subject><subject>Quality</subject><subject>Quality of service</subject><subject>Reliability</subject><subject>Reliability importance</subject><subject>Risk</subject><subject>Sensitivity analysis</subject><subject>Strategic planning</subject><subject>Studies</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>7TQ</sourceid><recordid>eNqFkk1r3DAQhk1podu0v6CHmkJpL97qy5J86CGEfsFCD03OQpZHWS225Up2YP99x3HIoYdUMBIMz7zS6J2ieEvJnhIqP5_2ME6x3zOyZtiecPKs2FGteCWVUs-LHWZoJRitXxavcj4RQoRuxK64viyPsKSQ5-Cq1mboSjtNKVp3LH1MZYI-2Db0YT6XYZhimu3ooLQ5Q84DjHMZfQkjpNtziWXd4iDl18ULb_sMbx7Oi-Lm29frqx_V4df3n1eXh8pJLueqbZlspW-VEFwpR7Vj3HbKeahrwb3lijVetTUXHSFcWeGtbAimoWZSE-AXxcdNF2_-s0CezRCyg763I8Qlm4ZqIqSQ8r-krhVlgjCG5KcnSYr_SYXGb0X0_T_oKS5pxI6NlihHtV71-Aa5FHNO4M2UwmDT2VBiVvPMydybZ1bzDGUGrcKqw1aVYAL3WAK4RljhO8Mtb3A7Y2AlxSOsOYwJg9aSGdy0Oc4Dyn14eKnNzvY-oYkhP8oy3tSSSI3cu43zNhp7i2Nhbn6jusR5UaS57_nLRgD6ehcgmewC4Eh0IYGbTRfDk439Bf1M0mI</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Akhavein, A.</creator><creator>Fotuhi Firuzabad, M.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>FBQ</scope><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope><scope>7SU</scope><scope>C1K</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20110301</creationdate><title>A heuristic-based approach for reliability importance assessment of energy producers</title><author>Akhavein, A. ; Fotuhi Firuzabad, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c636t-bb26b6fb744377c18c23ad7cfe5543fa3729f7b534d0037a4fa690a37e52680e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Assessments</topic><topic>assets</topic><topic>business enterprises</topic><topic>Component ranking</topic><topic>Component ranking Reliability importance Energy producers</topic><topic>consumers (people)</topic><topic>Decisions</topic><topic>Economic data</topic><topic>Electric energy</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Energy industry</topic><topic>Energy policy</topic><topic>Energy producers</topic><topic>Evaluation</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Heuristic</topic><topic>Markets</topic><topic>Methodology. Modelling</topic><topic>Power generation</topic><topic>Power supply</topic><topic>prices</topic><topic>Quality</topic><topic>Quality of service</topic><topic>Reliability</topic><topic>Reliability importance</topic><topic>Risk</topic><topic>Sensitivity analysis</topic><topic>Strategic planning</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akhavein, A.</creatorcontrib><creatorcontrib>Fotuhi Firuzabad, M.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environmental Engineering Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akhavein, A.</au><au>Fotuhi Firuzabad, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A heuristic-based approach for reliability importance assessment of energy producers</atitle><jtitle>Energy policy</jtitle><date>2011-03-01</date><risdate>2011</risdate><volume>39</volume><issue>3</issue><spage>1562</spage><epage>1568</epage><pages>1562-1568</pages><issn>0301-4215</issn><eissn>1873-6777</eissn><coden>ENPYAC</coden><abstract>Reliability of energy supply is one of the most important issues of service quality. On one hand, customers usually have different expectations for service reliability and price. On the other hand, providing different level of reliability at load points is a challenge for system operators. In order to take reasonable decisions and obviate reliability implementation difficulties, market players need to know impacts of their assets on system and load-point reliabilities. One tool to specify reliability impacts of assets is the criticality or reliability importance measure by which system components can be ranked based on their effect on reliability. Conventional methods for determination of reliability importance are essentially on the basis of risk sensitivity analysis and hence, impose prohibitive calculation burden in large power systems. An approach is proposed in this paper to determine reliability importance of energy producers from perspective of consumers or distribution companies in a composite generation and transmission system. In the presented method, while avoiding immense computational burden, the energy producers are ranked based on their rating, unavailability and impact on power flows in the lines connecting to the considered load points. Study results on the IEEE reliability test system show successful application of the proposed method.
► Required reliability level at load points is a concern in modern power systems. ► It is important to assess reliability importance of energy producers or generators. ► Generators can be ranked based on their impacts on power flow to a selected area. ► Ranking of generators is an efficient tool to assess their reliability importance.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2010.12.030</doi><tpages>7</tpages></addata></record> |
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subjects | Applied sciences Assessments assets business enterprises Component ranking Component ranking Reliability importance Energy producers consumers (people) Decisions Economic data Electric energy Energy Energy economics Energy industry Energy policy Energy producers Evaluation Exact sciences and technology General, economic and professional studies Heuristic Markets Methodology. Modelling Power generation Power supply prices Quality Quality of service Reliability Reliability importance Risk Sensitivity analysis Strategic planning Studies |
title | A heuristic-based approach for reliability importance assessment of energy producers |
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