Optimal Capacitor Allocation in a Distribution System Considering Operation Costs
This paper proposes the planning method for capacitor installation in a distribution system to reduce the installation costs and minimize the loss of electrical energy. The expected lifetime of devices with moving parts depends on the total number of operations, which affects the replacement period...
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| Veröffentlicht in: | IEEE transactions on power systems 2009-02, Vol.24 (1), p.462-468 |
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| creator | Park, Jong-Young Sohn, Jin-Man Park, Jong-Keun |
| description | This paper proposes the planning method for capacitor installation in a distribution system to reduce the installation costs and minimize the loss of electrical energy. The expected lifetime of devices with moving parts depends on the total number of operations, which affects the replacement period and replacement decisions for aging equipment under a limited budget. In this paper, the expected device lifetimes are included in the formulation, and the optimal operation status of the devices is determined using a genetic algorithm. The optimal numbers and locations for capacitor installation are determined based on the optimal operation status. Simulation results in a 69-bus distribution system show that the proposed technique performs better than conventional methods. |
| doi_str_mv | 10.1109/TPWRS.2008.2009489 |
| format | Article |
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The expected lifetime of devices with moving parts depends on the total number of operations, which affects the replacement period and replacement decisions for aging equipment under a limited budget. In this paper, the expected device lifetimes are included in the formulation, and the optimal operation status of the devices is determined using a genetic algorithm. The optimal numbers and locations for capacitor installation are determined based on the optimal operation status. Simulation results in a 69-bus distribution system show that the proposed technique performs better than conventional methods.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2008.2009489</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Aging ; Allocations ; Budgeting ; Capacitors ; Computer simulation ; Cost function ; Devices ; Distribution system ; Educational technology ; Electric power generation ; Energy conservation ; genetic algorithm ; Genetic algorithms ; Investments ; operation cost ; Optimization ; planning ; Power system planning ; Process planning ; shunt capacitor ; Transformers ; under-load tap changer ; Voltage</subject><ispartof>IEEE transactions on power systems, 2009-02, Vol.24 (1), p.462-468</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-5fbed97726821144dfa1fc40be9b43f394c7d5af34ba926d1c9805b6460cc5ea3</citedby><cites>FETCH-LOGICAL-c358t-5fbed97726821144dfa1fc40be9b43f394c7d5af34ba926d1c9805b6460cc5ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4762168$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4762168$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Park, Jong-Young</creatorcontrib><creatorcontrib>Sohn, Jin-Man</creatorcontrib><creatorcontrib>Park, Jong-Keun</creatorcontrib><title>Optimal Capacitor Allocation in a Distribution System Considering Operation Costs</title><title>IEEE transactions on power systems</title><addtitle>TPWRS</addtitle><description>This paper proposes the planning method for capacitor installation in a distribution system to reduce the installation costs and minimize the loss of electrical energy. The expected lifetime of devices with moving parts depends on the total number of operations, which affects the replacement period and replacement decisions for aging equipment under a limited budget. In this paper, the expected device lifetimes are included in the formulation, and the optimal operation status of the devices is determined using a genetic algorithm. The optimal numbers and locations for capacitor installation are determined based on the optimal operation status. Simulation results in a 69-bus distribution system show that the proposed technique performs better than conventional methods.</description><subject>Aging</subject><subject>Allocations</subject><subject>Budgeting</subject><subject>Capacitors</subject><subject>Computer simulation</subject><subject>Cost function</subject><subject>Devices</subject><subject>Distribution system</subject><subject>Educational technology</subject><subject>Electric power generation</subject><subject>Energy conservation</subject><subject>genetic algorithm</subject><subject>Genetic algorithms</subject><subject>Investments</subject><subject>operation cost</subject><subject>Optimization</subject><subject>planning</subject><subject>Power system planning</subject><subject>Process planning</subject><subject>shunt capacitor</subject><subject>Transformers</subject><subject>under-load tap changer</subject><subject>Voltage</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kbtOwzAUhi0EEqXwArBEDIglxY4vsccqXKVKBVrEaDmOg1ylcbCdoW9PehEDA4uP5PP9RzrnA-ASwQlCUNwtXz_fF5MMQr59BOHiCIwQpTyFLBfHYAQ5pykXFJ6CsxBWEEI2NEbgbd5Fu1ZNUqhOaRudT6ZN47SK1rWJbROV3NsQvS373c9iE6JZJ4Vrg62Mt-1XMu-M3-OFCzGcg5NaNcFcHOoYfDw-LIvndDZ_eimms1RjymNK69JUIs8zxjOECKlqhWpNYGlESXCNBdF5RVWNSalExiqkBYe0ZIRBralReAxu9nM77757E6Jc26BN06jWuD5ITGgmMMoH8PZfELEcZTlimA3o9R905XrfDmtITjkTjAk6QNke0t6F4E0tOz-c0G8kgnJrQ-5syK0NebAxhK72IWuM-Q2QnGWIcfwDnlCGbQ</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Park, Jong-Young</creator><creator>Sohn, Jin-Man</creator><creator>Park, Jong-Keun</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>20090201</creationdate><title>Optimal Capacitor Allocation in a Distribution System Considering Operation Costs</title><author>Park, Jong-Young ; Sohn, Jin-Man ; Park, Jong-Keun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-5fbed97726821144dfa1fc40be9b43f394c7d5af34ba926d1c9805b6460cc5ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aging</topic><topic>Allocations</topic><topic>Budgeting</topic><topic>Capacitors</topic><topic>Computer simulation</topic><topic>Cost function</topic><topic>Devices</topic><topic>Distribution system</topic><topic>Educational technology</topic><topic>Electric power generation</topic><topic>Energy conservation</topic><topic>genetic algorithm</topic><topic>Genetic algorithms</topic><topic>Investments</topic><topic>operation cost</topic><topic>Optimization</topic><topic>planning</topic><topic>Power system planning</topic><topic>Process planning</topic><topic>shunt capacitor</topic><topic>Transformers</topic><topic>under-load tap changer</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Jong-Young</creatorcontrib><creatorcontrib>Sohn, Jin-Man</creatorcontrib><creatorcontrib>Park, Jong-Keun</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on power systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Park, Jong-Young</au><au>Sohn, Jin-Man</au><au>Park, Jong-Keun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal Capacitor Allocation in a Distribution System Considering Operation Costs</atitle><jtitle>IEEE transactions on power systems</jtitle><stitle>TPWRS</stitle><date>2009-02-01</date><risdate>2009</risdate><volume>24</volume><issue>1</issue><spage>462</spage><epage>468</epage><pages>462-468</pages><issn>0885-8950</issn><eissn>1558-0679</eissn><coden>ITPSEG</coden><abstract>This paper proposes the planning method for capacitor installation in a distribution system to reduce the installation costs and minimize the loss of electrical energy. The expected lifetime of devices with moving parts depends on the total number of operations, which affects the replacement period and replacement decisions for aging equipment under a limited budget. In this paper, the expected device lifetimes are included in the formulation, and the optimal operation status of the devices is determined using a genetic algorithm. The optimal numbers and locations for capacitor installation are determined based on the optimal operation status. Simulation results in a 69-bus distribution system show that the proposed technique performs better than conventional methods.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPWRS.2008.2009489</doi><tpages>7</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | Aging Allocations Budgeting Capacitors Computer simulation Cost function Devices Distribution system Educational technology Electric power generation Energy conservation genetic algorithm Genetic algorithms Investments operation cost Optimization planning Power system planning Process planning shunt capacitor Transformers under-load tap changer Voltage |
| title | Optimal Capacitor Allocation in a Distribution System Considering Operation Costs |
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