Selection of Installed Capacities for Hydroelectric Power Plants in Series
The paper presents a procedure for selecting the installed capacities of several interdependent power plants to be built in series on a river, taking into account the stochasticity of the river flows. It is shown that the capacity of a power plant should be increased until the marginal construction...
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| Veröffentlicht in: | IEEE transactions on power apparatus and systems 1984-09, Vol.PAS-103 (9), p.2699-2707 |
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| container_end_page | 2707 |
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| container_issue | 9 |
| container_start_page | 2699 |
| container_title | IEEE transactions on power apparatus and systems |
| container_volume | PAS-103 |
| creator | Turgeon, Andre |
| description | The paper presents a procedure for selecting the installed capacities of several interdependent power plants to be built in series on a river, taking into account the stochasticity of the river flows. It is shown that the capacity of a power plant should be increased until the marginal construction cost exceeds the expected marginal benefit from the firm and secondary power produced. The expected benefit is determined by performing Monte Carlo simulations of the equipment operation. The operating policy used in the simulation is determined by straightforward dynamic programming if n, the number of reservoirs, is less than or equal to four. Otherwise, the operating problem is decomposed into n-i problems of two variables each, which are solved by dynamic programming. Numerical results are presented. |
| doi_str_mv | 10.1109/TPAS.1984.318243 |
| format | Article |
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It is shown that the capacity of a power plant should be increased until the marginal construction cost exceeds the expected marginal benefit from the firm and secondary power produced. The expected benefit is determined by performing Monte Carlo simulations of the equipment operation. The operating policy used in the simulation is determined by straightforward dynamic programming if n, the number of reservoirs, is less than or equal to four. Otherwise, the operating problem is decomposed into n-i problems of two variables each, which are solved by dynamic programming. Numerical results are presented.</description><identifier>ISSN: 0018-9510</identifier><identifier>EISSN: 2995-6323</identifier><identifier>DOI: 10.1109/TPAS.1984.318243</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Buildings ; Chapters ; Costs ; Dynamic programming ; Electric power plants ; Electrical engineering. 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It is shown that the capacity of a power plant should be increased until the marginal construction cost exceeds the expected marginal benefit from the firm and secondary power produced. The expected benefit is determined by performing Monte Carlo simulations of the equipment operation. The operating policy used in the simulation is determined by straightforward dynamic programming if n, the number of reservoirs, is less than or equal to four. Otherwise, the operating problem is decomposed into n-i problems of two variables each, which are solved by dynamic programming. Numerical results are presented.</description><subject>Applied sciences</subject><subject>Buildings</subject><subject>Chapters</subject><subject>Costs</subject><subject>Dynamic programming</subject><subject>Electric power plants</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Hydroelectric power plants</subject><subject>Power & Energy Society</subject><subject>Power generation</subject><subject>Printing</subject><subject>Production</subject><subject>Reservoirs</subject><subject>Rivers</subject><issn>0018-9510</issn><issn>2995-6323</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1984</creationdate><recordtype>article</recordtype><recordid>eNo9kMFKAzEQQIMoWKt3wUsOXrfOJNl0cyxFbaVgofW8pMkEIutuSRbEv3frSk9zmPeG4TF2jzBDBPO03y52MzSVmkmshJIXbCKMKQsthbxkEwCsClMiXLObnD8BJGjECXvbUUOuj13Lu8DXbe5t05DnS3u0LvaRMg9d4qsfn7o_MkXHt903Jb5tbNtnHlu-ozSAt-wq2CbT3f-cso-X5_1yVWzeX9fLxaZww1t9IUF6IQRCCVRR6bTDkoRH8KWzymk6mIMKc6vmYC3KgxCgfTDBkyWDpZFTBuNdl7qcE4X6mOKXTT81Qn1qUZ9a1KcW9dhiUB5H5Wizs01ItnUxn72q0loZMWAPIxaJ6LxViKKaa_kL8BNn2g</recordid><startdate>198409</startdate><enddate>198409</enddate><creator>Turgeon, Andre</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>198409</creationdate><title>Selection of Installed Capacities for Hydroelectric Power Plants in Series</title><author>Turgeon, Andre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c243t-303d2221050e8e5c6c15e2d10d5ca4c6eb9b4f7a470aa13b2206df9fdeae91593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1984</creationdate><topic>Applied sciences</topic><topic>Buildings</topic><topic>Chapters</topic><topic>Costs</topic><topic>Dynamic programming</topic><topic>Electric power plants</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Hydroelectric power plants</topic><topic>Power & Energy Society</topic><topic>Power generation</topic><topic>Printing</topic><topic>Production</topic><topic>Reservoirs</topic><topic>Rivers</topic><toplevel>online_resources</toplevel><creatorcontrib>Turgeon, Andre</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on power apparatus and systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Turgeon, Andre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selection of Installed Capacities for Hydroelectric Power Plants in Series</atitle><jtitle>IEEE transactions on power apparatus and systems</jtitle><stitle>T-PAS</stitle><date>1984-09</date><risdate>1984</risdate><volume>PAS-103</volume><issue>9</issue><spage>2699</spage><epage>2707</epage><pages>2699-2707</pages><issn>0018-9510</issn><eissn>2995-6323</eissn><abstract>The paper presents a procedure for selecting the installed capacities of several interdependent power plants to be built in series on a river, taking into account the stochasticity of the river flows. It is shown that the capacity of a power plant should be increased until the marginal construction cost exceeds the expected marginal benefit from the firm and secondary power produced. The expected benefit is determined by performing Monte Carlo simulations of the equipment operation. The operating policy used in the simulation is determined by straightforward dynamic programming if n, the number of reservoirs, is less than or equal to four. Otherwise, the operating problem is decomposed into n-i problems of two variables each, which are solved by dynamic programming. Numerical results are presented.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TPAS.1984.318243</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 0018-9510 |
| ispartof | IEEE transactions on power apparatus and systems, 1984-09, Vol.PAS-103 (9), p.2699-2707 |
| issn | 0018-9510 2995-6323 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TPAS_1984_318243 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Buildings Chapters Costs Dynamic programming Electric power plants Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Hydroelectric power plants Power & Energy Society Power generation Printing Production Reservoirs Rivers |
| title | Selection of Installed Capacities for Hydroelectric Power Plants in Series |
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