Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach
The paper presents a new method for determining the optimal operating policy of a power system of several reservoirs in series. The method, called optimal reservoir trajectory (ORT), is based on the following fact: Raising the level of a reservoir feeding a power plant is profitable as long as the g...
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description | The paper presents a new method for determining the optimal operating policy of a power system of several reservoirs in series. The method, called optimal reservoir trajectory (ORT), is based on the following fact: Raising the level of a reservoir feeding a power plant is profitable as long as the gain due to the higher head is greater than the loss due to the additional spillage. There consequently exists a reservoir level at time t at which the expected energy generation is maximized. The task of ORT is to find this level and use it to operate the reservoir. The problem is more complicated for several reservoirs in series since the optimal level of each reservoir is a function of the levels of all the other reservoirs. The paper shows how to solve this problem and presents the results obtained for systems of two, three, and seven reservoirs. The results for the systems of two and three reservoirs are compared with those obtained with stochastic dynamic programming. |
doi_str_mv | 10.1029/2005WR004619 |
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The method, called optimal reservoir trajectory (ORT), is based on the following fact: Raising the level of a reservoir feeding a power plant is profitable as long as the gain due to the higher head is greater than the loss due to the additional spillage. There consequently exists a reservoir level at time t at which the expected energy generation is maximized. The task of ORT is to find this level and use it to operate the reservoir. The problem is more complicated for several reservoirs in series since the optimal level of each reservoir is a function of the levels of all the other reservoirs. The paper shows how to solve this problem and presents the results obtained for systems of two, three, and seven reservoirs. The results for the systems of two and three reservoirs are compared with those obtained with stochastic dynamic programming.</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2005WR004619</identifier><language>eng</language><publisher>Blackwell Publishing Ltd</publisher><subject>optimization ; reservoirs ; stochastic</subject><ispartof>Water resources research, 2007-05, Vol.43 (5), p.n/a</ispartof><rights>Copyright 2007 by the American Geophysical Union.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3712-48943825fb3e8b021f303ccf95af0be5b2c0c8db5ecf03d39f2e11f6dcf115713</citedby><cites>FETCH-LOGICAL-a3712-48943825fb3e8b021f303ccf95af0be5b2c0c8db5ecf03d39f2e11f6dcf115713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2005WR004619$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2005WR004619$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,778,782,1414,11497,27907,27908,45557,45558,46451,46875</link.rule.ids></links><search><creatorcontrib>Turgeon, André</creatorcontrib><title>Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach</title><title>Water resources research</title><addtitle>Water Resour. Res</addtitle><description>The paper presents a new method for determining the optimal operating policy of a power system of several reservoirs in series. The method, called optimal reservoir trajectory (ORT), is based on the following fact: Raising the level of a reservoir feeding a power plant is profitable as long as the gain due to the higher head is greater than the loss due to the additional spillage. There consequently exists a reservoir level at time t at which the expected energy generation is maximized. The task of ORT is to find this level and use it to operate the reservoir. The problem is more complicated for several reservoirs in series since the optimal level of each reservoir is a function of the levels of all the other reservoirs. The paper shows how to solve this problem and presents the results obtained for systems of two, three, and seven reservoirs. The results for the systems of two and three reservoirs are compared with those obtained with stochastic dynamic programming.</description><subject>optimization</subject><subject>reservoirs</subject><subject>stochastic</subject><issn>0043-1397</issn><issn>1944-7973</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWP_c_AB78uRqJtlsNt6kaBVKhaq0J0M2TWh0a2qSqvXTu7qinjwNzPu9Gd5D6ADwMWAiTgjGbDLGuChBbKAeiKLIueB0E_XaJc2BCr6NdmJ8wBgKVvIeur9JXs9VTE5nfpncwr2r5PxT5m22WDXJBRNNePEutLIJX9ppdjs3Ha2a7BdIQT0YnXxYZ2q5DF7p-R7asqqJZv977qK7i_Pb_mU-vB5c9c-GuaIcSF5UoqAVYbampqoxAUsx1doKpiyuDauJxrqa1cxoi-mMCksMgC1n2gIwDnQXHXZ327fPKxOTXLioTdOoJ-NXURJMWMWBt-BRB-rgYwzGymVoY4S1BCw_S5R_S2xx2uGvrjHrf1k5GffHgMuCtK68c7mYzNuPS4VHWXLKmZyMBlKQ6bCcQiFH9ANSlYUG</recordid><startdate>200705</startdate><enddate>200705</enddate><creator>Turgeon, André</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>200705</creationdate><title>Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach</title><author>Turgeon, André</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3712-48943825fb3e8b021f303ccf95af0be5b2c0c8db5ecf03d39f2e11f6dcf115713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>optimization</topic><topic>reservoirs</topic><topic>stochastic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Turgeon, André</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Water resources research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Turgeon, André</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach</atitle><jtitle>Water resources research</jtitle><addtitle>Water Resour. Res</addtitle><date>2007-05</date><risdate>2007</risdate><volume>43</volume><issue>5</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>The paper presents a new method for determining the optimal operating policy of a power system of several reservoirs in series. The method, called optimal reservoir trajectory (ORT), is based on the following fact: Raising the level of a reservoir feeding a power plant is profitable as long as the gain due to the higher head is greater than the loss due to the additional spillage. There consequently exists a reservoir level at time t at which the expected energy generation is maximized. The task of ORT is to find this level and use it to operate the reservoir. The problem is more complicated for several reservoirs in series since the optimal level of each reservoir is a function of the levels of all the other reservoirs. The paper shows how to solve this problem and presents the results obtained for systems of two, three, and seven reservoirs. The results for the systems of two and three reservoirs are compared with those obtained with stochastic dynamic programming.</abstract><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2005WR004619</doi><tpages>10</tpages></addata></record> |
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subjects | optimization reservoirs stochastic |
title | Stochastic optimization of multireservoir operation: The optimal reservoir trajectory approach |
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