An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem
•Formulate the short-term hydro scheduling (STHS) problem on individual hydro units.•Review mathematical programming approaches to solve the unit-based STHS problem.•Categorize the various choices for modeling objectives and constraints in detail.•Provide a comprehensive comparison for each specific...
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Veröffentlicht in: | Electric power systems research 2020-01, Vol.178, p.106027, Article 106027 |
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creator | Kong, Jiehong Skjelbred, Hans Ivar Fosso, Olav Bjarte |
description | •Formulate the short-term hydro scheduling (STHS) problem on individual hydro units.•Review mathematical programming approaches to solve the unit-based STHS problem.•Categorize the various choices for modeling objectives and constraints in detail.•Provide a comprehensive comparison for each specific issue in formulation of STHS.
The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually adopted in the formulation of the STHS problem. The hydro-turbine generator units in a plant are aggregated as one equivalent unit. Nowadays, more and more hydro producers participate in both energy and capacity markets. It highlights the need for the precise calculation for energy conversion and available capacity of each unit. Formulating the STHS problem on individual units can accurately capture the physical and the operational characteristics of the unit. In this overview, a detailed classification of mathematical programming approaches to model and solve the unit-based STHS problem is presented. The various modeling techniques proposed in the publications since 2000 are categorized by their objectives and constraints. This provides a comprehensive comparison and discussion for each specific issue in the formulation of STHS. We anticipate this overview to be a starting point for finding more computationally solvable and effective methods to handle the challenges in the unit-based STHS problem. |
doi_str_mv | 10.1016/j.epsr.2019.106027 |
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The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually adopted in the formulation of the STHS problem. The hydro-turbine generator units in a plant are aggregated as one equivalent unit. Nowadays, more and more hydro producers participate in both energy and capacity markets. It highlights the need for the precise calculation for energy conversion and available capacity of each unit. Formulating the STHS problem on individual units can accurately capture the physical and the operational characteristics of the unit. In this overview, a detailed classification of mathematical programming approaches to model and solve the unit-based STHS problem is presented. The various modeling techniques proposed in the publications since 2000 are categorized by their objectives and constraints. This provides a comprehensive comparison and discussion for each specific issue in the formulation of STHS. We anticipate this overview to be a starting point for finding more computationally solvable and effective methods to handle the challenges in the unit-based STHS problem.</description><identifier>ISSN: 0378-7796</identifier><identifier>EISSN: 1873-2046</identifier><identifier>DOI: 10.1016/j.epsr.2019.106027</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Electric power generation ; Electricity distribution ; Electricity generation ; Energy conversion ; Hydraulic turbines ; Hydro unit commitment ; Hydroelectric plants ; Hydroelectric power ; Hydropower generation ; Mathematical programming ; Optimization ; Schedules ; Scheduling ; Short-term hydro scheduling ; Systems integration ; Turbogenerators ; Watercourses</subject><ispartof>Electric power systems research, 2020-01, Vol.178, p.106027, Article 106027</ispartof><rights>2019 The Authors</rights><rights>Copyright Elsevier Science Ltd. Jan 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-75eab6f9a667978e0ba324746e136c7a29f66874b3bfbfa9db4623345b810ce73</citedby><cites>FETCH-LOGICAL-c435t-75eab6f9a667978e0ba324746e136c7a29f66874b3bfbfa9db4623345b810ce73</cites><orcidid>0000-0001-6256-4280 ; 0000-0002-3460-5839 ; 0000-0002-4043-3439</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0378779619303463$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Kong, Jiehong</creatorcontrib><creatorcontrib>Skjelbred, Hans Ivar</creatorcontrib><creatorcontrib>Fosso, Olav Bjarte</creatorcontrib><title>An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem</title><title>Electric power systems research</title><description>•Formulate the short-term hydro scheduling (STHS) problem on individual hydro units.•Review mathematical programming approaches to solve the unit-based STHS problem.•Categorize the various choices for modeling objectives and constraints in detail.•Provide a comprehensive comparison for each specific issue in formulation of STHS.
The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually adopted in the formulation of the STHS problem. The hydro-turbine generator units in a plant are aggregated as one equivalent unit. Nowadays, more and more hydro producers participate in both energy and capacity markets. It highlights the need for the precise calculation for energy conversion and available capacity of each unit. Formulating the STHS problem on individual units can accurately capture the physical and the operational characteristics of the unit. In this overview, a detailed classification of mathematical programming approaches to model and solve the unit-based STHS problem is presented. The various modeling techniques proposed in the publications since 2000 are categorized by their objectives and constraints. This provides a comprehensive comparison and discussion for each specific issue in the formulation of STHS. We anticipate this overview to be a starting point for finding more computationally solvable and effective methods to handle the challenges in the unit-based STHS problem.</description><subject>Electric power generation</subject><subject>Electricity distribution</subject><subject>Electricity generation</subject><subject>Energy conversion</subject><subject>Hydraulic turbines</subject><subject>Hydro unit commitment</subject><subject>Hydroelectric plants</subject><subject>Hydroelectric power</subject><subject>Hydropower generation</subject><subject>Mathematical programming</subject><subject>Optimization</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Short-term hydro scheduling</subject><subject>Systems integration</subject><subject>Turbogenerators</subject><subject>Watercourses</subject><issn>0378-7796</issn><issn>1873-2046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7-AU8Bz12Tpk1a8LIsfsGCFz2HpJ3a1LapSbqy_npb69nTwMvzzgwPQteUbCih_LbZwODdJiY0nwJOYnGCVjQTLIpJwk_RijCRRULk_BxdeN8QQngu0hX62PbYHsAdDHxh2-PKum5sVTC291j1JbZDMJ35_k1wB6G2pZ8pHGrAY29CpJWHEvvauhAFcB2uj6Wz2Bc1lGNr-nc8OKtb6C7RWaVaD1d_c43eHu5fd0_R_uXxebfdR0XC0hCJFJTmVa44F7nIgGjF4kQkHCjjhVBxXnGeiUQzXelK5aVOeMxYkuqMkgIEW6ObZe9093MEH2RjR9dPJ-XMCZoSSicqXqjCWe8dVHJwplPuKCmRs1TZyFmqnKXKRepUultKMP0_OXPSFwb6AkrjoAiytOa_-g9OYoH0</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Kong, Jiehong</creator><creator>Skjelbred, Hans Ivar</creator><creator>Fosso, Olav Bjarte</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-6256-4280</orcidid><orcidid>https://orcid.org/0000-0002-3460-5839</orcidid><orcidid>https://orcid.org/0000-0002-4043-3439</orcidid></search><sort><creationdate>202001</creationdate><title>An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem</title><author>Kong, Jiehong ; Skjelbred, Hans Ivar ; Fosso, Olav Bjarte</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-75eab6f9a667978e0ba324746e136c7a29f66874b3bfbfa9db4623345b810ce73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Electric power generation</topic><topic>Electricity distribution</topic><topic>Electricity generation</topic><topic>Energy conversion</topic><topic>Hydraulic turbines</topic><topic>Hydro unit commitment</topic><topic>Hydroelectric plants</topic><topic>Hydroelectric power</topic><topic>Hydropower generation</topic><topic>Mathematical programming</topic><topic>Optimization</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>Short-term hydro scheduling</topic><topic>Systems integration</topic><topic>Turbogenerators</topic><topic>Watercourses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kong, Jiehong</creatorcontrib><creatorcontrib>Skjelbred, Hans Ivar</creatorcontrib><creatorcontrib>Fosso, Olav Bjarte</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electric power systems research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kong, Jiehong</au><au>Skjelbred, Hans Ivar</au><au>Fosso, Olav Bjarte</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem</atitle><jtitle>Electric power systems research</jtitle><date>2020-01</date><risdate>2020</risdate><volume>178</volume><spage>106027</spage><pages>106027-</pages><artnum>106027</artnum><issn>0378-7796</issn><eissn>1873-2046</eissn><abstract>•Formulate the short-term hydro scheduling (STHS) problem on individual hydro units.•Review mathematical programming approaches to solve the unit-based STHS problem.•Categorize the various choices for modeling objectives and constraints in detail.•Provide a comprehensive comparison for each specific issue in formulation of STHS.
The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a single day to one week. Traditionally, an aggregated plant concept is usually adopted in the formulation of the STHS problem. The hydro-turbine generator units in a plant are aggregated as one equivalent unit. Nowadays, more and more hydro producers participate in both energy and capacity markets. It highlights the need for the precise calculation for energy conversion and available capacity of each unit. Formulating the STHS problem on individual units can accurately capture the physical and the operational characteristics of the unit. In this overview, a detailed classification of mathematical programming approaches to model and solve the unit-based STHS problem is presented. The various modeling techniques proposed in the publications since 2000 are categorized by their objectives and constraints. This provides a comprehensive comparison and discussion for each specific issue in the formulation of STHS. We anticipate this overview to be a starting point for finding more computationally solvable and effective methods to handle the challenges in the unit-based STHS problem.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.epsr.2019.106027</doi><orcidid>https://orcid.org/0000-0001-6256-4280</orcidid><orcidid>https://orcid.org/0000-0002-3460-5839</orcidid><orcidid>https://orcid.org/0000-0002-4043-3439</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Electric power generation Electricity distribution Electricity generation Energy conversion Hydraulic turbines Hydro unit commitment Hydroelectric plants Hydroelectric power Hydropower generation Mathematical programming Optimization Schedules Scheduling Short-term hydro scheduling Systems integration Turbogenerators Watercourses |
title | An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem |
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