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    Parambikulam-Aliyar Project Operations Optimization with Reliability Constraints

    Source: Journal of Water Resources Planning and Management:;2013:;Volume ( 139 ):;issue: 004
    Author:
    M. Mahootchi
    ,
    K. Ponnambalam
    DOI: 10.1061/(ASCE)WR.1943-5452.0000261
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a recently developed stochastic programming technique that includes reliability constraints is used to solve the operations optimization problem of the Parambikulam-Aliyar project (PAP), a multireservoir system in India. The use of reliability constraints as chance constraints in reservoir operations optimization have been around for some time, but is still a challenging problem because either the results are not good or they cannot be applied in problems with more than one or two reservoirs when such techniques depend on discretization. The new implementation of chance constraints based on a previous model extended to multireservoir systems provides better results than so far known. This work is easy to apply because it requires only a standard nonlinear programming solver.
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      Parambikulam-Aliyar Project Operations Optimization with Reliability Constraints

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    • Journal of Water Resources Planning and Management

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    contributor authorM. Mahootchi
    contributor authorK. Ponnambalam
    date accessioned2017-05-08T22:03:30Z
    date available2017-05-08T22:03:30Z
    date copyrightJuly 2013
    date issued2013
    identifier other%28asce%29wr%2E1943-5452%2E0000311.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/70125
    description abstractIn this paper, a recently developed stochastic programming technique that includes reliability constraints is used to solve the operations optimization problem of the Parambikulam-Aliyar project (PAP), a multireservoir system in India. The use of reliability constraints as chance constraints in reservoir operations optimization have been around for some time, but is still a challenging problem because either the results are not good or they cannot be applied in problems with more than one or two reservoirs when such techniques depend on discretization. The new implementation of chance constraints based on a previous model extended to multireservoir systems provides better results than so far known. This work is easy to apply because it requires only a standard nonlinear programming solver.
    publisherAmerican Society of Civil Engineers
    titleParambikulam-Aliyar Project Operations Optimization with Reliability Constraints
    typeJournal Paper
    journal volume139
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0000261
    treeJournal of Water Resources Planning and Management:;2013:;Volume ( 139 ):;issue: 004
    contenttypeFulltext
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