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| 008 | 071198s1990 th uzm rtt 00| a1eng d | ||
| 035 | _a.b10367937 | ||
| 099 | 9 | _aAIT Diss. no. WA-90-01 | |
| 100 | 0 | _aSaisunee Budhakooncharoen | |
| 245 | 1 | 0 | _aInteractive multi-objective decision making in reservoir operation |
| 260 |
_aBangkok : _bAsian Institute of Technology, _c1990 |
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| 300 | _a271 p. | ||
| 490 | 1 |
_aDissertation ; _vno. WA-90-01 |
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| 500 | _aA dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Engineering, School of Engineering and Technology | ||
| 502 | _aThesis (Ph.D.) - Asian Institute of Technology, 1990 | ||
| 520 | _aAn interactive Multi-Objective Decision Making (MODM) model is developed to derive the non- dominated operational policies of reservoirs in MODM environment. The model relies basically on the interlinkage of two major parts, an alternative generating part and a subsequent evaluation part. To derive a set of non- dominated operating rules in . the alternative generating part, a new method, the Search Beam Model is developed. It is based on the systematic modified Fibonacci Search or Golden Cut procedures to locate the nondominated policy a long a line (Search Beam). The direction of this line in the objective space is determined by the relative preferences the Decision Maker (DM) assigns to the different objectives. The reservoir operational policy is derived by an appropriate method. In this study Incremental Dynamic Programming (IDP) is applied for pre-specified periods. The subsequent evaluation part plays an important role to check whether the solution obtained in the alternative generating part is satisficing. This is accomplished by introducing to the DM the results of the reliability analysis of the reservoir operational policy obtained from the Search Beam Model. The relevant reliability indicators or performance indices (Pl) are determined in such a manner that the DM can obtain a wealth of information concerning each alternative policy which may be a candidate for being the satisficing solution. If the solution is not satisficing, the DM is requested to express new relative preferences on each objective. Then , new non-dominated operation policy will be derived in the alternative generating part and the whole cycle is repeated. This iterative process will be carried out until the DM is satisfied with the solution. The search will be automatically terminated upon reaching t he satisfaction of the DM. To assist the location of the 'most preferred ' (satisficing) alternative, ELECTRE I was applied to reduce the discrete Pareto set by detecting the outranking alternatives. The analysis was based on both objectives and the reliability assessment. The DM will have to select the most preferred alternative among the outranking solutions. The practical viability of the model is shown by applying it to two case studies, t wo single unit water resources systems , the Kariba Reservoir in Central Africa and the Ubol Ratana Reservoir in Thailand. The non-dominated operational policies of the former one are derived by assuming objectives to maximize ( H) ABSTRACT (Cont'd) water surface e l evat ion and hydropower output, while the objective criteria of the latter one are to maximize irrigation water supply and hydropower generation . | ||
| 650 | 0 |
_aReservoirs _xMathematical models |
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| 700 | 1 |
_aHarboe, Ricardo, _eChairperson |
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| 700 | 1 |
_aBogardi, Janos J., _eCo-Chairperson |
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| 700 | 1 |
_aGupta, Ashim Das, _eExamination Committee |
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| 700 | 1 |
_aPaudyal, Guna N., _eExamination Committee |
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| 700 | 1 |
_aTabucanon, Mario T., _eExamination Committee |
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| 700 | 1 |
_aMcBean, Edward, _eExamination Committee |
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| 710 | 2 |
_aDeutsche Gesellschaft fur Technische Zusarnmenarbeit (GTZ), GmbH Federal Republic of Germany, _eScholarship Donor, _eScholarship Donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tDissertation ; _vno. WA-90-01 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B18158 |
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