Fuzzy linear programming based optimal fuel scheduling incorporating blending/transloading facilities
| Autor: | Miodrag Djukanovic, Yoh-Han Pao, B. Milosevic, D.J. Sobajic, B. Babic |
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| Rok vydání: | 1996 |
| Předmět: |
Mathematical optimization
Decision support system Engineering Linear programming business.industry Scheduling (production processes) Energy Engineering and Power Technology Fuzzy control system Fuzzy logic Electric power system Fuzzy number Electrical and Electronic Engineering business Membership function |
| Zdroj: | IEEE Transactions on Power Systems. 11:1017-1023 |
| ISSN: | 0885-8950 |
| Popis: | In this paper, power system blending/transloading facilities are modeled using an interactive fuzzy linear programming (FLP), in order to allow the decision-maker to solve the problem of uncertainty of input information within the fuel scheduling optimization. An interactive decision-making process is formulated in which decision-maker can learn to recognize good solutions by considering all possibilities of fuzziness. The application of the fuzzy formulation is accompanied by a careful examination of the definition of fuzziness, appropriateness of the membership function and interpretation of results. The proposed concept provides a decision support system with integration-oriented features, whereby the decision-maker can learn to recognize the relative importance of factors in the specific domain of optimal fuel scheduling (OFS) problem. The formulation of a fuzzy linear programming problem to obtain a reasonable nonfuzzy solution under consideration of the ambiguity of parameters, represented by fuzzy numbers, is introduced. An additional advantage of the FLP formulation is its ability to deal with multi-objective problems. |
| Databáze: | OpenAIRE |
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